我们容易受到罗汉默病的影响吗?云提供商的端到端方法论

L. Cojocar, Jeremie S. Kim, Minesh Patel, L. Tsai, S. Saroiu, A. Wolman, O. Mutlu
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引用次数: 71

摘要

云提供商担心Rowhammer会对他们的服务器造成潜在的严重威胁,但目前他们缺乏一种系统的方法来测试他们服务器中使用的DRAM是否容易受到Rowhammer攻击。本文提出了一种端到端方法来确定云服务器是否容易受到这些攻击。使用我们的方法,云提供商可以为DRAM构建最坏的测试条件。我们将我们的方法应用于一家主要云提供商的三类服务器。我们的研究结果表明,在之前的工作中,用于安装Rowhammer攻击的CPU指令序列都不会产生最坏的DRAM测试条件。为了解决这一限制,我们开发了一个指令序列,利用微架构的副作用,在现代英特尔Skylake和Cascade Lake平台上以接近最佳的速度“敲打”DRAM。我们还设计了一个DDR4故障注入器,可以对任何DDR4 DIMM的行邻接进行逆向工程。当应用于我们云提供商的内存时,我们发现DRAM行并不总是遵循线性映射。
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Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers
Cloud providers are concerned that Rowhammer poses a potentially critical threat to their servers, yet today they lack a systematic way to test whether the DRAM used in their servers is vulnerable to Rowhammer attacks. This paper presents an endto-end methodology to determine if cloud servers are susceptible to these attacks. With our methodology, a cloud provider can construct worst-case testing conditions for DRAM.We apply our methodology to three classes of servers from a major cloud provider. Our findings show that none of the CPU instruction sequences used in prior work to mount Rowhammer attacks create worst-case DRAM testing conditions. To address this limitation, we develop an instruction sequence that leverages microarchitectural side-effects to "hammer" DRAM at a near-optimal rate on modern Intel Skylake and Cascade Lake platforms. We also design a DDR4 fault injector that can reverse engineer row adjacency for any DDR4 DIMM. When applied to our cloud provider’s DIMMs, we find that DRAM rows do not always follow a linear map.
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