恶意软件分析方法的比较回顾

Ioannis G. Kiachidis, Dimitrios A. Baltatzis
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引用次数: 0

摘要

为了对抗恶意软件的演变及其发展,恶意软件分析人员所应用的特定方法至关重要。然而,在有关的参考书目或有关专业人员的正式和非正式培训中,这一点经常被忽视。恶意软件分析(MA)只有两种通用的、包罗万象的结构化方法——SAMA和MARE。问题是它们是否足够,是否不需要另一个,或者是否根本没有这种需要。本文将尝试回答上述问题,它将以以下方式做出贡献:它将呈现,比较和剖析这两种恶意软件分析方法,它将通过将它们应用于随机的现代样本来呈现它们分析现代恶意软件的能力,最后,它将得出结论,在这两种方法的演变中是否存在恶意软件分析的程序优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Review of Malware Analysis Methodologies
To fight against the evolution of malware and its development, the specific methodologies that are applied by the malware analysts are crucial. Yet, this is something often overlooked in the relevant bibliography or in the formal and informal training of the relevant professionals. There are only two generic and allencompassing structured methodologies for Malware Analysis (MA) – SAMA and MARE. The question is whether they are adequate and there is no need for another one or whether there is no such need at all. This paper will try to answer the above and it will contribute in the following ways: it will present, compare and dissect those two malware analysis methodologies, it will present their capacity for analysing modern malware by applying them on a random modern specimen and finally, it will conclude on whether there is a procedural optimization for malware analysis over the evolution of these two methodologies.
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