Generic O-LLVM Automatic Multi-architecture Deobfuscation Framework Based on Symbolic Execution

Yuhan Li, Bin Wen, Haixiao Zheng
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Abstract

Nowadays, the O-LLVM obfuscation framework makes it difficult to analyze various types of malware. To address this problem, this paper proposes a multi-architecture automated deobfuscation framework GOAMD specifically for O-LLVM obfuscation technology, which can intelligently identify the differences of programs on different architectures and perform targeted deobfuscation work on them. The experimental results show that the framework has high deobfuscation accuracy and portability.
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基于符号执行的通用O-LLVM自动多架构去混淆框架
目前,O-LLVM混淆框架使得分析各种类型的恶意软件变得困难。针对这一问题,本文提出了一种针对O-LLVM混淆技术的多架构自动去混淆框架GOAMD,该框架可以智能识别不同架构上的程序差异,并对其进行有针对性的去混淆工作。实验结果表明,该框架具有较高的去混淆精度和可移植性。
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