Detecting malware's failover C&C strategies with squeeze

M. Neugschwandtner, P. M. Comparetti, Christian Platzer
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引用次数: 36

Abstract

The ability to remote-control infected PCs is a fundamental component of modern malware campaigns. At the same time, the command and control (C&C) infrastructure that provides this capability is an attractive target for mitigation. In recent years, more or less successful takedown operations have been conducted against botnets employing both client-server and peer-to-peer C&C architectures. To improve their robustness against such disruptions of their illegal business, botnet operators routinely deploy redundant C&C infrastructure and implement failover C&C strategies. In this paper, we propose techniques based on multi-path exploration [1] to discover how malware behaves when faced with the simulated take-down of some of the network endpoints it communicates with. We implement these techniques in a tool called Squeeze, and show that it allows us to detect backup C&C servers, increasing the coverage of an automatically generated C&C blacklist by 19.7%, and can trigger domain generation algorithms that malware implements for disaster-recovery.
检测恶意软件的故障转移C&C策略与挤压
远程控制受感染pc的能力是现代恶意软件活动的基本组成部分。同时,提供这种能力的指挥和控制(C&C)基础设施是一个有吸引力的缓解目标。近年来,针对采用客户机-服务器和点对点C&C架构的僵尸网络进行了或多或少成功的拆除操作。为了提高对此类非法业务中断的稳健性,僵尸网络运营商通常会部署冗余的C&C基础设施并实施故障转移C&C策略。在本文中,我们提出了基于多路径探索[1]的技术来发现恶意软件在面对与之通信的一些网络端点的模拟停机时的行为。我们在一个名为Squeeze的工具中实现了这些技术,并表明它允许我们检测备份C&C服务器,将自动生成的C&C黑名单的覆盖范围增加了19.7%,并且可以触发恶意软件实现的用于灾难恢复的域生成算法。
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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