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

KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and...

Yuhan Meng (Key Laboratory of High-Confidence Software Technologies (MOE), School of Computer Science, Peking University), Shaofei Li (Key Laboratory of High-Confidence Software Technologies (MOE), School of Computer Science, Peking University), Jiaping Gui (School of Computer Science, Shanghai Jiao Tong University), Peng Jiang (Southeast University), Ding Li (Key Laboratory of High-Confidence Software Technologies (MOE), School of…

Read More

Breaking 5G on The Lower Layer

Subangkar Karmaker Shanto (Purdue University), Imtiaz Karim (The University of Texas at Dallas), Elisa Bertino (Purdue University)

Read More

ProtocolGuard: Detecting Protocol Non-compliance Bugs via LLM-guided Static Analysis...

Xiangpu Song (School of Cyber Science and Technology, Shandong University), Longjia Pei (School of Cyber Science and Technology, Shandong University), Jianliang Wu (Simon Fraser University), Yingpei Zeng (Hangzhou Dianzi University), Gaoshuo He (School of Cyber Science and Technology, Shandong University), Chaoshun Zuo (Independent Researcher), Xiaofeng Liu (School of Cyber Science and Technology, Shandong University), Qingchuan…

Read More