Agentic Bug Hunter is an AI-powered bug bounty reconnaissance and vulnerability discovery toolkit that operates through a terminal interface.
The tool automates the reconnaissance-to-report workflow for bug bounty hunting by leveraging AI agents to identify vulnerabilities and security issues. It works by integrating with AI models to analyze targets, perform reconnaissance, and discover potential vulnerabilities without requiring users to manually chain together multiple security tools. The toolkit supports both standalone operation without subscription requirements and subscription-based modes, making it accessible to security researchers with varying resource levels.
Security researchers and bug bounty hunters should consider this tool if they want to streamline their reconnaissance and vulnerability discovery process through AI assistance. It suits projects where teams need to move quickly from initial reconnaissance through to vulnerability reporting, particularly for those already comfortable working in terminal environments. The tool is designed to work with platforms like HackerOne and Bugcrowd, making it relevant for coordinated vulnerability disclosure workflows.
The project maintains active test coverage through automated testing workflows. Development activity shows ongoing refinement of the toolkit's capabilities and integration points with bug bounty platforms.
