PEVuln: A Benchmark Dataset for Using Machine Learning to Detect Vulnerabilities in PE Malware
PEVuln: A Benchmark Dataset for Using Machine Learning to Detect Vulnerabilities in PE Malware
Nathan Ross,Oluwafemi Olukoya,Jesús Martínez del Rincón,Domhnall Carlin
2024 · DBLP: conf/camlis/RossORC24
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TLDR
This dataset addresses limitations in current malware datasets regarding exploitable malware by utilizing the malware vulnerability database Malvuln and software vulnerability database ExploitDB to create a new malware dataset with 684 vulnerable malware samples and 35,241 non-vulnerable malware samples.