MOVERY: A Precise Approach for Modified Vulnerable Code Clone Discovery from Modified Open-Source Software Components
Seunghoon Woo, Hyunji Hong, Eunjin Choi, Heejo Lee
摘要
Vulnerabilities inherited from third-party open-source software (OSS) components can compromise the entire software security. However, discovering propagated vulnerable code is challenging as it proliferates with various code syntaxes owing to the OSS modifications, more specifically, internal (e.g., OSS updates) and external modifications of OSS (e.g., code changes that occur during the OSS reuse). In this paper, we present MOVERY, a precise approach for discovering vulnerable code clones (VCCs) from modified OSS components. By considering the oldest vulnerable function and extracting only core vulnerable and patch lines from security patches, MOVERY generates vulnerability and patch signatures that effectively address OSS modifications. For scalability, MOVERY reduces the search space of the target software by focusing only on the codes borrowed from other OSS projects. Finally, MOVERY determines that the function is VCC when it matches the vulnerability signature and is distinctive from the patch signature. When we applied MOVERY on ten popular software selected from diverse domains, we observed that 91% of the discovered VCCs had different code syntax from the disclosed vulnerable function. Nonetheless, MOVERY discovered VCCs at least 2.5 times more than those discovered in existing techniques, with much higher accuracy: MOVERY discovered 415 VCCs with 96% precision and 96% recall, whereas two recent VCC discovery techniques, which hardly consider internal and external OSS modifications, discovered only 163 and 72 VCCs with at most 77% precision and 38% recall.
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它引用的顶会 Paper11
- VUDDY: A Scalable Approach for Vulnerable Code Clone DiscoverySeulbae Kim, Seunghoon Woo, Heejo Lee, Hakjoo OhS&P 2017 · 被引用 388 次
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- Towards the Detection of Inconsistencies in Public Security Vulnerability ReportsYing Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing 等USENIX Security 2019 · 被引用 149 次
- Understanding the Reproducibility of Crowd-reported Security VulnerabilitiesDongliang Mu, Alejandro Cuevas, Limin Yang, Hang Hu 等USENIX Security 2018 · 被引用 138 次
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