NVIDIA CUDA Driver Use-After-Free Vulnerability Allows GPU Workload Escape
Overview
NVIDIA released a security update for a high-severity vulnerability in the CUDA driver kernel-mode layer. The vulnerability, identified as CVE-2026-10557, is a use-after-free condition that can be triggered by a specially crafted sequence of CUDA API calls from a user-mode process. An attacker with local access to a system, such as a user running code within a multi-tenant ML training environment (e.g., a Docker container with GPU passthrough), could exploit this flaw. By manipulating memory allocation and deallocation for specific GPU operations, the attacker's process can cause the kernel driver to reference a freed memory pointer. This can lead to a denial of service (crashing the host machine) or, more critically, arbitrary code execution in the kernel context. In a cloud or on-premise MLops environment where multiple users or services share GPU resources, this vulnerability could allow an attacker to escape their containerized environment and gain full control over the underlying host node. This would compromise all other ML workloads running on the same hardware, enabling data theft, model tampering, or lateral movement across the infrastructure. The flaw affects a wide range of enterprise and consumer GPUs using the affected driver branches.
Affected Systems
Testing Guide
1. Check your current NVIDIA driver version by running `nvidia-smi` on the host system. 2. Compare the displayed driver version with the patched versions listed in the NVIDIA security bulletin (e.g., 555.42.02 for the CUDA driver). 3. If your version is lower than the patched version, the system is vulnerable and should be updated.
Mitigation Steps
1. Update all NVIDIA drivers on affected systems to the patched versions listed in the security bulletin. 2. In multi-tenant environments, consider using stronger isolation technologies like gVisor or Kata Containers for GPU workloads, although this may incur a performance penalty. 3. Limit GPU access to trusted users and processes only. 4. Regularly scan container images and host systems for vulnerabilities and apply security patches promptly.
Patch Details
Patched in NVIDIA CUDA Driver version 555.42.02 and subsequent releases. All users are advised to update their drivers from the official NVIDIA website.