Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers
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Abstract (arXiv)
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. 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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Mar 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 0; 2025: 2.
4 papers.
- 2025A Step Toward World Models: A Survey on Robotic Manipulationcited by 15
- 2021Don't Knock! Rowhammer at the Backdoor of DNN Modelscited by 6
- 2021Attacking Deep Learning AI Hardware with Universal Adversarial Perturbationcited by 0
- 2025Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clientscited by 0
- 2025A Step Toward World Models: A Survey on Robotic Manipulation31 Oct 2025
- 2025Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients9 May 2025
- 2021Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation18 Nov 2021
- 2021Don't Knock! Rowhammer at the Backdoor of DNN Models14 Oct 2021