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S&P2022顶会

Augury: Using Data Memory-Dependent Prefetchers to Leak Data at Rest

Jose Rodrigo Sanchez Vicarte, Michael Flanders, Riccardo Paccagnella, Grant Garrett-Grossman, Adam Morrison, Christopher W. Fletcher, David Kohlbrenner

2022年份
66被引次数
36顶会引用

摘要

Microarchitectural side-channel attacks are enjoying a time of explosive growth, mostly fueled by novel transient execution vulnerabilities. These attacks are capable of leaking arbitrary data, as long as it is possible for the adversary to read that data into the processor core using transient instructions. In this paper, we present the first microarchitectural attack that leaks data at rest in the memory system, i.e., never directly read into the core speculatively or non-speculatively. This technique is enabled by a previously unreported class of prefetcher: a data memory-dependent prefetcher (DMP). These prefetchers are designed to allow prefetching of irregular address patterns such as pointer chases. As such, DMPs examine and use the contents of memory directly to determine which addresses to prefetch. Our experiments demonstrate the existence of a pointer-chasing DMP on recent Apple processors, including the A14 and M1. We then reverse engineer the details of this DMP to determine the opportunities for and restrictions it places on attackers using it. Finally, we demonstrate several basic attack primitives capable of leaking pointer values using the DMP.

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