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P2 Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs

面向 C 程序的带指针监控的覆盖率引导灰盒模糊测试
ASE Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering2022匹配度 2/10 · 该论文研究C程序灰盒模糊测试与指针监控,属于动态程序分析与软件测试/内存安全方向;与用户画像中的静态分析、Agentic程序、LLM辅助形式化验证、浮点程序分析和贝叶斯程序分析等核心方向几乎没有交叉。引用 0 inbox
Haibo Chen, Jinfu Chen
crossref: 2026-09-12

AI 速览

一句话:通过追踪指针元数据并用作覆盖率引导,检测 C 程序中不崩溃的内存漏洞。

C 广泛用于系统软件,但其底层内存控制易引入内存漏洞。已有基于覆盖率引导的灰盒模糊测试(CGF)虽实用有效,却依赖捕获崩溃来判定漏洞,难以发现不导致崩溃的漏洞。本文提出在 C 程序模糊测试中监控指针元数据(状态、边界和指向对象),以识别更多类型的内存漏洞;同时利用 C 中指针与内存操作的紧密关系,设计两个标准,将指针元数据进一步作为 CGF 的引导信息,使模糊测试过程更有针对性地覆盖程序中易受攻击的部分。

问题
现有 CGF 仅根据捕获的崩溃判定漏洞,无法检测不引发崩溃的内存漏洞;需要更丰富的运行时指针信息来发现并引导测试。
方法
追踪指针元数据(状态、边界、指向对象),并设计两个以指针元数据指导 CGF 的准则,使模糊测试聚焦易受攻击的代码部分。
评估
摘要未报告具体实验设置与结果;因此无法从摘要得知其评估方式与定量效果。
原文摘要(Abstract)

C has been regarded as a dominant programming language for system software implementation. Meanwhile, it often suffers from various memory vulnerabilities due to its low-level memory control. Quite massive approaches are proposed to enhance memory security, among which Coverage-based Greybox Fuzzing (CGF) is very popular because of its practicality and satisfactory effectiveness. However, CGF identifies vulnerabilities based on the catched crashes, thus cannot detect vulnerabilities with non-crash. In this paper, we consider to trace pointer metadata (status, bounds and referents) to detect more various vulnerabilities. Additionally, since pointers in C are often directly related to memory operations, we design two standards to further use pointer metadata as the guidance of CGF, making fuzzing process target to the vulnerable part of programs.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot7187,
  title = {Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs},
  author = {Haibo Chen and Jinfu Chen},
  booktitle = {ASE},
  year = {2022},
  doi = {10.1145/3551349.3559566}
}