Malware examiner using disassembled code (MEDiC)

A. Sulaiman, K. Ramamoorthy, S. Mukkamala, A. Sung
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引用次数: 12

Abstract

Current static malware detection techniques have serious limitations, and sandbox testing also fails to provide a complete solution due to time constraints. In this paper, we present a robust assembly language signature-based malware detection technique, with emphasis on detecting obfuscated (or polymorphic) malware and mutated (or metamorphic) malware. The hypothesis is that all versions of the same malware share a common core signature that is a combination of several features of the code. After a particular malware has been first identified, it can be analyzed to extract the signature, which provides a basis for detecting variants and mutants of the same malware in the future. Given that the technique uses disassembled code, it can be used on any operating system. Encouraging experimental results on a large set of recent malware are presented.
恶意软件审查员使用反汇编代码(MEDiC)
目前的静态恶意软件检测技术存在严重的局限性,沙盒测试也由于时间的限制而无法提供完整的解决方案。在本文中,我们提出了一种基于汇编语言签名的鲁棒恶意软件检测技术,重点是检测混淆(或多态)恶意软件和突变(或变质)恶意软件。假设同一恶意软件的所有版本共享一个共同的核心签名,该签名是代码的几个特征的组合。在首次识别出特定的恶意软件后,可以对其进行分析,提取签名,为以后检测同一恶意软件的变体和突变提供依据。由于该技术使用反汇编代码,因此可以在任何操作系统上使用。在最近的一大批恶意软件上给出了令人鼓舞的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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