DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

作者：Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David Wagner · 年份：2023 · DOI：10.1145/3607199.3607242 · 被引用次数：228 · 研究领域：Software Engineering Research、Advanced Malware Detection Techniques、Software Reliability and Analysis Research

We propose and release a new vulnerable source code dataset. We curate the dataset by crawling security issue websites, extracting vulnerability-fixing commits and source codes from the corresponding projects. Our new dataset contains 18,945 vulnerable functions spanning 150 CWEs and 330,492 non-vulnerable functions extracted from 7,514 commits. Our dataset covers 295 more projects than all previous datasets combined.