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Vulnerability Database/CVE-2025-23281

CVE-2025-23281: NVIDIA GPU Driver Use-After-Free Flaw

CVE-2025-23281 is a use-after-free vulnerability in NVIDIA GPU Display Driver for Windows that enables privilege escalation through race conditions. This article covers technical details, affected versions, and mitigation.

Updated:

CVE-2025-23281 Overview

CVE-2025-23281 is a use-after-free vulnerability [CWE-416] in the NVIDIA GPU Display Driver for Windows. A local, low-privileged attacker who wins a race condition can trigger memory reuse after it has been freed. Successful exploitation can lead to code execution, privilege escalation, data tampering, denial of service, or information disclosure.

The issue combines a race condition with a memory lifecycle flaw in kernel-mode driver components. Exploitation requires local access but no user interaction. NVIDIA published guidance in the NVIDIA Customer Support Article.

Critical Impact

A local unprivileged attacker who wins the race window can execute code in kernel context, escalating from a standard user to full system compromise on affected Windows hosts.

Affected Products

  • NVIDIA GPU Display Driver for Windows
  • Windows systems running vulnerable NVIDIA driver branches referenced in the vendor advisory
  • Workstations and servers using affected NVIDIA graphics hardware on Windows

Discovery Timeline

  • 2025-08-02 - CVE-2025-23281 published to the National Vulnerability Database (NVD)
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-23281

Vulnerability Analysis

The vulnerability is a use-after-free condition reachable through a race in the NVIDIA GPU Display Driver on Windows. The driver frees a kernel object while a concurrent code path still holds or dereferences a pointer to that object. When the freed allocation is reused, the stale pointer references attacker-influenced contents.

Because the affected code runs in kernel mode, memory corruption translates directly into kernel-level primitives. An attacker who consistently wins the race can achieve arbitrary read, arbitrary write, or control flow hijack inside the driver. The impact spans confidentiality, integrity, and availability of the host.

The attack complexity is high because the attacker must reliably interleave two threads to hit the free-and-use window. Local access with low privileges is sufficient, and no user interaction is required.

Root Cause

The root cause is inadequate synchronization around an object's lifetime inside the NVIDIA kernel driver. One thread frees the object while another thread retains and later dereferences the same pointer. This classifies as [CWE-416] Use After Free, with a race condition acting as the trigger.

Attack Vector

Exploitation is local. A standard user process opens a handle to an NVIDIA driver device object and issues concurrent I/O control (IOCTL) or user-mode driver requests. By interleaving allocation, free, and reuse operations, the attacker forces the driver to operate on a dangling pointer. Winning the race replaces the freed memory with attacker-controlled data before the stale reference is used, enabling kernel-mode code execution or privilege escalation to NT AUTHORITY\SYSTEM.

No proof-of-concept code is publicly available for CVE-2025-23281. Refer to the NVIDIA Customer Support Article for vendor technical details.

Detection Methods for CVE-2025-23281

Indicators of Compromise

  • Unexpected kernel crashes or bug checks referencing NVIDIA driver modules such as nvlddmkm.sys
  • Standard user processes opening handles to NVIDIA driver device objects and issuing high-frequency IOCTL bursts
  • New services, scheduled tasks, or drivers created by processes that previously ran under a non-privileged token
  • Token elevation events on hosts where the initiating process is not a known administrative tool

Detection Strategies

  • Monitor Windows Error Reporting and Event Log entries for repeated crashes in NVIDIA kernel driver components, which can indicate failed exploitation attempts
  • Correlate DeviceIoControl activity against NVIDIA driver device paths with subsequent process token changes on the same host
  • Baseline expected NVIDIA driver versions across the fleet and alert on hosts running versions predating the vendor fix

Monitoring Recommendations

  • Enable kernel driver telemetry and forward crash dumps to a central analysis pipeline for triage
  • Track user-to-SYSTEM privilege transitions with process ancestry so anomalous elevations are visible
  • Continuously inventory installed NVIDIA driver versions and flag deviations from the patched baseline

How to Mitigate CVE-2025-23281

Immediate Actions Required

  • Apply the updated NVIDIA GPU Display Driver for Windows referenced in the NVIDIA Customer Support Article
  • Inventory all Windows endpoints and servers with NVIDIA GPUs to identify vulnerable driver versions
  • Restrict local logon rights on high-value systems to reduce the population of users who can attempt exploitation
  • Enable Windows Defender Exploit Guard and Hypervisor-Protected Code Integrity (HVCI) where hardware supports it

Patch Information

NVIDIA has released fixed driver versions. Consult the NVIDIA Customer Support Article for the exact patched branches and version numbers that apply to each affected product line. Deploy the update through standard software distribution channels and verify installation by checking driver version metadata after reboot.

Workarounds

  • No official workaround replaces the patch; upgrade the driver as the primary remediation
  • Limit interactive and remote local logon to trusted administrators on systems that cannot be patched immediately
  • Where GPU workloads are not required, uninstall the NVIDIA display driver and fall back to the Microsoft Basic Display Adapter until patching is complete
bash
# Verify installed NVIDIA driver version on Windows (PowerShell)
Get-CimInstance Win32_PnPSignedDriver `
  | Where-Object { $_.DeviceName -like '*NVIDIA*' } `
  | Select-Object DeviceName, DriverVersion, DriverDate

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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