Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach

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In Plain Terms

This paper bridges two separate cybersecurity resources: the CVE list of known software vulnerabilities and the MITRE ATT&CK framework of attacker tactics and defenses. The authors build a language model called CVET that automatically tags each vulnerability with one of ten ATT&CK tactics, using a self-distillation technique on top of RoBERTa. This lets security teams quickly attach likely mitigation context to the vulnerabilities they track.

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Citation

Benjamin M. Ampel, Sagar Samtani, Steven Ullman, & Hsinchun Chen (2021). Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach. AI4Cyber-KDD https://doi.org/10.48550/arXiv.2108.01696
Benjamin M. Ampel
Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, CyberAI Research and Education Center (CARE)

My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.

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