Code obfuscation against symbolic execution attacks

Sebastian Banescu, C. Collberg, Vijay Ganesh, Zack Newsham, A. Pretschner
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引用次数: 128

Abstract

Code obfuscation is widely used by software developers to protect intellectual property, and malware writers to hamper program analysis. However, there seems to be little work on systematic evaluations of effectiveness of obfuscation techniques against automated program analysis. The result is that we have no methodical way of knowing what kinds of automated analyses an obfuscation method can withstand. This paper addresses the problem of characterizing the resilience of code obfuscation transformations against automated symbolic execution attacks, complementing existing works that measure the potency of obfuscation transformations against human-assisted attacks through user studies. We evaluated our approach over 5000 different C programs, which have each been obfuscated using existing implementations of obfuscation transformations. The results show that many existing obfuscation transformations, such as virtualization, stand little chance of withstanding symbolic-execution based deobfuscation. A crucial and perhaps surprising observation we make is that symbolic-execution based deobfuscators can easily deobfuscate transformations that preserve program semantics. On the other hand, we present new obfuscation transformations that change program behavior in subtle yet acceptable ways, and show that they can render symbolic-execution based deobfuscation analysis ineffective in practice.
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针对符号执行攻击的代码混淆
软件开发人员广泛使用代码混淆来保护知识产权,恶意软件编写人员则广泛使用代码混淆来阻碍程序分析。然而,似乎很少有系统地评估混淆技术对自动化程序分析的有效性的工作。结果是,我们没有系统的方法来知道混淆方法可以承受什么样的自动化分析。本文解决了描述代码混淆转换对抗自动符号执行攻击的弹性的问题,补充了通过用户研究来衡量混淆转换对抗人为辅助攻击的效力的现有工作。我们在5000个不同的C程序上评估了我们的方法,每个程序都使用现有的混淆转换实现进行了混淆。结果表明,许多现有的混淆转换,如虚拟化,几乎没有机会承受基于符号执行的去混淆。我们观察到的一个关键且可能令人惊讶的现象是,基于符号执行的去混淆器可以很容易地去混淆保留程序语义的转换。另一方面,我们提出了新的混淆转换,以微妙但可接受的方式改变程序行为,并表明它们可以使基于符号执行的去混淆分析在实践中无效。
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