cinnqi/VulKG
Vulnerability knowledge graph construction
This project helps security analysts and researchers deeply understand software vulnerabilities. It takes raw, unstructured text descriptions of CVEs (Common Vulnerabilities and Exposures) as input and extracts critical details like the cause, affected location, software version, attacker type, and consequences. The output is a clear, interactive knowledge graph that visualizes the relationships between these extracted elements, helping identify patterns and crucial information.
No commits in the last 6 months.
Use this if you need to systematically extract and visualize key information from vulnerability descriptions to perform in-depth security analysis or research.
Not ideal if you need a real-time vulnerability scanning tool or a system for managing incident response, as this focuses on knowledge extraction and visualization from existing descriptions.
Stars
30
Forks
2
Language
Python
License
—
Category
Last pushed
Dec 24, 2022
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/cinnqi/VulKG"
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