{"id":642036,"date":"2020-03-09T17:59:07","date_gmt":"2020-03-10T00:59:07","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=642036"},"modified":"2020-05-15T07:44:53","modified_gmt":"2020-05-15T14:44:53","slug":"are-we-susceptible-to-rowhammer-an-end-to-end-methodology-for-cloud-providers","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/are-we-susceptible-to-rowhammer-an-end-to-end-methodology-for-cloud-providers\/","title":{"rendered":"Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers"},"content":{"rendered":"<p>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 end-to-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.<\/p>\n<p>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 &#8220;hammer&#8221; 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&#8217;s DIMMs, we find that DRAM rows do not always follow a linear map.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 end-to-end methodology to determine if cloud servers are susceptible to these attacks. With our methodology, a [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"IEEE Symposium on Security and Privacy 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