Agentic Bug Hunter

Abstract

1. Introduction

Agentic Bug Hunter finds real, reportable bugs, not theoretical ones. Point it at a target and it runs recon, tests for vulnerabilities, validates findings against a strict gate, and writes a submission-ready report for HackerOne, Bugcrowd, Intigriti, or Immunefi.

One gateway to the world's leading AI models AI model access & operations · partner for BugHunter standalone mode

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2. Objective

AI-powered bug bounty hunting toolkit that works with or without subscription.

This project demonstrates how Python can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter

# 1. Install Ollama (runs AI locally, no internet needed after download)
curl -fsSL https://ollama.ai/install.sh | sh
ollama pull qwen2.5:14b          # ~9 GB, one-time download

# 2. Install BugHunter
git clone https://github.com/Awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter
./install.sh --agent standalone   # creates system-wide 'bughunter' command

# 3. Hunt
bughunter setup       # choose Ollama, then choose one of its installed models
bughunter recon target.com

export GROQ_API_KEY="your-key-here"     # free at console.groq.com
./install.sh --agent standalone
bughunter setup       # choose Groq
bughunter hunt target.com

# 1. Register (AwareXone partner link) and create an API key
#    https://fluxionai.world/register?source=github&campaign=github-awarexone&promo=AWAREXONE
#    Docs: https://docs.fluxionai.world/user-guide/help-center
#    Models: https://fluxionai.world/model-plaza

export FLUXION_API_KEY="your-key-here"
./install.sh --agent standalone
bughunter setup --provider fluxion --model openai/gpt-4o
bughunter hunt target.com

# Or one-off:
bughunter --provider fluxion --model openai/gpt-4o hunt target.com

pip install agentic-bug-hunter
bughunter setup                   # pick a free AI provider
bughunter recon target.com
bughunter hunt  target.com

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by awarexone and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.