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S&P2022顶会

MeshUp: Stateless Cache Side-channel Attack on CPU Mesh

Junpeng Wan, Yanxiang Bi, Zhe Zhou, Zhou Li

2022年份
42被引次数
18顶会引用

摘要

Cache side-channel attacks lead to severe security threats to the settings where a CPU is shared across users, e.g., in the cloud. The majority of attacks rely on sensing the micro-architectural state changes made by victims, but this assumption can be invalidated by combining spatial (e.g., Intel CAT) and temporal isolation. In this work, we advance the state of cache side-channel attacks by showing stateless cache side-channel attacks on server-grade CPUs, that can bypass both spatial and temporal isolation. Unlike stateful cache side-channel attacks that rely on the timing difference between a cache hit or miss, our attack exploits the timing difference caused by the interconnect congestion. Specifically, to complete cache transactions, for Intel server CPUs, which use non-inclusive and mesh interconnect, cache lines would travel across cores via the CPU mesh and UPI interconnects. Nonetheless, the interconnects are shared by all cores, and cache isolation does not segregate the traffic. An attacker can generate traffic to contend with a victim on a link, measure the extra delay, deduce the memory access pattern of the victim’s program, and infer its sensitive data. Based on this idea, we implement MESHUP, a stateless cache side-channel against mesh interconnect, and test it against the existing RSA implementations of JDK for the cross-core attack and application fingerprinting for the the cross-CPU attack. We found the RSA private key used by a victim process can be partially recovered and the co-running application can be inferred at high accuracy.

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