Cybersecurity Defenses: Exploration of CVE Types through Attack Descriptions

OTHMAN, Refat T A, Bruno ROSSI a Barbara RUSSO. Cybersecurity Defenses: Exploration of CVE Types through Attack Descriptions. In 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA). IEEE, 2024.

Základní údaje

• Originální název: Cybersecurity Defenses: Exploration of CVE Types through Attack Descriptions
• Autoři: OTHMAN, Refat T A, Bruno ROSSI a Barbara RUSSO.
• Vydání: 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA), 2024.
• Nakladatel: IEEE

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Stať ve sborníku
• Obor: 10200 1.2 Computer and information sciences
• Utajení: není předmětem státního či obchodního tajemství
• Klíčová slova anglicky: MITRE; CAPEC; CVE; Transformer models; Pretrained language models
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

Vulnerabilities in software security can remain undiscovered even after being exploited. Linking attacks to vulnerabilities helps experts identify and respond promptly to the incident. This paper introduces VULDAT, a classification tool using a sentence transformer MPNET to identify system vulnerabilities from attack descriptions. Our model was applied to 100 attack techniques from the ATT&CK repository and 685 issues from the CVE repository. Then, we compare the performance of VULDAT against the other eight state-of-the-art classifiers based on sentence transformers. Our findings indicate that our model achieves the best performance with F1 score of 0.85, Precision of 0.86, and Recall of 0.83. Furthermore, we found 56% of CVE reports vulnerabilities associated with an attack were identified by VULDAT, and 61% of identified vulnerabilities were in the CVE repository.