New Rowhammer Attacks on Nvidia GPUs Compromise Host Machines
By Dan Goodin

AI Summary
High-performance GPUs, often shared in cloud environments due to their high cost, are now targets for two new Rowhammer attacks that can give attackers full root control over host machines. These attacks, GDDRHammer and GeForge, exploit the vulnerability of GPU memory to bit flips, a phenomenon where memory bits switch from 0 to 1 or vice versa due to electrical disturbances. Originally discovered in DRAM used in CPUs, Rowhammer attacks have evolved over the past decade to affect various DRAM types, including those with error-correcting codes and protections.
## Evolution of Rowhammer Attacks
Rowhammer attacks have historically targeted CPU memory, but recent research has shown that GPU memory is equally susceptible. Last year, researchers demonstrated that GDDR DRAM used in Nvidia GPUs could be affected, though the impact was limited. Now, two independent research teams have shown that attacks on Nvidia's Ampere generation GPUs can lead to full system compromise by flipping bits in GPU memory, which in turn affects CPU memory.
## GDDRHammer and GeForge Attacks
GDDRHammer, targeting the RTX 6000, uses novel hammering patterns and memory massaging to induce a significant number of bit flips, breaking the isolation of GPU page tables and allowing attackers to read and write to GPU memory. GeForge, on the other hand, manipulates the last-level page directory to achieve similar results on the RTX 3060 and RTX 6000, ultimately allowing attackers to open a root shell on the host machine.
## Mitigation Strategies
To mitigate these vulnerabilities, enabling IOMMU in BIOS settings can prevent GPUs from accessing sensitive memory locations. Error Correcting Codes (ECC) can also be enabled, though both solutions come with performance trade-offs. Currently, only the RTX 3060 and RTX 6000 are known to be vulnerable, but future GPU generations might also be at risk.
## Implications for Security
These findings highlight the need for GPU manufacturers and users to be aware of the potential security risks posed by Rowhammer attacks. While no known instances of such attacks have been used in the wild, the research serves as a warning that GPU memory vulnerabilities could have serious security implications.
Key Concepts
Rowhammer is a type of cyber attack that exploits a hardware vulnerability in DRAM memory, where repeatedly accessing a row of memory can cause bit flips in adjacent rows.
Bit flips refer to the phenomenon where a bit in memory changes its state from 0 to 1 or vice versa, often due to electrical disturbances or hardware vulnerabilities.
Category
TechnologyOriginal source
https://arstechnica.com/security/2026/04/new-rowhammer-attacks-give-complete-control-of-machines-running-nvidia-gpus/More on Discover
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