swarm-x

Demo tool of Next-Gen Intelligence Swarm highly focused for Large Huge Infrastructure ,**That I am working on **

Insp ::: Ever Thought of swarm of AI-infused agents doing parallel recon, entropy-based leak detection, and parameter fuzzing — all while mapping app structure and identifying vuln-prone areas . Amazing Right??

About This Repository

This repository showcases a custom asynchronous reconnaissance and fuzzing scanner that I am designing to monitor and fuzz at scale, which learns, evolves, and adapts based on the real-time feedback it gets from the system. It’s like having a self-tuning weapon that gets smarter after every scan, AI-powered fuzzing evolve and morph, testing payloads dynamically based on the system’s responses. It doesn’t just scan; it learns from its results. This self-optimization means that as it scans more targets, it gets better at recognizing patterns, detecting vulnerabilities, and evading defensive measures

It incorporates features like:

• Entropy scoring
• Leak detection
• Form abuse detection
• Parameter mutation

Note: This repository is part of my learning journey. I’ve uploaded it to gather feedback and contributions from others working on similar prototypes. While it’s currently a work in progress, it’s designed with scalability and long-term infrastructure security in mind.

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Key Features

🕵️ RECON AGENTS

• Each agent() starts crawling from a given URL, up to a max depth.
• Extracts links, forms, JS references, etc.
• Avoids re-visiting URLs (keeps global set).

🧬 LEAK DETECTION:

• Regex hunt for API keys, JWTs, Bearer tokens, AWS creds.
• JSON structure traversal: finds embedded secrets like "apikey":, "token":, "password".

⚖️ ENTROPY SCORING:

• shannon_entropy() scores responses.
• High entropy changes from baseline? It flags the content as likely dynamic / interesting (e.g. secrets, encoded blobs, token dumps).

💉 PARAM & FORM FUZZING:

• GET param fuzzing (querystring injection).
• POST form fuzzing (input injection via HTML forms).
• Uses classic payloads (XSS, LFI, debug toggles, etc.).
• Tracks hits where content-length shift > threshold → indicates impact.

📊 HEATMAP VISUALIZATION:

• URLs are bucketed into segments (/admin/, /api/, etc.).
• Averages scores, builds bar chart heatmap (with matplotlib).
• Surfaces hot zones visually for triage.

📝 OUTPUT:

• Per-URL JSONs with score, fuzz hits, and leaks.
• CSV summary for automation/pipelining.
• Domain list aggregation.
• PNG heatmap for analyst overview.

Usage :

python3 swarm_wb.py http://testphp.vulnweb.com --agents 5 --depth 5

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Future Enhancements

This repository is a simplified version of the industrial-grade tool I’m building. It currently lacks advanced features like:

• Persistent memory core
• Deep entropy gradients
• Scoring engine
• Visual attack surface mapping
• Self-tuning heuristics

Contributions are welcome! Feel free to submit a pull request if you’d like to help enhance this project.

Contact

If you are a company or individual looking to secure your infrastructure with cutting-edge AI-powered reconnaissance and fuzzing tools, I’d love to collaborate. Swarm-X is designed for large-scale, long-term infrastructure security.

For inquiries, contracts, or partnerships, please contact me directly. Let’s work together to build a more secure future!