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HookFinder: Identifying and Understanding Malware Hooking Behaviors

11 years 11 months ago
HookFinder: Identifying and Understanding Malware Hooking Behaviors
Installing various hooks into the victim system is an important attacking strategy employed by malware, including spyware, rootkits, stealth backdoors, and others. In order to defeat existing hook detectors, malware writers keep exploring new hooking mechanisms. However, the current malware analysis procedure is painstaking, mostly manual and error-prone. In this paper, we propose the first systematic approach for automatically identifying hooks and extracting hooking mechanisms. We propose a unified approach, fine-grained impact analysis, to identify malware hooking behaviors. Our approach does not rely on any prior knowledge of hooking mechanisms, and thus can identify novel hooking mechanisms. Moreover, we devise a method using semantics-aware impact dependency analysis to provide a succinct and intuitive graph representation to illustrate hooking mechanisms. We have developed a prototype, HookFinder, and conducted extensive experiments using representative malware samples from ...
Heng Yin, Zhenkai Liang, Dawn Song
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where NDSS
Authors Heng Yin, Zhenkai Liang, Dawn Song
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