
本项目通过大模型联动爬虫,检索Github上所有存有有价值漏洞信息与漏洞POC或规则信息的项目,并自动识别项目的目录结构、Readme信息后进行总结分析并分类,所汇总的项目可以帮助安全行业从业者收集漏洞信息、POC信息、规则等。
This project uses a large model combined with a crawler to retrieve all projects on GitHub that contain valuable vulnerability information, vulnerability POCs, or rule information. It automatically identifies the project's directory structure and Readme information, then summarizes, analyzes, and categorizes them. The aggregated projects can help security industry practitioners collect vulnerability information, POC information, rules, and more.
Detailed plans will be updated in aiflows, currently not yet complete
./build.sh -l for live preview. Python 3.5+ is recommended and dependencies should be installed using pip. To manually install Pelican, use pip install -r requirements.txt. It is recommended to create a virtual Python environment to avoid conflicts.includes/ajax-control.php to achieve remote code execution, with Python script and screenshot verification.