Skip to main content
CVE-2025-23268VulnerabilityPublished

CVE-2025-23268: NVIDIA Triton Inference Server · Improper Input Validation

Affects NVIDIA Triton Inference ServerSource CVE Database V5

0

Not known to be exploited · CVSS 8.0 High : upgrade to 25.07 soon.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
8.0High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 38% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 25.07
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 17 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 2026-10-26.

What to do

Upgrade NVIDIA Triton Inference Server to 25.07.

Affected software

ProductAffectedFixed in
NVIDIA Triton Inference ServerAffected
  • <25.07
Fixed in
  • 25.07

AI-suggested

European organizations should prioritize upgrading NVIDIA Triton Inference Server to version 25.07 or later, where this vulnerability is addressed. In environments where immediate patching is not feasible, organizations should implement strict network segmentation to isolate Triton servers from untrusted networks and limit access to trusted administrators only. Employing robust access controls and monitoring for unusual activity on Triton servers can help detect potential exploitation attempts. Additionally, organizations should audit and harden the deployment configurations of the DALI backend, ensuring that input sources are validated and sanitized at multiple layers. Integrating runtime application self-protection (RASP) and endpoint detection and response (EDR) solutions can provide additional defense-in-depth. Regular vulnerability scanning and penetration testing focused on AI infrastructure components should be conducted to identify and remediate similar issues proactively. Finally, organizations should maintain an incident response plan tailored to AI infrastructure compromise scenarios.

Description

NVIDIA Triton Inference Server contains a vulnerability in the DALI backend where an attacker may cause an improper input validation issue. A successful exploit of this vulnerability may lead to code execution.

References

Community reviews

Loading reviews…