恶意软件的双重反分析(DAA)分析方法

Yanis Beqqali, Hamza Es Sadik, Francine Herrmann, Fabrice Sabatier
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引用次数: 0

摘要

大多数现代恶意软件使用反分析技术来逃避现有的检测和分析解决方案。我们设计了一种新的方法DAA来分析恶意软件,即使它们使用这种倾向。为此,我们分析了几种现有的旨在逃避恶意软件的方法,以便使用最有效的方法。设计并开发了一种新的开源软件工具。我们用超过30万个LHS的恶意软件测试了我们的软件。这个实现使我们确认了在一个能够对抗反分析技术的环境中研究恶意软件行为的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malware's Double Anti Analysis (DAA) Analysis Methodology
Most modern malware use anti-analyze techniques to escape existing detection and analysis solutions. We designed a new methodology DAA to analyze malwares even when they use this predisposition. To this end, we have analyzed several existing approaches aimed to evade malware in order to use the most effective ones. A new open source software tool has been designed and developed. We tested our software with more than 300000 LHS's malwares. This implementation allowed us to confirm the importance of studying the behaviour of malwares in an environment able to counter the anti-analysis techniques.
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