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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
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
#!/usr/bin/env python3
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"""
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40.4.2 `log_auditor.py`
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Source: Chapter_40_Compliance_and_Standards
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Category: compliance
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"""
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import re
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import argparse
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import sys
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class LogComplianceAuditor:
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def __init__(self, log_data: list):
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self.logs = log_data
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# Regex patterns for required fields in a structured log (JSON)
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self.requirements = {
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"Timestamp": r'"timestamp":',
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"Model_ID": r'"model_id":',
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"Input_Hash": r'"input_hash":', # Checking for hash, not raw data (privacy)
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"Safety_Score": r'"safety_score":',
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"Latency": r'"latency_ms":'
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}
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def audit(self):
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print(f"[*] Auditing {len(self.logs)} log entries for EU AI Act Art. 12 Compliance...")
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for i, log_entry in enumerate(self.logs):
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missing = []
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for field, pattern in self.requirements.items():
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if not re.search(pattern, log_entry):
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missing.append(field)
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if missing:
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print(f"[FAIL] Line {i+1}: Missing fields {missing} -> NON-COMPLIANT")
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else:
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print(f"[PASS] Line {i+1}: Fully Compliant")
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# Usage
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logs = [
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'{"timestamp": "2024-01-01T12:00:00", "model_id": "gpt-4", "input_hash": "abc", "safety_score": 0.1, "latency_ms": 500}',
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'{"timestamp": "2024-01-01T12:01:00", "error": "timeout"}' # This will fail
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]
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auditor = LogComplianceAuditor(logs)
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auditor.audit()
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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() |