mirror of
https://github.com/Shiva108/ai-llm-red-team-handbook.git
synced 2026-05-14 20:58:09 +02:00
b3d3bac51f
- Extracted all code examples from handbook chapters - Organized into 15 attack categories - Created shared utilities (api_client, validators, logging, constants) - Added workflow orchestration scripts - Implemented install.sh for easy setup - Renamed all scripts to descriptive functional names - Added comprehensive README and documentation - Included pytest test suite and configuration
47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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Evaluating Transitive Dependencies
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Source: Chapter_13_Data_Provenance_and_Supply_Chain_Security
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Category: supply_chain
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"""
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import pkg_resources
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import argparse
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import sys
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def analyze_transitive_deps(package_name):
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"""Map all dependencies of a package"""
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package = pkg_resources.get_distribution(package_name)
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deps = package.requires()
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print(f"\nDirect dependencies of {package_name}:")
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for dep in deps:
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print(f" - {dep}")
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# Recursively check transitive deps
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try:
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sub_package = pkg_resources.get_distribution(dep.project_name)
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sub_deps = sub_package.requires()
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if sub_deps:
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print(f" └─ Transitive: {[str(d) for d in sub_deps]}")
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except:
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pass
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# Example
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analyze_transitive_deps('transformers')
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def main():
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"""Command-line interface."""
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
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args = parser.parse_args()
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# TODO: Add main execution logic
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pass
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if __name__ == "__main__":
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main() |