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P2 Sand: Decoupling Sanitization from Fuzzing for Low Overhead

Sand:将净化器(Sanitization)与模糊测试解耦以实现低开销
ICSE 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)2025匹配度 2/10 · 该论文研究的是 fuzzing 与 sanitizer 的性能解耦,属于软件测试/漏洞发现领域,与用户画像中静态分析、LLM/Agent 改进程序分析、浮点程序分析或贝叶斯程序分析等核心方向均无直接关联。虽然同属程序语言/软件工程大领域,但未涉及 LLM、Agent、静态分析或形式化验证,因此匹配度较低。引用 3 inbox
Ziqiao Kong, Shaohua Li, Heqing Huang, Zhendong Su
crossref: 2026-09-12

AI 速览

一句话:SAND 将 sanitizer 检查移出 fuzzing 循环,仅对有趣输入运行 sanitizer 程序,降低开销且发现更多漏洞。

Sanitizer 为多种漏洞提供可靠的测试预言,但需要大量运行时插桩,导致启用 sanitizer 的程序开销远高于普通构建,而现有 fuzzing 通常在 sanitizer 程序上运行。SAND 将 sanitization 与 fuzzing 循环解耦:在普通构建程序上执行绝大多数模糊测试,只有当输入被判定为“有趣”时才调用 sanitizer 版本进行验证。为实际识别有趣输入,论文提出 execution pattern。作者在 AFL++ 上实现 SAND,并在 20 个真实程序上评估。24 小时实验表明,与所有基线 fuzzer 相比,SAND 显著发现更多 bug,同时没有漏掉任何基线发现的 bug。

问题
Sanitizer 插桩导致 fuzzing 开销过高,如何在保持漏洞检测能力的同时降低 fuzzing 成本?
方法
SAND 在普通构建程序上 fuzzing,并用 execution pattern 筛选有趣输入,仅对这些输入运行 sanitizer 版本。
评估
在 AFL++ 上实现,针对 20 个真实程序与多种基线 fuzzer 进行 24 小时对比,统计 bug 发现与遗漏情况。
原文摘要(Abstract)

Sanitizers provide robust test oracles for various vulnerabilities. Fuzzing on sanitizer-enabled programs has been the best practice to find software bugs. Since sanitizers require heavy program instrumentation to insert run-time checks, sanitizerenabled 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 the sanitizerenabled program when input is shown to be interesting. Since most of the generated inputs are not interesting, i.e., not bugtriggering, SAND allows most of the fuzzing time to be spent on the normally built program. We further introduce execution pattern to practically and effectively identify interesting inputs. We implement SAND on top of AFL++ and evaluate it on 20 real-world programs. Our extensive evaluation highlights its effectiveness: in 24 hours, compared to all the baseline fuzzers, SAND significantly discovers more bugs while not missing any.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot8810,
  title = {Sand: Decoupling Sanitization from Fuzzing for Low Overhead},
  author = {Ziqiao Kong and Shaohua Li and Heqing Huang and Zhendong Su},
  booktitle = {ICSE},
  year = {2025},
  doi = {10.1109/icse55347.2025.00187}
}