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CCS2021顶会

Demons in the Shared Kernel: Abstract Resource Attacks Against OS-level Virtualization

Nanzi Yang, Wenbo Shen, Jinku Li, Yutian Yang, Kangjie Lu, Jietao Xiao, Tianyu Zhou, Chenggang Qin, Wang Yu, Jianfeng Ma, Kui Ren

2021年份
32被引次数
12顶会引用

摘要

Due to its faster start-up speed and better resource utilization efficiency, OS-level virtualization has been widely adopted and has become a fundamental technology in cloud computing. Compared to hardware virtualization, OS-level virtualization leverages the shared-kernel design to achieve high efficiency and runs multiple user-space instances (a.k.a., containers) on the shared kernel. However, in this paper, we reveal a new attack surface that is intrinsic to OS-level virtualization, affecting Linux, FreeBSD, and Fuchsia. The root cause is that the shared-kernel design in OS-level virtualization results containers in sharing thousands of kernel variables and data structures directly and indirectly. Without exploiting any kernel vulnerabilities, a non-privileged container can easily exhaust the shared kernel variables and data structure instances to cause DoS attacks against other containers. Compared with the physical resources, these kernel variables or data structure instances (termed abstract resources) are more prevalent but under-protected. To show the importance of confining abstract resources, we conduct abstract resource attacks that target different aspects of the OS kernel. The results show that attacking abstract resources is highly practical and critical. We further conduct a systematic analysis to identify vulnerable abstract resources in the Linux kernel, which successfully detects 1,010 abstract resources and 501 of them can be repeatedly consumed dynamically. We also conduct the attacking experiments in the self-deployed shared-kernel container environments on the top 4 cloud vendors. The results show that all environments are vulnerable to abstract resource attacks. We conclude that containing abstract resources is hard and give out multiple strategies for mitigating the risks.

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