VulCurator: A Vulnerability-Fixing Commit Detector

• URL: http://arxiv.org/abs/2209.03260v1
• Date: Wed, 7 Sep 2022 16:11:31 GMT
• Title: VulCurator: A Vulnerability-Fixing Commit Detector
• Authors: Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach D. Le, David Lo
• Abstract summary: VulCurator is a tool that leverages deep learning on richer sources of information. VulCurator outperforms the state-of-the-art baselines up to 16.1% in terms of F1-score.
• Score: 8.32137934421055
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Open-source software (OSS) vulnerability management process is important nowadays, as the number of discovered OSS vulnerabilities is increasing over time. Monitoring vulnerability-fixing commits is a part of the standard process to prevent vulnerability exploitation. Manually detecting vulnerability-fixing commits is, however, time consuming due to the possibly large number of commits to review. Recently, many techniques have been proposed to automatically detect vulnerability-fixing commits using machine learning. These solutions either: (1) did not use deep learning, or (2) use deep learning on only limited sources of information. This paper proposes VulCurator, a tool that leverages deep learning on richer sources of information, including commit messages, code changes and issue reports for vulnerability-fixing commit classifica- tion. Our experimental results show that VulCurator outperforms the state-of-the-art baselines up to 16.1% in terms of F1-score. VulCurator tool is publicly available at https://github.com/ntgiang71096/VFDetector and https://zenodo.org/record/7034132#.Yw3MN-xBzDI, with a demo video at https://youtu.be/uMlFmWSJYOE.

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