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VulnerabilityPublished Updated

CVE-2025-23290: NVIDIA GPU Display Drivers · Information Exposure

Affects NVIDIA GPU Display DriversSource CVE Database V5

0

Not known to be exploited · CVSS 2.5 Low.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
2.5Low
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.
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Aug 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 26 Oct 2026.

What to do

AI-suggested

European organizations should implement the following specific mitigations: 1) Restrict and monitor access to virtualized GPU resources to trusted and authenticated users only, minimizing the risk of malicious guest VMs. 2) Employ strict VM isolation policies and network segmentation to reduce the likelihood of lateral movement and privilege escalation within the virtualized environment. 3) Regularly update NVIDIA vGPU software to the latest versions once patches addressing CVE-2025-23290 become available. 4) Use hypervisor-level security features to enforce stronger isolation between VMs, including disabling unnecessary GPU metric sharing if configurable. 5) Monitor GPU usage metrics and logs for anomalous access patterns that could indicate exploitation attempts. 6) Conduct security awareness training for administrators managing virtualized GPU environments to recognize and respond to potential insider threats. 7) Consider deploying additional security controls such as runtime application self-protection (RASP) or host-based intrusion detection systems (HIDS) to detect suspicious activities related to GPU resource access.

Description

NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a guest could get global GPU metrics which may be influenced by work in other VMs. A successful exploit of this vulnerability might lead to information disclosure.

References

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