Detailed Introduction
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.
Key Features:
- Automated Crawling: Utilizes advanced crawling techniques to discover relevant GitHub repositories.
- Data Analysis: Employs large language models to analyze and summarize project data effectively.
- Categorization: Organizes findings into meaningful categories for easier access and understanding.
- Resource for Security Professionals: Provides a comprehensive database of vulnerabilities and POCs to assist in security research and development.
Benefits:
- Time-Saving: Automates the tedious process of searching and analyzing GitHub projects.
- Comprehensive Database: Offers a wide range of vulnerability information in one place.
- Supports Security Research: Facilitates better understanding and utilization of vulnerabilities for security professionals.
Highlights:
- Focus on valuable vulnerability information and POCs.
- Continuous updates and improvements based on user feedback and new findings.