About SEPSES-KG
A comprehensive Knowledge Graph for Cyber Security (KGCS) designed to unify fragmented threat intelligence into a single, queryable, and interconnected semantic web.
Project Mission
Modern cybersecurity generates massive amounts of disjointed data. SEPSES-KG addresses this by mapping vulnerabilities, attack patterns, weaknesses, and advisories into a unified Resource Description Framework (RDF) model.
By leveraging a high-performance SPARQL engine (QLever), this platform enables security analysts and researchers to perform complex, multi-hop queries—such as tracing a specific CVE to its underlying CWE, associated CAPEC attack patterns, and relevant MITRE ATT&CK techniques—in milliseconds.
Integrated Knowledge Sources
Common Vulnerabilities and Exposures
Common Platform Enumeration
Common Attack Pattern Enumeration
Common Weakness Enumeration
ICS-CERT Security Advisories
Adversary Tactics and Techniques
Technology Stack
- Frontend: Next.js 15 (App Router), React 19, Tailwind CSS
- Backend / Query Engine: QLever (High-performance SPARQL)
- Data Modeling: W3C RDF, Dublin Core Terms, Custom Ontologies
- Deployment: Docker, Nginx Reverse Proxy
Ready to explore the graph? Use our interactive query editor or browse the dashboard.