Hacking How We Learn: Speedrunning Bug Bounty Proficiency with AI

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You Should Know:

Ciarán Cotter, a full-time bug bounty hunter, is set to deliver a talk titled “Hacking How We Learn: Speedrunning Bug Bounty Proficiency with AI” at NahamCon on 22nd May (Virtual). This session will explore how AI can accelerate bug bounty hunting skills. Below are key concepts, tools, and commands to practice for those interested in AI-driven security research.

AI-Powered Bug Bounty Tools & Commands

1. Automated Recon with AI

  • Use `recon-ng` or `theHarvester` with AI-driven filtering: 
    theHarvester -d example.com -b google -l 500
  • Integrate AI scripts (Python + OpenAI API) to refine results: 
    import openai 
response = openai.ChatCompletion.create( 
model="gpt-4", 
messages=[{"role": "user", "content": "Filter subdomains with high exploit potential from this list: [sub.example.com]"}] 
)

2. AI-Assisted Vulnerability Scanning

  • Combine `nmap` with AI analysis: 
    nmap -sV --script=vulners example.com
  • Parse results using NLP models (e.g., spaCy) to prioritize CVEs.

3. Client-Side Hacking with DevTools (BSides Dublin Workshop)

  • Exploit DOM XSS using Chrome DevTools: 
    document.write('<img src=x onerror=alert(1)>');
  • Bypass CSP via eval(): 
    fetch('https://victim.com').then(r => r.text()).then(eval);

4. AI-Generated Payloads

  • Use `Burp Suite` with AI plugins to craft payloads: 
    python3 sqlmap.py -u "https://example.com?id=1" --risk=3 --level=5

What Undercode Say

AI is revolutionizing bug bounty hunting by automating reconnaissance, vulnerability prioritization, and even payload generation. Key takeaways:
– Linux: Leverage grep, awk, and `jq` to parse AI outputs. 

cat results.json | jq '.vulnerabilities[] | select(.severity == "HIGH")'

– Windows: Use `PowerShell` for AI-driven log analysis: 

Get-Content logs.txt | Where-Object { $_ -match "SQLi" }

– Ethical Note: Always obtain permission before testing AI tools on live systems.

Expected Output:

  • AI-refined subdomain lists.
  • Prioritized vulnerability reports.
  • Automated exploit PoCs.

Prediction:

AI will dominate bug bounty workflows by 2026, reducing manual effort by 70%.

URLs:

References:

Reported By: Ciar%C3%A1n Cotter – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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