AI DirScan
Integrates traditional directory brute-forcing with large language models to automate directory scanning, intelligently analyze results, and identify potential vulnerabilities.
AI DirScan represents an innovative fusion of traditional security scanning and artificial intelligence, leveraging the MCP protocol to enhance directory enumeration. It combines the capabilities of tools like dirsearch with large language models (LLMs) to not only automate directory scanning and analyze HTTP status codes but also intelligently interpret the results for potential vulnerability correlation. Utilizing the FastMCP framework and SSE scheme for high concurrency and optimized timeout handling, it can identify issues such as server version leaks, framework disclosures, and absolute path leaks, ultimately producing detailed markdown vulnerability reports when integrated with Cline.
