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Ragnar: Exploring Volatile-Channel Vulnerabilities on RDMA NIC

Yunpeng Xu, Yuchen Fan, Teng Ma, Shuwen Deng

2025Year
1Citations

Abstract

With the surge in data computation, Remote Direct Memory Access (RDMA) becomes crucial to offering low-latency and highthroughput communication for data centers, but it faces new security threats. This paper presents RAGNAR, a comprehensive suite of hardware-contention-based volatile-channel attacks leveraging the underexplored security vulnerabilities in RDMA hardware. Through comprehensive microbenchmark reverse engineering, we analyze RDMA NICs at multiple granularity levels and then construct covert-channel attacks, achieving 3.2x the bandwidth of state-of-the-art RDMA-targeted attacks on CX-5. We apply side-channel attacks on real-world distributed databases and disaggregated memory, where we successfully fingerprint operations and recover sensitive address data with 95.6% accuracy.

• RDMA-targeted/related SW issues. Software implementation issues by REDMARK [33], and one-sided non-auditability [32].

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