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AI Research
arXiv CS.AI·Jul 1·5 min read
CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors
TL;DR
Software vulnerabilities often lack clear connections to specific attack behaviors, making it difficult to assess risks. The CVE-TTP KG (Common Vulnerabilities and Exposures - Tactics, Techniques, and Procedures Knowledge Graph) was developed to link these vulnerabilities to their corresponding attack behaviors.
✦ Why It Matters
Engineers can use the CVE-TTP KG to prioritize vulnerability management based on real-world attack behaviors.
Key Takeaways
- Utilize the CVE-TTP Knowledge Graph for better threat analysis.
- Implement CySecBERT for improved behavior identification.
- Leverage the annotated dataset for training models.
- Visualize vulnerabilities using Neo4j for enhanced insights.
How It Works
The CVE-TTP Knowledge Graph connects software vulnerabilities to attacker behaviors by extracting relationships between CVEs and tactics from the MITRE ATT&CK framework. Transformer-based models, particularly CySecBERT, are employed for behavior identification, achieving high accuracy in classifying tactics and techniques.
The knowledge graph is built using a pipeline-based approach that integrates entity and relation extraction, allowing for structured visualization of the data.