Privilege Escalation via Buffer Overflow in NVIDIA GPU Display Driver for CUDA Workloads
Overview
NVIDIA released a security update addressing a high-severity vulnerability in their GPU Display Driver that affects systems running CUDA workloads, particularly in containerized environments like Docker or Kubernetes. The vulnerability, identified as CVE-2026-25893, is an out-of-bounds write issue within the kernel-mode driver component responsible for managing CUDA memory allocations. An attacker with access to execute code within a container with GPU access (a common setup for ML training and inference) can craft a malicious CUDA kernel. When this kernel is executed, it triggers the buffer overflow, allowing the attacker to write to arbitrary kernel memory. This can be leveraged to corrupt kernel data structures, leading to a container escape and execution of arbitrary code on the underlying host operating system with SYSTEM or root privileges. The impact is significant in multi-tenant GPU-sharing environments, as a compromise of one user's ML container could lead to the complete compromise of the host machine and all other containers running on it. This could result in the theft of sensitive models and data from other tenants. The vulnerability was discovered by an independent security researcher and reported through NVIDIA's bug bounty program. All users of affected driver versions are urged to update immediately.
Affected Systems
Testing Guide
1. On Linux, check the installed driver version by running the `nvidia-smi` command. The version number is displayed in the top right corner. 2. On Windows, check the version in the NVIDIA Control Panel under "System Information". 3. Compare your installed version with the patched version (555.99) mentioned in the NVIDIA security bulletin. If your version is lower, you are affected. 4. A proof-of-concept exploit kernel may be available from security researchers. Only run such PoCs in a dedicated, non-production environment.
Mitigation Steps
1. Update NVIDIA drivers to the latest version available from the official NVIDIA website or your cloud provider's marketplace. The patched version is 555.99 or later. 2. In multi-tenant environments, use stronger isolation technologies like Kata Containers or gVisor for running untrusted ML workloads. 3. Regularly scan host systems and container images for outdated driver components. 4. Apply the principle of least privilege. Do not grant GPU access to containers that do not explicitly require it.
Patch Details
Patched in NVIDIA GPU Display Driver version 555.99 and later. See the NVIDIA security bulletin for specific driver branches.