恶意域名属于哪个DGA族

Yunyi Zhang, Yuelong Wu, Shuyuan Jin
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引用次数: 1

摘要

DGA (Domain Generation Algorithm)是一种在短时间内生成大量域名的技术,常被恶意攻击者用于恶意软件中,以绕过域名黑名单等安全机制。除了发现DGA域外,识别DGA家族对于检测和分析恶意软件也具有重要意义,为安全专业人员提供了全面分析的视角。本文研究了22个不同的DGA家族,提出了一种有效的DGA家族描述和分类方法,该方法利用强宿主关联和全家福来识别大量DGA域中不同的DGA家族。该方法缓解了不同族间数据差异近100倍带来的障碍,实现了DGA族聚类。实验结果表明,该方法能够准确地识别出包含6个DGA家族的网络中的所有DGA家族。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Which DGA Family does A Malicious Domain Name Belong To
The Domain Generation Algorithm (DGA) is a technology that generates a large amount of domains in a short time, commonly applied to malware by malicious attackers to circumvent the security mechanisms, such as domain blacklist. Besides discovering DGA domains, identifying DGA families also is significant for detecting and analyzing malware, which provides security professionals with the perspective of comprehensive analysis. In this paper, we investigate 22 different DGA families and propose an effective approach to portray and classify DGA families, which utilizes the strong host association and family portrait to identify different DGA families among massive DGA domains. The approach mitigates the hurdle caused by the nearly 100 times data difference among different families, implementing DGA family clustering. The experimental results show that the proposed approach identifies all of the DGA families accurately in the network that contains six families.
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