Efficient Method for Analyzing Malicious Websites by Using Multi-Environment Analysis System

M. Hirotomo, Y. Nishio, Masaki Kamizono, Youji Fukuta, M. Mohri, Yoshiaki Shiraishi
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引用次数: 2

Abstract

The malicious websites used by drive-by download attacks change their behavior for web client environments. To analyze the behavior of malicious websites, the singleenvironment analysis cannot obtain sufficient information. Hence, it is difficult to analyze the whole aspect of malicious websites. Also, the code obfuscation and cloaking are used in malicious websites to avoid to be analyzed their behavior. In this paper, we propose an analyzing method that combines decoding of the obfuscation code with dynamic analysis using multi-environment analysis system in order to analyze the behavior of the malicious websites in detail. Furthermore, we present two approaches to improve the multi-environment analysis. The first one is automation of traffic log analysis to reduce the cost of analyzing huge traffic logs between the environments and malicious websites. The second one is multimodal analysis for finding the URL of malicious websites.
利用多环境分析系统分析恶意网站的有效方法
驱动下载攻击所使用的恶意网站会改变其在web客户端环境中的行为。要分析恶意网站的行为,单环境分析无法获得足够的信息。因此,很难对恶意网站进行全面的分析。此外,恶意网站还使用代码混淆和伪装来避免被分析其行为。为了详细分析恶意网站的行为,本文提出了一种利用多环境分析系统将混淆码解码与动态分析相结合的分析方法。此外,我们提出了两种改进多环境分析的方法。首先是流量日志分析的自动化,减少分析环境与恶意网站之间的海量流量日志的成本。二是查找恶意网站URL的多模态分析。
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