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CVE-2025-23272VulnerabilityPublished

CVE-2025-23272: NVIDIA CUDA Toolkit · Out-of-bounds Read

Affects NVIDIA CUDA ToolkitSource CVE Database V5

0

Not known to be exploited · CVSS 5.7 Medium : upgrade to 12.9 when convenient.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
5.7Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 4% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 12.9
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 24 Sep 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

Upgrade NVIDIA CUDA Toolkit to 12.9.

Affected software

ProductAffectedFixed in
NVIDIA NVIDIA CUDA ToolkitAffected
  • <12.9
Fixed in
  • 12.9

AI-suggested

European organizations should prioritize upgrading to NVIDIA CUDA Toolkit version 12.9 Update 1 or later, where this vulnerability is addressed. Until patching is possible, organizations should implement strict access controls to limit local access to systems running vulnerable CUDA Toolkit versions, including enforcing least privilege principles and monitoring for unauthorized access attempts. Network segmentation and isolation of GPU-accelerated computing environments can reduce exposure. Additionally, organizations should audit and restrict the processing of untrusted JPEG files, especially those originating from external or less trusted sources, to prevent triggering the vulnerability. Employing runtime application self-protection (RASP) or memory protection mechanisms may help detect or mitigate out-of-bounds reads. Regularly monitoring system logs and GPU usage patterns for anomalies can aid in early detection of exploitation attempts. Finally, organizations should maintain an inventory of systems using the CUDA Toolkit to ensure timely patch management and vulnerability remediation.

Description

NVIDIA nvJPEG library contains a vulnerability where an attacker can cause an out-of-bounds read by means of a specially crafted JPEG file. A successful exploit of this vulnerability might lead to information disclosure or denial of service.

References

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