Optimus:基于关联的动态系统调用过滤,减少容器攻击面

Seungyong Yang, Brent Byunghoon Kang, Jaehyun Nam
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引用次数: 0

摘要

虽然容器的采用在促进大规模应用运行方面取得了显著增长,但这种关注度的提高也吸引了对手,他们利用当代容器中存在的大量漏洞进行攻击。遗憾的是,现有的安全解决方案在很大程度上忽视了限制容器访问共享主机内核的需要,尤其是在运行期间为容器执行最小权限方面表现出严重的局限性。因此,我们提出了 Optimus,这是一个自动化的综合系统,可使用基于关联的系统调用过滤功能限制容器操作并管理它们与主机内核的交互。Optimus 能有效识别容器所需的基本系统调用,并通过在运行时动态执行每个容器的最小系统调用集来增强其安全态势。这是通过以下方式实现的:(1)利用 eBPF 进行轻量级系统调用监控;(2)通过关联分析进行系统调用验证;(3)通过采用隐蔽容器更新进行动态系统调用过滤。我们的评估结果表明,Optimus 能有效减少容器的必要系统调用,同时在运行期间保持容器的可服务性和运行效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimus: association-based dynamic system call filtering for container attack surface reduction
While container adoption has witnessed significant growth in facilitating the operation of large-scale applications, this increased attention has also attracted adversaries who exploit numerous vulnerabilities present in contemporary containers. Unfortunately, existing security solutions largely overlooked the need to restrict container access to the shared host kernel, particularly exhibiting critical limitations in enforcing the least privilege for containers during runtime. Hence, we propose Optimus, an automated and comprehensive system that confines container operations and governs their interactions with the host kernel using an association-based system call filtering. Optimus efficiently identifies the essential system calls required by containers and enhances their security posture by dynamically enforcing the minimal set of system calls for each container during runtime. This is achieved through (1) lightweight system call monitoring leveraging eBPF, (2) system call validation via association analysis, and (3) dynamic system call filtering by adopting covert container renewal. Our evaluation shows that Optimus effectively minimizes the necessary system calls for containers while maintaining their serviceability and operational efficiency during runtime.
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