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Computer Science > Cryptography and Security

arXiv:2402.16497 (cs)
[Submitted on 26 Feb 2024]

Title:SAND: Decoupling Sanitization from Fuzzing for Low Overhead

Authors:Ziqiao Kong, Shaohua Li, Heqing Huang, Zhendong Su
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Abstract:Sanitizers provide robust test oracles for various software vulnerabilities. Fuzzing on sanitizer-enabled programs has been the best practice to find software bugs. Since sanitizers need to heavily instrument a target program to insert run-time checks, sanitizer-enabled programs have much higher overhead compared to normally built programs. In this paper, we present SAND, a new fuzzing framework that decouples sanitization from the fuzzing loop. SAND performs fuzzing on a normally built program and only invokes sanitizer-enabled programs when input is shown to be interesting. Since most of the generated inputs are not interesting, i.e., not bug-triggering, SAND allows most of the fuzzing time to be spent on the normally built program. To identify interesting inputs, we introduce execution pattern for a practical execution analysis on the normally built program. We realize SAND on top of AFL++ and evaluate it on 12 real-world programs. Our extensive evaluation highlights its effectiveness: on a period of 24 hours, compared to fuzzing on ASan/UBSan-enabled and MSan-enabled programs, SAND respectively achieves 2.6x and 15x throughput and detects 51% and 242% more bugs.
Subjects: Cryptography and Security (cs.CR); Software Engineering (cs.SE)
Cite as: arXiv:2402.16497 [cs.CR]
  (or arXiv:2402.16497v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2402.16497

Submission history

From: Ziqiao Kong [view email]
[v1] Mon, 26 Feb 2024 11:30:34 UTC (763 KB)
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