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CVE-2025-23282VulnerabilityPublished Updated

CVE-2025-23282: NVIDIA Virtual GPU Manager · Double Free

Affects NVIDIA Virtual GPU ManagerSource CVE Database V5

0

Not known to be exploited · CVSS 7.0 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.0High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 6% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Oct 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

AI-suggested

1. Restrict local access to systems running NVIDIA Virtual GPU Manager to trusted users only, minimizing the attack surface. 2. Implement strict access controls and monitoring on Linux hosts with NVIDIA GPU virtualization to detect unusual privilege escalation attempts or memory corruption indicators. 3. Use kernel-level security features such as SELinux or AppArmor to limit the capabilities of the Virtual GPU Manager process and contain potential exploits. 4. Regularly audit and update system configurations to ensure minimal privileges are granted to users and services interacting with GPU virtualization components. 5. Prepare for rapid deployment of patches from NVIDIA once released by maintaining an inventory of affected systems and testing updates in controlled environments. 6. Employ runtime memory protection technologies (e.g., Address Space Layout Randomization (ASLR), stack canaries) to reduce the likelihood of successful exploitation of memory corruption vulnerabilities. 7. Consider isolating GPU virtualization workloads in dedicated environments or containers to limit the blast radius of a potential exploit. 8. Monitor vendor advisories and threat intelligence feeds for updates on exploit availability and mitigation guidance.

Description

NVIDIA Display Driver for Linux contains a vulnerability where an attacker might be able to use a race condition to escalate privileges. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, and information disclosure.

References

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