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A project that uses large models to crawl and analyze GitHub projects containing valuable vulnerability information.
The Awesome Security Vulnerability Project (By LLM) is designed to leverage large language models in conjunction with web crawlers to systematically search GitHub for projects that contain valuable vulnerability information, proof of concepts (POCs), or rules. This project automatically identifies the directory structure and README information of these projects, summarizing, analyzing, and categorizing the collected data. The aggregated projects serve as a vital resource for professionals in the security industry, aiding them in gathering vulnerability information, POC data, and relevant rules.