UBfuzz: Finding Bugs in Sanitizer Implementations
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929204437712896 |
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| author | Li, Shaohua Su, Zhendong |
| author_facet | Li, Shaohua Su, Zhendong |
| contents | In this paper, we propose a testing framework for validating sanitizer implementations in compilers. Our core components are (1) a program generator specifically designed for producing programs containing undefined behavior (UB), and (2) a novel test oracle for sanitizer testing. The program generator employs Shadow Statement Insertion, a general and effective approach for introducing UB into a valid seed program. The generated UB programs are subsequently utilized for differential testing of multiple sanitizer implementations. Nevertheless, discrepant sanitizer reports may stem from either compiler optimization or sanitizer bugs. To accurately determine if a discrepancy is caused by sanitizer bugs, we introduce a new test oracle called crash-site mapping. We have incorporated our techniques into UBfuzz, a practical tool for testing sanitizers. Over a five-month testing period, UBfuzz successfully found 31 bugs in both GCC and LLVM sanitizers. These bugs reveal the serious false negative problems in sanitizers, where certain UBs in programs went unreported. This research paves the way for further investigation in this crucial area of study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_04538 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | UBfuzz: Finding Bugs in Sanitizer Implementations Li, Shaohua Su, Zhendong Cryptography and Security Programming Languages Software Engineering In this paper, we propose a testing framework for validating sanitizer implementations in compilers. Our core components are (1) a program generator specifically designed for producing programs containing undefined behavior (UB), and (2) a novel test oracle for sanitizer testing. The program generator employs Shadow Statement Insertion, a general and effective approach for introducing UB into a valid seed program. The generated UB programs are subsequently utilized for differential testing of multiple sanitizer implementations. Nevertheless, discrepant sanitizer reports may stem from either compiler optimization or sanitizer bugs. To accurately determine if a discrepancy is caused by sanitizer bugs, we introduce a new test oracle called crash-site mapping. We have incorporated our techniques into UBfuzz, a practical tool for testing sanitizers. Over a five-month testing period, UBfuzz successfully found 31 bugs in both GCC and LLVM sanitizers. These bugs reveal the serious false negative problems in sanitizers, where certain UBs in programs went unreported. This research paves the way for further investigation in this crucial area of study. |
| title | UBfuzz: Finding Bugs in Sanitizer Implementations |
| topic | Cryptography and Security Programming Languages Software Engineering |
| url | https://arxiv.org/abs/2401.04538 |