NVIDIA GPU Driver Use-After-Free Vulnerability Allows Privilege Escalation
Overview
NVIDIA released a security update for its GPU display driver, addressing several vulnerabilities, the most severe of which could lead to denial of service or privilege escalation. The vulnerability, designated CVE-2025-45189, is a use-after-free condition in the kernel mode layer (`nvlddmkm.sys` on Windows, `nvidia.ko` on Linux). An attacker with local, low-privilege user access could run a specially crafted application that interacts with the driver's IOCTL handler. By manipulating memory allocation and deallocation sequences in a specific way, the application could trigger a race condition where the kernel driver attempts to use a pointer to memory that has already been freed. This could be exploited to corrupt kernel memory, leading to a system crash (Denial of Service) or, in a more sophisticated attack, to execute arbitrary code with kernel-level privileges. This vulnerability is particularly relevant to the AI/ML ecosystem as it affects both high-end data center GPUs (Tesla, Hopper) and consumer-grade cards (RTX series) commonly used for model training and development. A compromised host could allow an attacker to escape containerized ML workloads or gain full control over a shared multi-tenant AI development server.
Affected Systems
Testing Guide
1. Check your currently installed NVIDIA driver version. On Linux, run `nvidia-smi`. On Windows, use the NVIDIA Control Panel. 2. If the version is lower than 550.40, your system is affected. 3. Due to the complexity and risk of kernel exploitation, it is not recommended to attempt to actively test for this vulnerability. Confirmation should be based on the installed driver version.
Mitigation Steps
1. **Update Drivers:** Immediately update NVIDIA drivers to version 550.40 or newer from the official NVIDIA driver downloads page. 2. **Limit User Access:** On multi-tenant systems, restrict shell access and the ability to run arbitrary executables for untrusted users. 3. **Use Secure Containers:** Run ML workloads in hardened containers using technologies like gVisor or Kata Containers to provide an additional layer of isolation between the container and the host kernel. 4. **Monitor System Logs:** Regularly monitor kernel and system logs for unexpected crashes or errors related to the NVIDIA driver, which could indicate attempted exploitation.
Patch Details
Patched in NVIDIA GPU Driver version 550.40 and all subsequent releases.