Digtool: A Virtualization-Based Framework for Detecting Kernel Vulnerabilities


Jianfeng Pan, Guanglu Yan, and Xiaocao Fan, IceSword Lab, 360 Internet Security Center


Discovering vulnerabilities in operating system (OS) kernels and patching them is crucial for OS security. However, there is a lack of effective kernel vulnerability detection tools, especially for closed-source OSes such as Microsoft Windows. In this paper, we present Digtool, an effective, binary-code-only, kernel vulnerability detection framework. Built atop a virtualization monitor we designed, Digtool successfully captures various dynamic behaviors of kernel execution, such as kernel object allocation, kernel memory access, thread scheduling, and function invoking. With these behaviors, Digtool has identified 45 zero-day vulnerabilities such as out-of-bounds access, use-after-free, and time-of-check-to-time- of-use among both kernel code and device drivers of recent versions of MicrosoftWindows, includingWindows 7 and Windows 10.

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@inproceedings {203830,
author = {Jianfeng Pan and Guanglu Yan and Xiaocao Fan},
title = {Digtool: A {Virtualization-Based} Framework for Detecting Kernel Vulnerabilities},
booktitle = {26th USENIX Security Symposium (USENIX Security 17)},
year = {2017},
isbn = {978-1-931971-40-9},
address = {Vancouver, BC},
pages = {149--165},
url = {https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/pan},
publisher = {USENIX Association},
month = aug

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