使用Windows审计日志进行恶意行为检测

Konstantin Berlin, David Slater, Joshua Saxe
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引用次数: 77

摘要

随着反病毒和网络入侵检测系统越来越被证明不足以检测高级威胁,大型安全运营中心已经开始部署基于端点的传感器,以便对企业中的低级事件提供更深入的可视性。不幸的是,对于政府和行业中的许多组织来说,这些新解决方案的安装、维护和资源需求构成了采用的障碍,并被视为组织任务的风险。为了缓解这个问题,我们研究了无代理检测恶意端点行为的实用程序,仅使用标准的内置Windows审计日志记录工具作为我们的信号。我们发现,Windows审计日志在端点上发出可管理大小的数据流的同时,提供了足够的信息,允许对恶意行为进行稳健的检测。审计日志为在许多政府和工业环境中部署额外昂贵的基于代理的漏洞检测系统提供了一种有效、低成本的替代方案,在我们的测试中,审计日志可用于检测83%的恶意软件样本和0.1%的误报率。它们还可以补充现有的基于主机签名的防病毒解决方案,如卡巴斯基、赛门铁克和迈克菲,在我们的测试环境中,检测到这些防病毒系统遗漏的78%的恶意软件。
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Malicious Behavior Detection using Windows Audit Logs
As antivirus and network intrusion detection systems have increasingly proven insufficient to detect advanced threats, large security operations centers have moved to deploy endpoint-based sensors that provide deeper visibility into low-level events across their enterprises. Unfortunately, for many organizations in government and industry, the installation, maintenance, and resource requirements of these newer solutions pose barriers to adoption and are perceived as risks to organizations' missions. To mitigate this problem we investigated the utility of agentless detection of malicious endpoint behavior, using only the standard built-in Windows audit logging facility as our signal. We found that Windows audit logs, while emitting manageable sized data streams on the endpoints, provide enough information to allow robust detection of malicious behavior. Audit logs provide an effective, low-cost alternative to deploying additional expensive agent-based breach detection systems in many government and industrial settings, and can be used to detect, in our tests, 83% percent of malware samples with a 0.1% false positive rate. They can also supplement already existing host signature-based antivirus solutions, like Kaspersky, Symantec, and McAfee, detecting, in our testing environment, 78% of malware missed by those antivirus systems.
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