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AI DirScan

35

Integrates traditional directory brute-forcing with large language models to automate directory scanning, intelligently analyze results, and identify potential vulnerabilities.

关于

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.

主要功能

  • Automated directory scanning with intelligent status code analysis.
  • Intelligent result parsing and vulnerability correlation using LLMs.
  • Compatibility with mainstream large language models (requires API configuration).
  • High-concurrency processing enabled by the FastMCP framework.
  • Integration with Cline for full workflow automation and markdown report generation.
  • 35 GitHub stars

使用案例

  • Generating structured, AI-analyzed vulnerability reports for web applications.
  • Performing automated web directory reconnaissance and vulnerability discovery.
  • Identifying server, framework, or absolute path disclosure vulnerabilities.
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