xu-xiang/awesome-security-vul-llm

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。

42
/ 100
Emerging

This project helps security professionals efficiently find valuable vulnerability information, Proof-of-Concepts (POCs), and security rules. It automatically searches GitHub for relevant projects, then uses a Large Language Model (LLM) to analyze, summarize, and categorize their directory structures and READMEs. The output is a curated collection of security-related projects, making it easier to gather essential security intelligence.

152 stars. No commits in the last 6 months.

Use this if you are a cybersecurity analyst, penetration tester, or security researcher who needs to quickly discover and understand new vulnerabilities and exploits from open-source projects.

Not ideal if you are looking for a real-time vulnerability scanner or a tool to directly test system vulnerabilities.

cybersecurity vulnerability-research threat-intelligence penetration-testing security-operations
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

152

Forks

21

Language

License

MIT

Last pushed

Jan 05, 2024

Commits (30d)

0

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