Qixuan Guo (Beijing Jiaotong University), Yongzhong He (Beijing Jiaotong University)

When a vulnerability is detected in a specific software version, it is critical to trace the commit history to accurately identify the first commit where the vulnerability was introduced, known as Vulnerability-Introducing Commit(VIC).
This article proposes a method to accurately identify the VIC based on differential analysis of vulnerability patching patterns. Firstly, we compare the two files, before and after patching a vulnerability, to classify vulnerability-related statements in the patch into different patching patterns, such as coding errors, improper data flow, misplaced statements, and missing critical checks. Then, based on the patching patterns, we extract a vulnerability-critical statement sequence from the vulnerable file and match it with the earlier commits to determine the introducing commit. To evaluate the effectiveness of this method, we collected a dataset comprising 6,920 CVEs and 5,859,238 commits from open-source software, including the Linux kernel, MySQL, and OpenSSL, etc. The experimental results demonstrate that the proposed method achieves a detection accuracy of 94.94% and a recall rate of 86.92%, significantly outperforming existing approaches.

View More Papers

Convergent Privacy Framework for Multi-layer GNNs through Contractive Message...

Yu Zheng (University of California, Irvine), Chenang Li (University of California, Irvine), Zhou Li (University of California, Irvine), Qingsong Wang (University of California, San Diego)

Read More

UsersFirst in Practice: Evaluating a User-Centric Threat Modeling Taxonomy...

Alexandra Xinran Li (Carnegie Mellon University), Tian Wang (University of Illinois Urbana-Champaign), Yu-Ju Yang (University of Illinois Urbana-Champaign), Miguel Rivera-Lanas (Carnegie Mellon University), Debeshi Ghosh (Carnegie Mellon University), Hana Habib (Carnegie Mellon University), Lorrie Cranor (Carnegie Mellon University), Norman Sadeh (Carnegie Mellon University)

Read More

Towards automated threat modeling for space systems via SPARTA...

Joonhyuk Park, Jiwon Kwak, Geunwoo Baek, Dohee Kang, Seungjoo Kim (School of Cybersecurity, Korea University)

Read More