🤖 AI-BugHunter — AI-Powered Vulnerability Discovery

Your AI co-pilot for bug bounty hunting. Automates recon interpretation, generates intelligent payloads, and helps analyze targets faster.

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💡 What is AI-BugHunter?

AI-BugHunter is an intelligent assistant that helps bug bounty hunters:

• 🔍 Analyze recon data — feed it subdomains, URLs, JS files → get prioritized attack surface
• 🎯 Generate payloads — AI-powered payload generation for XSS, SQLi, SSRF, SSTI
• 📊 Pattern recognition — identifies vulnerability patterns across your target
• 📝 Write reports — generates professional vulnerability reports
• 🧠 Smart recommendations — "based on this tech stack, test these vulnerabilities"

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🚀 Quick Start

git clone https://github.com/javokhir-sec/AI-BugHunter.git
cd AI-BugHunter
pip install -r requirements.txt

Usage

# Analyze a target
python aibughunter.py --target example.com --recon-dir ./recon-output/

# Generate payloads for specific vuln type
python aibughunter.py --gen-payload xss --context "search parameter, filtered <script>"

# Analyze JS files for secrets
python aibughunter.py --analyze-js ./js-files/

# Generate vulnerability report
python aibughunter.py --report --finding sqli --target example.com --evidence ./sqli-poc.txt

# Full automated scan with AI guidance
python aibughunter.py --target example.com --mode full

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🎯 Features

1. Smart Recon Analysis

Feeds: subdomains, alive hosts, URLs, JS files, technologies Output: prioritized attack surface, "low-hanging fruit" alerts

python aibughunter.py --target example.com --recon-dir ./recon/

2. Intelligent Payload Generation

Context-aware payloads that bypass filters:

# XSS payloads when <script> is blocked
python aibughunter.py --gen-payload xss --waf cloudflare --context "search box"

# SQLi payloads for MySQL
python aibughunter.py --gen-payload sqli --db mysql --context "login form, POST"

# SSTI payloads for Jinja2
python aibughunter.py --gen-payload ssti --engine jinja2

3. Vulnerability Pattern Detection

Automatically identifies patterns that indicate vulnerabilities:

• Unsanitized user input in HTML responses → potential XSS
• SQL errors in responses → SQLi confirmed
• Internal IPs in responses → potential SSRF
• Debug endpoints exposed → info disclosure

4. Report Generator

Takes your finding details and generates a professional report:

python aibughunter.py --report \
  --finding "SQL Injection in login form" \
  --target "https://target.com/login" \
  --severity critical \
  --cvss 9.8 \
  --steps poc.txt \
  --impact "Full database access"

5. Technology-Specific Recommendations

Detects the tech stack and suggests what to test:

Technology Stack Detected:
  - PHP 7.4
  - MySQL 5.7
  - Apache 2.4
  - jQuery 3.5

AI Recommendations:
  1. Test PHP deserialization (PHP < 8.0)
  2. Test SQLi with MySQL-specific payloads
  3. Test for Apache path traversal
  4. jQuery 3.5 has known XSS vectors in .html()

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📋 Supported Vulnerability Types

Category	Vulnerabilities
💉 Injection	SQLi, NoSQLi, Command Injection, LDAP, XPath
🎯 XSS	Reflected, Stored, DOM, Blind, CSP Bypass
📡 Server-Side	SSRF, SSTI, XXE, Deserialization
🔐 Auth	JWT Attacks, OAuth Flaws, Session Fixation
📂 Files	Path Traversal, LFI/RFI, File Upload RCE
🛡️ Access Control	IDOR, BAC, Privilege Escalation

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🛠️ Requirements

openai>=1.0.0
anthropic>=0.30.0
requests>=2.28.0
colorama>=0.4.6
rich>=13.0.0
beautifulsoup4>=4.12.0
lxml>=4.9.0

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⚙️ Configuration

# Set your API key (supports OpenAI, Anthropic Claude, or local LLM)
export AI_API_KEY="sk-xxxxx"
export AI_PROVIDER="openai"  # or "anthropic", "ollama", "local"

# Optional: Configure model
export AI_MODEL="gpt-4o"  # or "claude-opus-4-8", "llama3"

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📊 Example Output

🤖 AI-BugHunter v1.0 — Analyzing target: example.com
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📡 Loading recon data...
   ├─ Subdomains: 47
   ├─ Live hosts: 23
   ├─ URLs: 1,847
   ├─ JS files: 89
   └─ Technologies: PHP 7.4, MySQL, Apache, jQuery 3.5

🔍 AI Analysis:
   ⚠️  HIGH: jQuery 3.5 detected — vulnerable to prototype pollution
   ⚠️  MEDIUM: PHP 7.4 — check for deserialization issues
   ℹ️  INFO: 89 JS files — recommend secrets scanning

🎯 Prioritized Attack Surface:
   1. https://admin.example.com/login — auth bypass potential
   2. https://api.example.com/v1/users — IDOR check
   3. https://example.com/search?q= — reflected XSS test

💡 AI Recommendation:
   "Start with admin.example.com. The login form uses PHP+MySQL —
   test for SQLi auth bypass first (CWE-89), then check for JWT
   weaknesses in the API. The search endpoint on the main domain
   reflects user input — test for XSS with event handlers since
   jQuery 3.5 is in use."

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Analysis complete. Time: 12.3s

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🔮 Roadmap

• Browser automation integration (Playwright)
• Real-time WAF detection & bypass generation
• Nuclei template auto-generation
• Multi-target campaign mode
• Slack/Discord notifications
• Web UI dashboard
• Custom training on your own findings

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🤝 Contributing

PRs welcome! Especially:

• New vulnerability detection patterns
• Payload templates
• Integration with other tools
• Language/translation support

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⚠️ Disclaimer

This tool is for authorized security testing only. Always get permission before testing any target.

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📜 License

MIT © Javokhir Tursunboyev

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