Compiling and Analyzing Open Source Malware for Research Purposes

Daniel Judt, Patrick Kochberger, Peter Kieseberg, S. Schrittwieser
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Abstract

Malware obfuscation can make both automatic and manual analysis of its binary code and the contained functionality significantly more time consuming. For malware research it would therefore be useful to be able to study the effects of different obfuscation methods on the resulting binary code. While some obfuscations are applied through rewriting of the binary, others have to be applied at source code level or during compile time. However, the source code of in-the-wild malware is often not available. For this paper, we collected the source code of eleven open source malware samples from the past 12 years and analyzed if they still compile on current systems. Furthermore, basic static analysis was performed to evaluate the usefulness of the resulting binaries for further malware obfuscation research. Our results indicate, that it is possible to compile available samples with moderate effort and the resulting binaries are very well suited for research purposes.
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编译和分析开源恶意软件的研究目的
恶意软件混淆可以使其二进制代码和包含的功能的自动和手动分析更加耗时。因此,对于恶意软件的研究,能够研究不同的混淆方法对产生的二进制代码的影响将是有用的。虽然有些混淆是通过重写二进制文件来应用的,但其他混淆必须在源代码级别或在编译期间应用。然而,野外恶意软件的源代码通常是不可用的。在本文中,我们收集了过去12年中11个开源恶意软件样本的源代码,并分析了它们是否仍然可以在当前系统上编译。此外,进行了基本的静态分析,以评估产生的二进制文件对进一步恶意软件混淆研究的有用性。我们的结果表明,用适度的努力编译可用的样本是可能的,并且得到的二进制文件非常适合研究目的。
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