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JackHammer: Efficient Rowhammer on Heterogeneous FPGA-CPU Platforms

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arxiv 1912.11523 v3 pith:XM7FYD3M submitted 2019-12-24 cs.CR cs.AR

JackHammer: Efficient Rowhammer on Heterogeneous FPGA-CPU Platforms

classification cs.CR cs.AR
keywords fpgaattackrowhammercachefpga-cpujackhammerattacksheterogeneous
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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After years of development, FPGAs are finally making an appearance on multi-tenant cloud servers. These heterogeneous FPGA-CPU architectures break common assumptions about isolation and security boundaries. Since the FPGA and CPU architectures share hardware resources, a new class of vulnerabilities requires us to reassess the security and dependability of these platforms. In this work, we analyze the memory and cache subsystem and study Rowhammer and cache attacks enabled on two proposed heterogeneous FPGA-CPU platforms by Intel: the Arria 10 GX with an integrated FPGA-CPU platform, and the Arria 10 GX PAC expansion card which connects the FPGA to the CPU via the PCIe interface. We show that while Intel PACs currently are immune to cache attacks from FPGA to CPU, the integrated platform is indeed vulnerable to Prime and Probe style attacks from the FPGA to the CPU's last level cache. Further, we demonstrate JackHammer, a novel and efficient Rowhammer from the FPGA to the host's main memory. Our results indicate that a malicious FPGA can perform twice as fast as a typical Rowhammer attack from the CPU on the same system and causes around four times as many bit flips as the CPU attack. We demonstrate the efficacy of JackHammer from the FPGA through a realistic fault attack on the WolfSSL RSA signing implementation that reliably causes a fault after an average of fifty-eight RSA signatures, 25% faster than a CPU rowhammer attack. In some scenarios our JackHammer attack produces faulty signatures more than three times more often and almost three times faster than a conventional CPU rowhammer attack.

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Forward citations

Cited by 3 Pith papers

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  2. DejaVu: Why You Should Write to Your DRAM Rows Twice, Carefully

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    DejaVu is a newly characterized data-pattern effect in commercial DDR4 DRAM where double-writing rows alters read-disturbance bitflip thresholds, shown across 112 chips and with implications for PUD operations.

  3. PuDGhost: Experimental Analysis of Computation Result Corruption in Processing-using-DRAM Operations on Real DRAM Chips and Implications for Future Systems

    cs.AR 2026-06 unverdicted novelty 7.0

    PuDGhost causes up to 48% error in SiMRA-based PuD computations due to row and column interference, quantified on 96 real DDR4 chips with proposed mitigations like column screening and row layout changes.