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一个针对Windows应用程序的定向灰框模糊器
Xin Ren1, Peng-Fei Wang2, Xu Zhou1
1College of Computer Science and Technology, National University of Defense Technology, Changsha, People's Republic of China.
Scientific reports
|July 7, 2025
概括
WinDGF是Windows的一个新的定向灰框模糊化 (DGF) 工具,改进了漏洞发现. 与WinAFL和Winnie等现有工具相比,它增强了测试案例探索和崩检测.
科学领域:
- 计算机安全 计算机安全
- 软件工程 软件工程 软件工程
- 发现漏洞 发现漏洞
背景情况:
- 定向灰框模糊 (DGF) 对于发现漏洞是有效的,但主要是在Linux上.
- 由于闭源性质和GUI软件,Windows平台的模糊面临着挑战.
- 现有的工具缺乏针对Windows特定复杂性的专业方法.
研究的目的:
- 介绍WinDGF,这是一个用于Windows应用程序的新型定向灰盒混器.
- 在Windows fuzzing中解决关键挑战:目标函数本地化,GUI绕过和健身指标.
- 为优化测试策略提供灵活的模糊模式.
主要方法:
- 开发了WinDGF,有两个不同的模式:WinDGF_path和WinDGF_keyblock.
- WinDGF_path指南通过路径距离缩短以进行深入的程序探索.
- WinDGF_keyblock最大化了关键块覆盖范围,用于集中测试关键组件.
主要成果:
- 在Windows上,WinDGF显著增强了测试案例探索和漏洞检测.
- 与WinAFL相比,WinDGF_path和WinDGF_keyblock的独特崩发现率分别增加了31.72%和79.48%.
- 胜利DGF显示了对Winnie的进一步改进,并成功地重现了已知的11个崩点.
结论:
- WinDGF 提供了一个强大的和有效的解决方案,用于在 Windows 上指导灰盒 fuzzing.
- 该工具的双模式允许适应性和高效的漏洞发现.
- 在识别和复制Windows应用程序中的漏洞方面,WinDGF表现出卓越的性能.
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