NVIDIA CUDA Driver Out-of-Bounds Write Vulnerability Allows for Privilege Escalation
Overview
NVIDIA released a security update for a high-severity vulnerability in its CUDA driver stack affecting both Linux and Windows systems. The vulnerability, identified as CVE-2025-7812, is an out-of-bounds write condition in the kernel-mode driver component responsible for managing GPU memory allocations for CUDA applications. A local attacker with basic user privileges could craft a specialized CUDA application that sends malformed memory copy requests (e.g., `cudaMemcpy`) to the driver. By providing incorrect size or offset parameters, the application could trigger the driver to write data outside of the intended buffer boundaries within kernel space. A successful exploit could lead to a denial of service (system crash) or, more severely, arbitrary code execution with kernel-level privileges. This poses a significant risk in multi-tenant ML environments, such as university clusters or cloud-based Jupyter notebook services, where multiple users share the same physical GPU. A malicious user could exploit this vulnerability to escape their containerized environment, access data from other users' processes running on the same GPU, and gain root access to the host machine. The vulnerability requires local access to run the malicious CUDA code, but it is a critical threat for any shared GPU infrastructure.
Affected Systems
Testing Guide
1. Check your current NVIDIA driver version. On Linux, run `nvidia-smi`. On Windows, use the NVIDIA Control Panel. 2. Compare the installed version to the patched versions listed in the NVIDIA security bulletin. If your version is lower, you are affected. 3. Attempting to run a proof-of-concept exploit is highly discouraged on production systems as it will likely cause a system crash. 4. After updating the driver, re-run `nvidia-smi` to confirm the new version is active.
Mitigation Steps
1. Update all NVIDIA drivers on affected systems to the latest patched versions provided by NVIDIA or your system vendor. 2. In multi-tenant environments, use containerization technologies with strict seccomp profiles and AppArmor/SELinux to limit the syscalls that can be made to the kernel, potentially mitigating exploit attempts. 3. Isolate workloads from different tenants onto separate physical GPUs where possible. 4. Regularly scan and monitor GPU driver versions as part of your infrastructure vulnerability management program.
Patch Details
Patches are available in NVIDIA driver versions 550.40 (Windows) and 545.23.06 (Linux) and newer.