Null bytes in file paths can truncate path validation and access unintended files.
f"echo '{notebook_abs}' | tr '\\n' '\\0' | xargs -0 uvx --from detect-secrets detect-secrets-hook --baseline {baseline_path} --plugin {plugins_path} --verbose",Accessing clipboard contents or taking screenshots may be used to capture and exfiltrate sensitive data.
description: Any code snippets, error messages, or screenshots
Remove clipboard/screenshot access unless explicitly required by the tool's stated purpose.
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "5e4c01057a10732d34784af2a97bee9d173863f043b9901de8ef7f57bc590145",
Dynamic imports with variable URLs can load malicious code at runtime.
"content": "#include \"common.h\"\n\nbool both_require(const uint8_t *bytes, size_t len) {\n if (len >= 1 && bytes[0] == 'a') {\n if (len >= 2 && bytes[1] == 'b') {\n if (len >= 3 && bytes[2] == 'c') { return ACCEPT; }\n }\n }\n return REJECT;\n}",Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "use {\n crate::args::LogArgs,\n anyhow::{anyhow, Result},\n simplelog::{Config, LevelFilter, WriteLogger},\n std::fs::File,\n};\n\npub struct Logger;\n\nimpl Logger {\n pub fn init(args: &impl LogArgs) -> Result<()> {\n let filter: LevelFilter = args.log_level().into();\n if filter != LevelFilter::Off {\n let logfile = File::create(args.log_file())\n .map_err(|e| anyhow!(\"Failed to open log file: {e:}\"))?;\n WriteLogTool descriptions containing hidden HTML or XML tags can inject invisible directives to manipulate LLM behavior.
"text": "Making requests\n\n\nThe following examples shows how to generate text from Claude 3 Sonnet on Bedrock:\nPython Typescript Boto3 (Python) from anthropic import AnthropicBedrock\n\nclient = AnthropicBedrock ( # Authenticate by either providing the keys below or use the default AWS credential providers, such as # using ~/.aws/credentials or the \"AWS_SECRET_ACCESS_KEY\" and \"AWS_ACCESS_KEY_ID\" environment variables. aws_access_key = \"<access key>\" , aws_secret_key = \"<secret key>\" ,
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/health")Add rate limiting middleware to all public API endpoints.
Python's exec() function executes arbitrary code strings and is a vector for code injection.
# Run using exec (no shell) to prevent injection via metacharacters
Remove exec() calls. Use ast.literal_eval for safe expression evaluation.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
"SELECT * FROM pg_stat_activity"
Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.
Detected tool responses that attempt to call or invoke other tools (use_tool, call_tool, invoke, execute_tool). A poisoned tool response could trick the LLM into executing additional tools without user consent.
result = execute_tool(content, memory_handler)
Tool responses should never contain tool invocation patterns. Validate and sanitize all output to ensure it does not include cross-tool call instructions.
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
f"echo '{notebook_abs}' | tr '\\n' '\\0' | xargs -0 uvx --from detect-secrets detect-secrets-hook",Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "# Translated to Python and adapted for Ciphey from the JS original at https://github.com/pshihn/base69\n\n\nimport re\nfrom math import ceil\nfrom typing import Dict, Optional\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, U, WordList, registry\n\n\n@registry.register\nclass Base69(Decoder[str]):\n def decode(self, ctext: T) -> Optional[U]:\n \"\"\"\n Performs Base69 decoding\n \"\"\"\n # Remove whitespace\n try:\n ctext =
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " for i in range(CHUNK_COUNT):\n chunk_string = ctext[i * 16 : (i + 1) * 16]\n if extra_bytes and (i == CHUNK_COUNT - 1):\n insert = self.decode_chunk(chunk_string)\n for n, elem in enumerate(insert[0 : 7 - extra_bytes]):\n result[n + i * 7] = elem\n else:\n insert = self.decode_chunk(chunk_string)\n for n, elem in enumerate(insert)
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "#include \"value_generators.h\"\n\n#include <algorithm>\n#include <type_traits>\n#include <math.h>\n\nnamespace {\nusing namespace clickhouse;\n}\n\nstd::vector<uint32_t> MakeNumbers() {\n return std::vector<uint32_t> {1, 2, 3, 7, 11, 13, 17, 19, 23, 29, 31};\n}\n\nstd::vector<uint8_t> MakeBools() {\n return std::vector<uint8_t> {1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0};\n}\n\nstd::vector<std::string> MakeFixedStrings(size_t string_size) {\n std::vector<std::string> result = MakeStrStrip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "#include \"value_generators.h\"\n\n#include <algorithm>\n#include <type_traits>\n#include <math.h>\n\nnamespace {\nusing namespace clickhouse;\n}\n\nstd::vector<uint32_t> MakeNumbers() {\n return std::vector<uint32_t> {1, 2, 3, 7, 11, 13, 17, 19, 23, 29, 31};\n}\n\nstd::vector<uint8_t> MakeBools() {\n return std::vector<uint8_t> {1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0};\n}\n\nstd::vector<std::string> MakeFixedStrings(size_t string_size) {\n std::vector<std::string> result = MakeStrStrip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "#include \"type_parser.h\"\n\n#include \"clickhouse/exceptions.h\"\n#include \"clickhouse/base/platform.h\" // for _win_\n\n#include <algorithm>\n#include <cmath>\n#include <map>\n#include <mutex>\n#include <unordered_map>\n\n#if defined _win_\n#include <string.h>\n#else\n#include <strings.h>\n#endif\n\n\nnamespace clickhouse {\n\nbool TypeAst::operator==(const TypeAst & other) const {\n return meta == other.meta\n && code == other.code\n && name == other.name\n Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " // Empty input string, no tokens produced\n if (processed_tokens == 0)\n return false;\n\n return ValidateAST(*type);\n }\n case Token::Invalid:\n return false;\n }\n ++processed_tokens;\n } while (true);\n}\n\nTypeParser::Token TypeParser::NextToken() {\n for (; cur_ < end_; ++cur_) {\n switch (*cur_) {\n case ' ':\n case '\\n':\n Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": "/*\n * (C) Copyright 2023 Password4j (http://password4j.com/).\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR C
Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " private static final Object[][] TEST_VECTORS = new Object[][]{\n // Single thread\n new Object[]{\"hunter42\", \"examplesalt\", \"SHA-256\", 1024, 3, 0, 3, \"716043dff777b44aa7b88dcbab12c078abecfac9d289c5b5195967aa63440dfb\"},\n new Object[]{\"\", \"salt\", \"SHA-256\", 3, 3, 0, 3, \"5f02f8206f9cd212485c6bdf85527b698956701ad0852106f94b94ee94577378\"},\n new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 0, 3, \"20aa99d7fe3f4df4bd98c655Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " private static final Object[][] TEST_VECTORS = new Object[][]{\n // Single thread\n new Object[]{\"hunter42\", \"examplesalt\", \"SHA-256\", 1024, 3, 0, 3, \"716043dff777b44aa7b88dcbab12c078abecfac9d289c5b5195967aa63440dfb\"},\n new Object[]{\"\", \"salt\", \"SHA-256\", 3, 3, 0, 3, \"5f02f8206f9cd212485c6bdf85527b698956701ad0852106f94b94ee94577378\"},\n new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 0, 3, \"20aa99d7fe3f4df4bd98c655Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 1, 3, \"498344ee9d31baf82cc93ebb3874fe0b76e164302c1cefa1b63a90a69afb9b4d\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 4, 3, \"8a665611e40710ba1fd78c181549c750f17c12e423c11930ce997f04c7153e0c\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 1, 3, \"d9e33c683451b21fb3720afbd78bf12518c1d4401fa39f054b052a145c968bb1\"},\n new Object[]{\"password\", \"salt\", \"SHA-256Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 1, 3, \"498344ee9d31baf82cc93ebb3874fe0b76e164302c1cefa1b63a90a69afb9b4d\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 4, 3, \"8a665611e40710ba1fd78c181549c750f17c12e423c11930ce997f04c7153e0c\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 1, 3, \"d9e33c683451b21fb3720afbd78bf12518c1d4401fa39f054b052a145c968bb1\"},\n new Object[]{\"password\", \"salt\", \"SHA-256Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 1, 3, \"498344ee9d31baf82cc93ebb3874fe0b76e164302c1cefa1b63a90a69afb9b4d\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 4, 3, \"8a665611e40710ba1fd78c181549c750f17c12e423c11930ce997f04c7153e0c\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 1, 3, \"d9e33c683451b21fb3720afbd78bf12518c1d4401fa39f054b052a145c968bb1\"},\n new Object[]{\"password\", \"salt\", \"SHA-256Strip null bytes from all file path inputs before processing.
Null bytes in file paths can truncate path validation and access unintended files.
"content": " new Object[]{\"password\", \"\", \"SHA-256\", 3, 3, 1, 3, \"498344ee9d31baf82cc93ebb3874fe0b76e164302c1cefa1b63a90a69afb9b4d\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 4, 3, \"8a665611e40710ba1fd78c181549c750f17c12e423c11930ce997f04c7153e0c\"},\n new Object[]{\"\\000\", \"\\000\", \"SHA-256\", 3, 3, 1, 3, \"d9e33c683451b21fb3720afbd78bf12518c1d4401fa39f054b052a145c968bb1\"},\n new Object[]{\"password\", \"salt\", \"SHA-256Strip null bytes from all file path inputs before processing.
Backslash-based directory traversal patterns targeting Windows file systems.
"content": "import pytest\n\nfrom ciphey import decrypt\nfrom ciphey.iface import Config\n\nanswer_str = \"Hello my name is bee and I like dog and apple and tree\"\n\n\ndef test_a1z26():\n res = decrypt(\n Config().library_default().complete_config(),\n \"8 5 12 12 15 13 25 14 1 13 5 9 19 2 5 5 1 14 4 9 12 9 11 5 4 15 7 1 14 4 1 16 16 12 5 1 14 4 20 18 5 5\",\n )\n assert res == \"hellomynameisbeeandilikedogandappleandtree\"\n\n\ndef test_affine():\n res = decrypt(\n
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"content": " assert res == answer_str\n\n\ndef test_braille():\n res = decrypt(\n Config.library_default().complete_config(),\n \"\u2813\u2811\u2807\u2807\u2815\u2800\u280d\u283d\u2800\u281d\u2801\u280d\u2811\u2800\u280a\u280e\u2800\u2803\u2811\u2811\u2800\u2801\u281d\u2819\u2800\u280a\u2800\u2807\u280a\u2805\u2811\u2800\u2819\u2815\u281b\u2800\u2801\u281d\u2819\u2800\u2801\u280f\u280f\u2807\u2811\u2800\u2801\u281d\u2819\u2800\u281e\u2817\u2811\u2811\",\n )\n assert res
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Authentication\n\n\nAll requests to the Claude API must include an x-api-key header with your API key. If you are using the Client SDKs, you will set the API when constructing a client, and then the SDK will send the header on your behalf with every request. If integrating directly with the API, you\u2019ll need to send this header yourself.\nShellcurl https://api.anthropic.com/v1/messages --header \"x-api-key: YOUR_API_KEY\" ...\nShell\nShell\n\ncurl https://api.anthropic.com/v1/messag
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Enter your first prompt\n\n\nThere are two main functions you can use to call Claude using Claude for Sheets. For now, let\u2019s use CLAUDE().\n1Simple promptIn any cell, type =CLAUDE(\"Claude, in one sentence, what's good about the color blue?\")\nClaude should respond with an answer. You will know the prompt is processing because the cell will say Loading...\n2Adding parametersParameter arguments come after the initial prompt, like =CLAUDE(prompt, model, params...).\nmodel is always
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Optional function parameters\n\n\nYou can specify optional API parameters by listing argument-value pairs.\nYou can set multiple parameters. Simply list them one after another, with each argument and value pair separated by commas.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also setting the model.\nThe first two parameters must always be the prompt and the model. You cannot set an optional parameter without also settin
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"text": "Handling tool use and tool result content blocks\n\n\nWhen Claude decides to use one of the tools you\u2019ve provided, it will return a response with a stop_reason of tool_use and one or more tool_use content blocks in the API response that include:\nid: A unique identifier for this particular tool use block. This will be used to match up the tool results later.\nname: The name of the tool being used.\ninput: An object containing the input being passed to the tool, conforming to the to
Normalize path separators and apply traversal checks for both forward and backslashes.
Backslash-based directory traversal patterns targeting Windows file systems.
"correct_answer": "When calling the Claude API using Claude for Sheets, you can specify API parameters in two ways: 1) As additional arguments after the prompt and model in the CLAUDE() function, like =CLAUDE(prompt, model, \"max_tokens\", 3). 2) By passing in an API key to be used just for a specific cell, like \"api_key\", \"sk-ant-api03-j1W...\""
Normalize path separators and apply traversal checks for both forward and backslashes.
Using Python's open() with variable paths without validation enables path traversal.
with open(args.input) as f:
Validate and sanitize file paths using os.path.realpath() and check against allowed directories.
Using Python's open() with variable paths without validation enables path traversal.
with open(args.input) as f:
Validate and sanitize file paths using os.path.realpath() and check against allowed directories.
Paths containing '../' sequences targeting sensitive system files (etc/passwd, .ssh, .env) can escape intended directories.
- ../../.env
Validate and sanitize file paths. Use path.resolve() with a base directory and verify the result stays within the allowed root.
Backslash-based directory traversal patterns targeting Windows file systems.
print("\nStreaming Claude response...\n")Normalize path separators and apply traversal checks for both forward and backslashes.
Sending conversation, prompt, or session data to external storage services may leak sensitive user interactions.
ws.send(json.dumps(initial_message))
Do not write session or conversation data to external storage. Keep user interaction data within the authorized session boundary.
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
- uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/setup-python@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: lycheeverse/lychee-action@v2
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: lycheeverse/lychee-action@v2
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: marocchino/sticky-pull-request-comment@v2
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/upload-artifact@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
- uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: astral-sh/setup-uv@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
- uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: astral-sh/setup-uv@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
- uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: astral-sh/setup-uv@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/upload-artifact@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
- uses: actions/checkout@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: astral-sh/setup-uv@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: anthropics/claude-code-action@v1
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/upload-artifact@v4
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/checkout@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Using GitHub Actions with branch references instead of SHA pins enables supply chain attacks.
uses: actions/setup-python@v6
Pin GitHub Actions to full commit SHAs: uses: actions/checkout@abc123...
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "78cd6ead8e87695b47c2904e3027ae2b7251677caa5c5815b38c8756fe1a0b0c",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "2b9a8221386274740c40ffa7cdeee92c189fa3f9f59f17c347bfa99abbfa84cd",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "531430fb53d5505059ecf3d7c8b4b6dd2a8ea035e0b37da202c385b706c7890f",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "0732e22d364e4359bf093902d674d9ec891bf9a2b4281da5c5bebc1d67879f95",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "9de08c4cbd3e0aca53020c82fcb434e39fc07d85fc092617f89c993d1fd28210",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "a72987c2673fe8ea07415380a869075c4e492ac6323ef0d1126bec73e8d4319f",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "86e39b19ca47c979baa00968bc37f96da0b379d1e2a30e8407738bdce8e98748",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "f53f33e3403059a8fa7d21b3037c33c6a797fa43c38bca3e16adedee20780642",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "17f3b912090b0ab395e7ceed8c88c38cea8c99bc292e3d94feec7a7dcbdf3ee2",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "db4820f398227726bb49a455d49677d8b6cce93fd915b4632ce34ca39c1684f4",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "ea58fee353c3cce2856ea3e5cba5cad31eb25bef27af6a2828000a99cca9d947",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "3990e75dcaf5a10f72ca64cdf4ac7c3cbeb3e0e9c643269d774222d0b105bb7b",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "b9849c2091e8c45fe2589066b6c8ac5d95127a61895c7482b37250e853ab8aad",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "d4bc89992e119e8c40738b830e03e9586e1cb958d4e30c96f935e7385841364f",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "fd3a6d5d6a5a1ab1afaae8810c2d2141ea1707b7eb7bfd5b883947d078519c31",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "44f12a4ef079daf871dc6a95ed7af4ff2ec55b48ca3b004dfc954bf4c9b05ba3",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "bfc6250497ea53318a31782941f86e13660430636fa5ac61fbda86e2ffb94ea2",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "2da927c1c66089a8d0af2c7edd199977cc56933b1ba803439d7f2f7f7592f3a3",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "1cb2aa7099194a80d66547995e291634a603cb89864add10e5fa54c0a6656c74",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "538e985a1d85e0fc67ab55f40ee6dade761bf959d5e8f3daca45b722935ba6a5",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "6ffb0cf236934c884639effc308d9cb67a7cd33d849153664bd70cc5b7dc6787",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "68689866af92461ae59fa9f0bc3064ba012e1482bce9a48fc44e1b25a26ac50c",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "8001dcf16ed7af29411a65852c128e572d3ca6697c0f70ae4e1018147047ea69",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "e3d478567bc2bb9f55952c093a97847b3dc538cdcdd9d8b74b855857cf238bd1",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "b55a4b2aefbbe30b355c360d7f1f24bd114d9699fdd21c2e4eae3f693ab5ef36",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "f08b70253a31ba96a0e3e873e3f53393786ceb5fb150ea3878551b32ccf3914d",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "087c7915a5df0e768bca07ed728ccdebfa8bfd6d5eeb03a815ad219ead305e6a",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "130da0aba10d9e75238c693ee9b6ea2494f8eca2a10e29fa834efe3729ee5bd6",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "43bd45ab839500606044476e58992df90d6c72471777260327776df9c3f3d4bd",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "4969d098eff293d66a67d63d1c2d7c785a7b09666272510b9e0c6324e8246dc8",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "e154c2b27db3036da0a3ae9e88f7445ec748ea9d2d1c24b14460801801705c66",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "f8dd24de0db395aa7cff1e4c804eb1d10f916c9b4765d7c790b1dedfa339f913",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "bd642f9c2a6fa3b4643bf66c82f214dd6cea1dcff7f20ce8cad864503b7f40ee",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "f59e2b84517250cd221b201aeac31b98b6174d155ea11255097ffb06702d29b0",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "26dc2c78337411bfcc55ab9e71922005456242e97463ace852147e88984a5f08",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "e23ba17cf99c628afc86f67b22af62848a96d600c7e29bfb7fb12e5cacea7f05",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "e357fbf7acddc26c61f964891486394c176804f31a319d178f3a4c9b41dd47e0",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "c5cc0b3e2067eb3f0eec0e111678da31cd242215e7c815420964ca9d607e7ddf",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "eabb6a15874b3744292a5808f64e7a6ddf5b7114f80bad3306c2af61d8799b09",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "a7207d085190f179fc2a0f4ed97aece6f033ecdda1104e75dac8fe43844b598b",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "2c42fa36aa434372ba169a9f7cbfe3a0a0b140342bb70fe07907b93ac23f23e9",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "b80798210bd12005120f16aa5e3903f550597521ed42ea5f67a050954fbd78ad",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "cf29d0f1b0d00030546c50e9c15f1fc432ba590aaa270f7c6dcfa2591c386f25",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "2c96230c24dfd108a09abadeb43abd5f3220c4890e6e1bef947ab5dbb7628757",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
String literals matching known API key prefixes (sk-, ghp_, AKIA, xoxb-, etc.) or long base64-like strings may expose secrets in source code.
"original_uuid": "bf58cf0c65c709224da0f68ad6bd4fed3df1afcf9677f840b923e95af7377a0b",
Remove hardcoded secrets from source code. Use environment variables or a secrets manager.
Use static imports only. Do not dynamically import modules from variable paths.
Dynamic imports with variable URLs can load malicious code at runtime.
"content": "#include \"common.h\"\n\nbool both_require(const uint8_t *bytes, size_t len) {\n if (len >= 1 && bytes[0] == 'a') {\n if (len >= 2 && bytes[1] == 'b') {\n if (len >= 3 && bytes[2] == 'c') { return ACCEPT; }\n }\n }\n return REJECT;\n}"Use static imports only. Do not dynamically import modules from variable paths.
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "use {\n crate::args::LogArgs,\n anyhow::{anyhow, Result},\n simplelog::{Config, LevelFilter, WriteLogger},\n std::fs::File,\n};\n\npub struct Logger;\n\nimpl Logger {\n pub fn init(args: &impl LogArgs) -> Result<()> {\n let filter: LevelFilter = args.log_level().into();\n if filter != LevelFilter::Off {\n let logfile = File::create(args.log_file())\n .map_err(|e| anyhow!(\"Failed to open log file: {e:}\"))?;\n WriteLogEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "from typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, U, registry\n\n\n@registry.register\nclass Octal(Decoder[str]):\n def decode(self, ctext: T) -> Optional[U]:\n \"\"\"\n Performs Octal decoding\n \"\"\"\n str_converted = []\n octal_seq = ctext.split(\" \")\n if len(octal_seq) == 1:\n # Concatted octal must be formed of octal triple
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "from typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, U, registry\n\n\n@registry.register\nclass Octal(Decoder[str]):\n def decode(self, ctext: T) -> Optional[U]:\n \"\"\"\n Performs Octal decoding\n \"\"\"\n str_converted = []\n octal_seq = ctext.split(\" \")\n if len(octal_seq) == 1:\n # Concatted octal must be formed of octal triple
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " return None\n n = int(octal_char, 8)\n if (\n n < 0\n ): # n cannot be greater than 255, as we checked that with the earlier length check\n logging.debug(f\"Non octal char {octal_char}\")\n return None\n str_converted.append(n)\n\n return bytes(str_converted)\n # Catch bad octal chars\n except ValueError:\n returEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "import re\nfrom typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, U, registry\n\n\n@registry.register\nclass A1z26(Decoder[str]):\n def decode(self, ctext: T) -> Optional[U]:\n \"\"\"\n Performs A1Z26 decoding\n \"\"\"\n logging.debug(\"Attempting A1Z26\")\n ctext_converted = []\n ctext_split = re.split(r\"[ ,;:\\-\\n]\", ctext)\n delimiter
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "import re\nfrom typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, U, registry\n\n\n@registry.register\nclass A1z26(Decoder[str]):\n def decode(self, ctext: T) -> Optional[U]:\n \"\"\"\n Performs A1Z26 decoding\n \"\"\"\n logging.debug(\"Attempting A1Z26\")\n ctext_converted = []\n ctext_split = re.split(r\"[ ,;:\\-\\n]\", ctext)\n delimiter
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " f\"Failed to decode A1Z26 due to invalid number '{val}'\"\n )\n return None\n val2 = int(i) + 96\n ctext_converted.append(chr(val2))\n ctext_decoded = \"\".join(ctext_converted)\n logging.info(\n f\"A1Z26 successful, returning '{ctext_decoded}' with delimiter(s) {delimiters}\"\n )\n return ctext_decoded\n except Exception:\n Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "from typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, Translation, U, registry\n\n\n@registry.register\nclass Morse_code(Decoder[str]):\n # A priority list for char/word boundaries\n BOUNDARIES = {\" \": 1, \"/\": 2, \"\\n\": 3}\n PURGE = {ord(c): None for c in BOUNDARIES.keys()}\n MAX_PRIORITY = 3\n ALLOWED = {\".\", \"-\", \" \", \"/\", \"\\n\"}\n MORSE_CODE_DICT: Dict[sEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "from typing import Dict, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import Config, Decoder, ParamSpec, T, Translation, U, registry\n\n\n@registry.register\nclass Morse_code(Decoder[str]):\n # A priority list for char/word boundaries\n BOUNDARIES = {\" \": 1, \"/\": 2, \"\\n\": 3}\n PURGE = {ord(c): None for c in BOUNDARIES.keys()}\n MAX_PRIORITY = 3\n ALLOWED = {\".\", \"-\", \" \", \"/\", \"\\n\"}\n MORSE_CODE_DICT: Dict[sEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " char_boundary = word_boundary = None\n char_priority = word_priority = 0\n # Custom loop allows early break\n for i in ctext:\n i_priority = self.BOUNDARIES.get(i)\n if i_priority is None:\n if i in self.ALLOWED:\n continue\n logging.debug(f\"Non-morse char '{i}' found\")\n return None\n\n"Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " if i_priority <= char_priority or i == char_boundary or i == word_boundary:\n continue\n # Default to having a char boundary over a word boundary\n if (\n i_priority > word_priority\n and word_boundary is None\n and char_boundary is not None\n ):\n word_priority = i_priority\n word_boundary = i\n continue\n char_priority = i_
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " for word in ctext.split(word_boundary) if word_boundary else [ctext]:\n logging.debug(f\"Attempting to decode word {word}\")\n for char in word.split(char_boundary):\n char = char.translate(self.PURGE)\n if len(char) == 0:\n continue\n try:\n m = self.MORSE_CODE_DICT_INV[char]\n except KeyError:\n logging.debug(f\"Invalid codeword '{char}'Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "import re\nfrom typing import Dict, List, Optional\n\nimport logging\nfrom rich.logging import RichHandler\n\nfrom ciphey.iface import (\n Config,\n Cracker,\n CrackInfo,\n CrackResult,\n ParamSpec,\n Translation,\n registry,\n)\n\n\n@registry.register\nclass Soundex(Cracker[str]):\n def getInfo(self, ctext: str) -> CrackInfo:\n return CrackInfo(\n success_likelihood=0.1,\n success_runtime=1e-5,\n failure_runtime=1e-5,\n
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " def attemptCrack(self, ctext: str) -> List[CrackResult]:\n \"\"\"\n Attempts to crack Soundex by generating all possible combinations.\n \"\"\"\n logging.debug(\"Attempting Soundex cracker\")\n word_list = []\n sentences = []\n result = []\n\n # Convert to uppercase and replace delimiters and whitespace with nothing\n ctext = re.sub(r\"[,;:\\-\\s]\", \"\", ctext.upper())\n\n # Make sure ctext contains only A-Z
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " # Make sure ctext is divisible by 4\n ctext_len = len(ctext)\n if ctext_len % 4:\n logging.debug(\n f\"Failed to decode Soundex because length must be a multiple of 4, not '{ctext_len}'\"\n )\n return None\n\n # Split ctext into groups of 4\n ctext = \" \".join(ctext[i : i + 4] for i in range(0, len(ctext), 4))\n ctext_split = ctext.split(\" \")\n soundex_keys = self.SOUNDEX_DICT.keys()\Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "from functools import lru_cache\nfrom typing import Any, Dict, Optional, Set\n\nimport cipheydists\nimport logging\n\nfrom ciphey.iface import (\n Config,\n Distribution,\n ParamSpec,\n ResourceLoader,\n Translation,\n WordList,\n registry,\n)\n\n\n@registry.register_multi(WordList, Distribution, Translation)\nclass CipheyDists(ResourceLoader):\n # _wordlists: Set[str] = frozenset({\"english\", \"english1000\", \"englishStopWords\"})\n # _brandons: Set[str]Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": " def whatResources(self) -> Optional[Set[str]]:\n pass\n\n @lru_cache()\n def getResource(self, name: str) -> Any:\n logging.debug(f\"Loading cipheydists resource {name}\")\n prefix, name = name.split(\"::\", 1)\n return self._getters[prefix](name)\n\n def __init__(self, config: Config):\n super().__init__(config)\n\n @staticmethod\n def getParams() -> Optional[Dict[str, ParamSpec]]:\n return None\n"Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "// Copyright 2005, Google Inc.\n// All rights reserved.\n//\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions are\n// met:\n//\n// * Redistributions of source code must retain the above copyright\n// notice, this list of conditions and the following disclaimer.\n// * Redistributions in binary form must reproduce the above\n// copyright notice, this list of conditions and the following
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "// LOG(DFATAL) << \"death\";\n// return 12;\n// }\n//\n// TEST(TestSuite, TestDieOr12WorksInDgbAndOpt) {\n// int sideeffect = 0;\n// // Only asserts in dbg.\n// EXPECT_DEBUG_DEATH(DieInDebugOr12(&sideeffect), \"death\");\n//\n// #ifdef NDEBUG\n// // opt-mode has sideeffect visible.\n// EXPECT_EQ(12, sideeffect);\n// #else\n// // dbg-mode no visible sideeffect.\n// EXPECT_EQ(0, sideeffect);\n// #endif\n// }\n//\n// This will assert that DieInDebugReturn12InOpt() crasEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "// the end allows the syntax of streaming additional messages into the\n// macro, for compilational compatibility with EXPECT_DEATH/ASSERT_DEATH.\n# define GTEST_UNSUPPORTED_DEATH_TEST(statement, regex, terminator) \\\n GTEST_AMBIGUOUS_ELSE_BLOCKER_ \\\n if (::testing::internal::AlwaysTrue()) { \\\n GTEST_LOG_(WARNING) \\\n << \"Death tests are not supported on this platform.\\n\" \\\n << \"Statement '\" #statement \"' cannot be verified.\"; \\\n } eEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "/*\n * Copyright 2020 Google LLC.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\"); you may not\n * use this file except in compliance with the License. You may obtain a copy of\n * the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n * WARRANTIES OR CONDITIONS OF ANY KIND, either expres
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"content": "/*\n * Copyright 2018 Google LLC.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\"); you may not\n * use this file except in compliance with the License. You may obtain a copy of\n * the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n * WARRANTIES OR CONDITIONS OF ANY KIND, either expres
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected console.log() usage in non-test source code. Console.log is not appropriate for production logging as it lacks log levels, structured output, and proper log management.
"text": "Typescript\n\n\nTypescript library GitHub repo\nExample:\nTypescriptimport Anthropic from '@anthropic-ai/sdk';\n\nconst anthropic = new Anthropic({\n apiKey: 'my_api_key', // defaults to process.env[\"ANTHROPIC_API_KEY\"]\n});\n\nconst msg = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-20241022\",\n max_tokens: 1024,\n messages: [{ role: \"user\", content: \"Hello, Claude\" }],\n});\nconsole.log(msg);\nTypescript\nTypescript\n\nimport Anthropic from '@anthropic-ai/Replace console.log with a structured logging library (e.g., winston, pino) that supports log levels and proper log management.
Detected console.log() usage in non-test source code. Console.log is not appropriate for production logging as it lacks log levels, structured output, and proper log management.
"text": "Typescript\n\n\nTypescript library GitHub repo\nExample:\nTypescriptimport Anthropic from '@anthropic-ai/sdk';\n\nconst anthropic = new Anthropic({\n apiKey: 'my_api_key', // defaults to process.env[\"ANTHROPIC_API_KEY\"]\n});\n\nconst msg = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-20241022\",\n max_tokens: 1024,\n messages: [{ role: \"user\", content: \"Hello, Claude\" }],\n});\nconsole.log(msg);\nTypescript\nTypescript\n\nimport Anthropic from '@anthropic-ai/Replace console.log with a structured logging library (e.g., winston, pino) that supports log levels and proper log management.
Detected console.log() usage in non-test source code. Console.log is not appropriate for production logging as it lacks log levels, structured output, and proper log management.
"text": "Typescript\n\n\nTypescript library GitHub repo\nExample:\nTypescriptimport Anthropic from '@anthropic-ai/sdk';\n\nconst anthropic = new Anthropic({\n apiKey: 'my_api_key', // defaults to process.env[\"ANTHROPIC_API_KEY\"]\n});\n\nconst msg = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-20241022\",\n max_tokens: 1024,\n messages: [{ role: \"user\", content: \"Hello, Claude\" }],\n});\nconsole.log(msg);\nTypescript\nTypescript\n\nimport Anthropic from '@anthropic-ai/Replace console.log with a structured logging library (e.g., winston, pino) that supports log levels and proper log management.
Detected console.log() usage in non-test source code. Console.log is not appropriate for production logging as it lacks log levels, structured output, and proper log management.
"text": "Typescript\n\n\nTypescript library GitHub repo\nExample:\nTypescriptimport Anthropic from '@anthropic-ai/sdk';\n\nconst anthropic = new Anthropic({\n apiKey: 'my_api_key', // defaults to process.env[\"ANTHROPIC_API_KEY\"]\n});\n\nconst msg = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-20241022\",\n max_tokens: 1024,\n messages: [{ role: \"user\", content: \"Hello, Claude\" }],\n});\nconsole.log(msg);\nTypescript\nTypescript\n\nimport Anthropic from '@anthropic-ai/Replace console.log with a structured logging library (e.g., winston, pino) that supports log levels and proper log management.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Start with the Workbench\n\n\nAny API call you make\u2013-regardless of the specific task-\u2013sends a well-configured prompt to the Claude API. As you\u2019re learning to make the most of Claude, we recommend that you start the development process in the Workbench, a web-based interface to Claude.\nLog into the Claude Console and click Workbench.\nIn the middle section, under User, let\u2019s ask Claude a question.\nUserWhy is the ocean salty?\nUser\nUser\n\nWhy is the ocean salty?\nW
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Text capabilities and use cases\n\n\nClaude has a broad range of text-based capabilities, including but not limited to:\nCapabilityThis enables you to\u2026Text SummarizationDistill lengthy content into key insights for executives, social media, or product teams.Content GenerationCraft compelling content from blog posts and emails to marketing slogans and product descriptions.Data / Entity ExtractionUncover structured insights from unstructured text like reviews, news articles, or trans
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Available Voyage models\n\n\nVoyage recommends using the following embedding models:\nModelContext LengthEmbedding DimensionDescriptionvoyage-large-2160001536Voyage AI\u2019s most powerful generalist embedding model.voyage-code-2160001536Optimized for code retrieval (17% better than alternatives), and also SoTA on general-purpose corpora. See this Voyage blog post for details.voyage-240001024Base generalist embedding model optimized for both latency and quality.voyage-lite-02-instruct40
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Troubleshooting errors\n\n\nThere are a few different types of errors that can occur when using tools with Claude:\nTool execution error If the tool itself throws an error during execution (e.g. a network error when fetching weather data), you can return the error message in the content along with \"is_error\": true : JSON { \"role\" : \"user\" , \"content\" : [ { \"type\" : \"tool_result\" , \"tool_use_id\" : \"toolu_01A09q90qw90lq917835lq9\" , \"content\" : \"ConnectionError: the weatEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Making requests\n\n\nBefore running requests you may need to run gcloud auth application-default login to authenticate with GCP.\nThe following examples shows how to generate text from Claude 3 Haiku on Vertex AI:\nPython Typescript cURL from anthropic import AnthropicVertex\n\nproject_id = \"MY_PROJECT_ID\" # Where the model is running. e.g. us-central1 or europe-west4 for haiku region = \"MY_REGION\" client = AnthropicVertex ( project_id = project_id , region = region ) message = clie
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Start with the Workbench\n\n\nAny API call you make\u2013-regardless of the specific task-\u2013sends a well-configured prompt to the Claude API. As you\u2019re learning to make the most of Claude, we recommend that you start the development process in the Workbench, a web-based interface to Claude.\nLog into the Claude Console and click Workbench.\nIn the middle section, under User, let\u2019s ask Claude a question.\nUserWhy is the ocean salty?\nUser\nUser\n\nWhy is the ocean salty?\nW
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Example evals\n\n\nTask fidelity (sentiment analysis) - exact match evaluation What it measures : Exact match evals measure whether the model\u2019s output exactly matches a predefined correct answer. It\u2019s a simple, unambiguous metric that\u2019s perfect for tasks with clear-cut, categorical answers like sentiment analysis (positive, negative, neutral). Example eval test cases : 1000 tweets with human-labeled sentiments. import anthropic\n\ntweets = [ { \"text\" : \"This movie was Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Text capabilities and use cases\n\n\nClaude has a broad range of text-based capabilities, including but not limited to:\nCapabilityThis enables you to\u2026Text SummarizationDistill lengthy content into key insights for executives, social media, or product teams.Content GenerationCraft compelling content from blog posts and emails to marketing slogans and product descriptions.Data / Entity ExtractionUncover structured insights from unstructured text like reviews, news articles, or trans
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Available Voyage models\n\n\nVoyage recommends using the following embedding models:\nModelContext LengthEmbedding DimensionDescriptionvoyage-large-2160001536Voyage AI\u2019s most powerful generalist embedding model.voyage-code-2160001536Optimized for code retrieval (17% better than alternatives), and also SoTA on general-purpose corpora. See this Voyage blog post for details.voyage-240001024Base generalist embedding model optimized for both latency and quality.voyage-lite-02-instruct40
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
"text": "Troubleshooting errors\n\n\nThere are a few different types of errors that can occur when using tools with Claude:\nTool execution error If the tool itself throws an error during execution (e.g. a network error when fetching weather data), you can return the error message in the content along with \"is_error\": true : JSON { \"role\" : \"user\" , \"content\" : [ { \"type\" : \"tool_result\" , \"tool_use_id\" : \"toolu_01A09q90qw90lq917835lq9\" , \"content\" : \"ConnectionError: the weatEnsure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
pass # Suppress logs
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Detected patterns that disable, silence, or suppress logging or audit trails. Disabling security logging can mask malicious activity and hinder incident investigation.
logo_usage_rules: dict | None = None
Ensure security-related logging is always enabled in production. Never suppress audit trails or security event logs.
Remove hidden HTML/XML tags from tool descriptions. Descriptions must be plain text.
Tool descriptions containing hidden HTML or XML tags can inject invisible directives to manipulate LLM behavior.
"text": "Making requests\n\n\nThe following examples shows how to generate text from Claude 3 Sonnet on Bedrock:\nPython Typescript Boto3 (Python) from anthropic import AnthropicBedrock\n\nclient = AnthropicBedrock ( # Authenticate by either providing the keys below or use the default AWS credential providers, such as # using ~/.aws/credentials or the \"AWS_SECRET_ACCESS_KEY\" and \"AWS_ACCESS_KEY_ID\" environment variables. aws_access_key = \"<access key>\" , aws_secret_key = \"<secret key>\" ,
Remove hidden HTML/XML tags from tool descriptions. Descriptions must be plain text.
Tool descriptions containing hidden HTML or XML tags can inject invisible directives to manipulate LLM behavior.
"text": "Making requests\n\n\nThe following examples shows how to generate text from Claude 3 Sonnet on Bedrock:\nPython Typescript Boto3 (Python) from anthropic import AnthropicBedrock\n\nclient = AnthropicBedrock ( # Authenticate by either providing the keys below or use the default AWS credential providers, such as # using ~/.aws/credentials or the \"AWS_SECRET_ACCESS_KEY\" and \"AWS_ACCESS_KEY_ID\" environment variables. aws_access_key = \"<access key>\" , aws_secret_key = \"<secret key>\" ,
Remove hidden HTML/XML tags from tool descriptions. Descriptions must be plain text.
Tool descriptions containing hidden HTML or XML tags can inject invisible directives to manipulate LLM behavior.
"text": "Making requests\n\n\nThe following examples shows how to generate text from Claude 3 Sonnet on Bedrock:\nPython Typescript Boto3 (Python) from anthropic import AnthropicBedrock\n\nclient = AnthropicBedrock ( # Authenticate by either providing the keys below or use the default AWS credential providers, such as # using ~/.aws/credentials or the \"AWS_SECRET_ACCESS_KEY\" and \"AWS_ACCESS_KEY_ID\" environment variables. aws_access_key = \"<access key>\" , aws_secret_key = \"<secret key>\" ,
Remove hidden HTML/XML tags from tool descriptions. Descriptions must be plain text.
Tool descriptions containing hidden HTML or XML tags can inject invisible directives to manipulate LLM behavior.
"text": "Making requests\n\n\nThe following examples shows how to generate text from Claude 3 Sonnet on Bedrock:\nPython Typescript Boto3 (Python) from anthropic import AnthropicBedrock\n\nclient = AnthropicBedrock ( # Authenticate by either providing the keys below or use the default AWS credential providers, such as # using ~/.aws/credentials or the \"AWS_SECRET_ACCESS_KEY\" and \"AWS_ACCESS_KEY_ID\" environment variables. aws_access_key = \"<access key>\" , aws_secret_key = \"<secret key>\" ,
Remove hidden HTML/XML tags from tool descriptions. Descriptions must be plain text.
Tool names mimicking built-in system tools (e.g., 'bash', 'shell', 'terminal') can trick the LLM into routing actions to a malicious handler.
# Executes: SELECT * FROM users WHERE username = 'admin' OR '1'='1'
Rename the tool to avoid colliding with system commands (bash, shell, exec, etc.).
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
file://, gopher://, dict://, and other non-HTTP schemas can be exploited for SSRF.
"value": "file://eval_retrieval.py"
Only allow http:// and https:// URL schemas. Validate URL schemas before making requests.
Passing user-controlled variables directly to fetch, axios, or http.get without URL validation enables SSRF attacks.
asyncio.create_task(make_request(session, endpoint))
Validate and sanitize all URLs before making HTTP requests. Use an allowlist of permitted domains.
Requests targeting 127.0.0.1, localhost, or [::1] may access internal services not intended to be exposed.
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
Block requests to localhost and loopback addresses. Implement URL validation that rejects 127.x.x.x and ::1.
Passing user-controlled variables directly to fetch, axios, or http.get without URL validation enables SSRF attacks.
await handle_request(request)
Validate and sanitize all URLs before making HTTP requests. Use an allowlist of permitted domains.
Requests targeting 127.0.0.1, localhost, or [::1] may access internal services not intended to be exposed.
PROMETHEUS_URL = "http://localhost:9090"
Block requests to localhost and loopback addresses. Implement URL validation that rejects 127.x.x.x and ::1.
Requests targeting 127.0.0.1, localhost, or [::1] may access internal services not intended to be exposed.
"http://localhost.*",
Block requests to localhost and loopback addresses. Implement URL validation that rejects 127.x.x.x and ::1.
Requests targeting 127.0.0.1, localhost, or [::1] may access internal services not intended to be exposed.
"http://127.0.0.1.*"
Block requests to localhost and loopback addresses. Implement URL validation that rejects 127.x.x.x and ::1.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/metrics")Add rate limiting middleware to all public API endpoints.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/api/users")Add rate limiting middleware to all public API endpoints.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/api/orders")Add rate limiting middleware to all public API endpoints.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/api/stats")Add rate limiting middleware to all public API endpoints.
API endpoints without rate limiting are vulnerable to brute force and denial of service.
@app.get("/")Add rate limiting middleware to all public API endpoints.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
query = f"SELECT * FROM users WHERE username = '{username}'"Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
query = "SELECT * FROM users WHERE username = ?"
Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
query = f"SELECT * FROM users WHERE name LIKE '%{search_term}%' LIMIT {limit}"Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
query = f"SELECT * FROM users WHERE role = '{role}' ORDER BY {order_by}"Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.
Detected SELECT * or ORM queries without explicit field selection. Returning all columns risks exposing sensitive fields (passwords, tokens, internal IDs) to the client or LLM context.
# Executes: SELECT * FROM users WHERE username = 'admin' OR '1'='1'
Always specify the exact columns or fields to return. Use SELECT with explicit column names or ORM select/projection options.