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引用次数: 127

摘要

当发现新的恶意软件时,重要的是研究人员要尽快分析和理解它们。近年来,这项任务变得更加困难,因为研究人员发现越来越多地使用虚拟化混淆的恶意软件代码。这些程序很难理解和逆向工程,因为它们对静态和动态分析技术都有抵抗力。当前处理此类代码的方法首先对字节码解释器进行逆向工程,然后使用它来计算字节码程序的逻辑。当解释器的结构已知时,这种由外而内的方法产生良好的结果,但不能适用于所有情况。本文提出了一种不同的方法来解决这个问题,该方法侧重于识别影响混淆代码的可观察行为的指令。这种由内而外的方法需要更少的假设,并且旨在通过扩大适合自动化分析的模糊程序的领域来补充现有的技术。来自真实世界恶意代码原型工具的结果令人鼓舞。
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Deobfuscation of virtualization-obfuscated software: a semantics-based approach
When new malware are discovered, it is important for researchers to analyze and understand them as quickly as possible. This task has been made more difficult in recent years as researchers have seen an increasing use of virtualization-obfuscated malware code. These programs are difficult to comprehend and reverse engineer, since they are resistant to both static and dynamic analysis techniques. Current approaches to dealing with such code first reverse-engineer the byte code interpreter, then use this to work out the logic of the byte code program. This outside-in approach produces good results when the structure of the interpreter is known, but cannot be applied to all cases. This paper proposes a different approach to the problem that focuses on identifying instructions that affect the observable behavior of the obfuscated code. This inside-out approach requires fewer assumptions, and aims to complement existing techniques by broadening the domain of obfuscated programs eligible for automated analysis. Results from a prototype tool on real-world malicious code are encouraging.
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