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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
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
#!/usr/bin/env python3
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"""
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How to Use This Code
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Source: Chapter_24_Social_Engineering_LLMs
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Category: social_engineering
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"""
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import argparse
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import sys
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# 1. Initialize generator
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generator = PhishingGenerator(api_key="sk-...")
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# 2. Define target
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target = {
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"name": "John Smith",
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"role": "IT Manager",
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"company": "Acme Corp",
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"industry": "Manufacturing",
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"recent_activity": "Announced cloud migration"
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}
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# 3. Generate phishing email
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email = generator.generate_phishing_email(
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target_info=target,
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attack_vector="credential", # credential, malware, wire_fraud
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trigger="urgency" # or authority, fear, etc.
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)
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# 4. Review generated content
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print(f"Subject: {email['subject']}")
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print(f"Body: {email['body']}")
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# 5. Scale to campaign (authorized testing only)
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targets = [target1, target2, target3, ...]
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campaign = generator.generate_spear_phishing_campaign(targets, "credential")
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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() |