Battering RAM interposer attack breaks Intel SGX and AMD SEV-SNP confidential computing
Technical Analysis
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Researchers demonstrated Battering RAM, a $50 interposer attack that can bypass Intel SGX and AMD SEV-SNP, undermining confidential-computing protections for cloud-sensitive workloads. The technique exploits a low-cost hardware insert in the memory path to capture and replay encrypted data after boot. Because the attack can also defeat SEV-SNP attestation, it weakens trust in platforms that rely on hardware memory encryption for isolation.
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Timeline
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01.10.2025 17:54 1 articles · 7mo ago
Intel and AMD issue Battering RAM advisories
Mitigation Patch UpdateIntel and AMD issue separate advisories on Battering RAM, saying physical DRAM attacks are out of scope for current products and that they will not change processor technology to mitigate the exploit. Intel says the cryptographic integrity protection mode of Intel Total Memory Encryption-Multi-Key (Intel TME-MK) can provide additional protection against alias-based attacks on supported Xeon platforms, while AMD says the reported exploit falls outside the published threat model for SEV-SNP.
Show sources
- A $50 'Battering RAM' Can Bust Confidential Computing — www.darkreading.com — 01.10.2025 17:54
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01.10.2025 17:54 2 articles · 7mo ago
Researchers disclose $50 Battering RAM interposer attack
Initial DisclosureResearchers at KU Leuven and the University of Birmingham/Durham University disclose Battering RAM, a $50 custom DRAM interposer that sits in the memory path, dynamically rewrites address metadata, and captures and replays encrypted memory to bypass Intel SGX and AMD SEV-SNP on cloud systems. The technique can also break AMD SEV-SNP attestation, turn protected addresses toward attacker-controlled locations, and convert brief physical access into plaintext access or arbitrary writes inside confidential workloads.
Show sources
- A $50 'Battering RAM' Can Bust Confidential Computing — www.darkreading.com — 01.10.2025 17:54
- A $50 'Battering RAM' Can Bust Confidential Computing — www.darkreading.com — 01.10.2025 17:54