Hunter's SHADOW

System for Heuristic Analysis, Discovery, and Offensive Work

⚠️ Disclaimer: This tool is intended for authorized security testing and educational purposes only. The creators assume no liability for misuse.

Project Scope

Hunter's SHADOW is an AI-powered autonomous agent designed to act as a force multiplier for bug bounty hunters and penetration testers. Instead of manually running disjointed tools, SHADOW acts as an intelligent orchestrator that:

1. Observes: Scans targets using industry-standard tools (nmap, nuclei, etc.).
2. Orients: Uses Google's Gemini 2.5 Flash model to analyze output and identify interesting vectors.
3. Decides: Formulates a custom strategy based on the specific target surface (e.g., "This looks like an API, I should switch to fuzzing endpoints").
4. Acts: Executes the next logical tool with precise parameters.

Current Capabilities

• Automated Recon: Full port scans, service detection, and directory enumeration.
• Web Vulnerability Scanning: Integration with nuclei for template-based checking.
• Strategic Reasoning: Two-stage AI logic (Strategy Generation -> Tactical Execution).
• Reporting: Automatic generation of timeline-based Markdown reports.
• Dockerized: Zero-dependency installation via Docker.

Future Plans

• Deep Exploitation: Integration with sqlmap and metasploit (RPC) for safe exploitation verification.
• Persistence: Database storage to pause/resume long-running campaigns.
• Interactive Mode: A chat interface to collaborate with the AI during a scan.
• Model Context Protocol (MCP): Implementation of standard protocols to connect with other AI agents and knowledge bases.
• Multi-Agent Swarm: Separating duties into specialized agents (e.g., a "Recon Agent" feeding a "Vulnerability Analyst").

Getting Started

See SHADOW.md for detailed installation and usage instructions.