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Strands Agents tool for accessing hackerone

Project description

🐛 Strands HackerOne: When AI Meets Bug Bounty

Picture this: It's 3 AM. You're hunting bugs across 50 programs. Manually checking scope. Tracking reports. Missing critical disclosures. Your coffee's cold, and you're wondering—there has to be a better way.

There is. Welcome to Strands HackerOne—where AI agents hunt alongside you.

🎯 The Problem

Bug bounty hunting is overwhelming:

  • 📊 2,000+ programs to monitor
  • 🔥 Critical vulns disclosed while you sleep
  • 📋 Reports scattered across your dashboard
  • 💰 Earnings buried in payment histories

Traditional approach? Manual. Time-consuming. Exhausting.

⚡ The Solution

An AI-powered HackerOne tool that works while you code:

from strands import Agent
from strands_hackerone import hackerone

# Your AI bug bounty assistant
agent = Agent(tools=[hackerone])

# Natural language → API magic
agent("Find high-paying programs accepting XSS that launched this month")

That's it. Your AI handles the REST API complexity.

🚀 Installation: 30 Seconds

pip install strands-hackerone

export HACKERONE_USERNAME="your_username"
export HACKERONE_API_KEY="your_api_key"

Get credentials: HackerOne Settings → API Tokens

💡 Real-World Scenarios

Scenario 1: Morning Intelligence Brief

# What happened while you slept?
agent("Show me critical severity disclosures from the last 12 hours")

Result: Instant brief of overnight activity. No manual scrolling.

Scenario 2: Target Acquisition

# Find your next target
agent("List programs offering bounties with web apps in scope, sorted by fast payments")

Result: Curated program list matching your hunting style.

Scenario 3: Research Before Reporting

# Avoid duplicates
agent("Search hacktivity for similar XSS vulnerabilities in the GitHub program")

Result: Historical context preventing duplicate reports.

🛠️ Core Actions

Every action returns clean, formatted results:

Action Purpose Example
programs List all programs hackerone(action="programs", limit=50)
program_info Deep-dive into one hackerone(action="program_info", program_handle="security")
program_scope View in-scope assets hackerone(action="program_scope", program_handle="github")
hacktivity Public disclosures hackerone(action="hacktivity", query="severity:critical")
my_reports Your submissions hackerone(action="my_reports")
balance Current earnings hackerone(action="balance")
earnings Payment history hackerone(action="earnings", limit=100)

🎨 Advanced Queries

The hacktivity action supports Lucene queries:

# Critical vulns in a specific program
hackerone(action="hacktivity", query="program:security AND severity:critical")

# High-paying bounties (inspiration!)
hackerone(action="hacktivity", query="bounty:>5000")

# Recent XSS findings
hackerone(action="hacktivity", query="weakness:xss AND disclosed_at:>2024-01-01")

🤖 AI Agent Patterns

Pattern 1: The Researcher

researcher = Agent(
    tools=[hackerone],
    system_prompt="Research assistant specializing in vulnerability patterns"
)

researcher("""
Analyze the last 20 XSS disclosures. 
What patterns emerge? Which programs pay best?
""")

Pattern 2: The Monitor

monitor = Agent(
    tools=[hackerone],
    system_prompt="Alert on important HackerOne events"
)

# Run periodically (cron, scheduler, etc.)
monitor("Check for new critical disclosures or payment updates")

Pattern 3: The Strategist

strategist = Agent(
    tools=[hackerone],
    system_prompt="Bug bounty career advisor"
)

strategist("""
I specialize in web app security and have 6 months experience.
Which 5 programs should I focus on this quarter?
""")

🧪 Quick Test

git clone https://github.com/cagataycali/strands-hackerone.git
cd strands-hackerone
pip install -e .
python test_hackerone.py

Output shows all actions working:

✅ Hacktivity loaded
✅ Programs retrieved  
✅ Balance checked

📊 Example Output

Hacktivity Feed:

🔥 HackerOne Hacktivity (Page 1)

🎯 Stored XSS in Profile Editor
   Program: gitlab | Severity: high | Bounty: $3,500
   
🎯 SQL Injection in API Endpoint  
   Program: shopify | Severity: critical | Bounty: $10,000

Program Info:

🎯 Program: GitHub Security

💰 Bounties: Yes | ⚡ Fast Payments: Yes
📋 Policy: We appreciate security research...

✅ IN SCOPE:
- URL: github.com (Max: critical)
- API: api.github.com (Max: high)

🔧 Troubleshooting

401 Unauthorized?
→ Verify HACKERONE_USERNAME and HACKERONE_API_KEY

403 Forbidden?
→ You must be enrolled in the program to access details

Rate Limited?
→ Slow down requests. Cache results. Use pagination smartly.

🏗️ Build Your Own Actions

Fork and extend:

# In hackerone.py
elif action == "trending_programs":
    # Your custom logic
    programs = api.get("/programs", params={"trending": True})
    return {"status": "success", "content": [{"text": format_programs(programs)}]}

Submit PRs to add community features!

📚 Resources

🎯 The Vision

Imagine a world where:

  • ✅ Your AI scouts programs while you sleep
  • ✅ Disclosures trigger instant Slack notifications
  • ✅ Duplicate reports become impossible
  • ✅ Research happens at machine speed

That world exists now. This is just the beginning.

🤝 Contributing

Bug bounty hunters + AI developers = unstoppable

  1. Fork the repo
  2. Add features (git checkout -b feature/auto-recon)
  3. Test thoroughly
  4. Submit PR

Ideas:

  • Integration with recon tools (Nuclei, ffuf, etc.)
  • Auto-report drafting from findings
  • Real-time webhook listeners
  • Multi-platform aggregation (Bugcrowd, Intigriti, etc.)

⭐ Support the Hunt

  • Star if this saves you time
  • Issue if something breaks
  • PR if you make it better
  • Share with fellow hunters

📜 License

MIT - Hunt freely, build openly.


Built by bug bounty hunters, for bug bounty hunters.
@cagataycali | Powered by Strands Agents

Now stop reading and start hunting. 🐛🔍💰

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