ALDExA: Automated LLM-Assisted Detection of CVE Exploitation Attempts in Host-Captured Data

ALDExA: Automated LLM-Assisted Detection of CVE Exploitation Attempts in Host-Captured Data

Currently, the detection of Common Vulnerabilities and Exposures (CVE) exploitation attempts heavily depends on rule sets manually written for the detection unit. As the number of published CVEs increases each year, there is a need to advance automation efforts for CVE detection. For this purpose, w...

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Bibliographic Details
Main Authors: Niclas Ilg, Maximilian Pfitzenmaier, Dominik Germek, Paul Duplys, Michael Menth
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Common vulnerabilities and exposures
CVE detection
exploit code analysis
intrusion detection
large language models
Online Access:https://ieeexplore.ieee.org/document/11018393/
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