Skip to main content
VulnerabilityPublished Updated

CVE-2025-33186: AuthN component of NVIDIA AIStore · Use of Hard-coded Credentials

Affects AuthN component of NVIDIA AIStoreSource CVE Database V5

0

Not known to be exploited · CVSS 8.8 High : upgrade to 3.31 soon.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 33% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.31
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Nov 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

Upgrade AuthN component of NVIDIA AIStore to 3.31.

Affected software

ProductAffectedFixed in
NVIDIA AuthN component of NVIDIA AIStoreAffected
  • <3.31
Fixed in
  • 3.31

AI-suggested

  1. Upgrade NVIDIA AIStore to version 3.31 or later immediately, as this version addresses the hard-coded credentials issue.
  2. If upgrading is not immediately possible, restrict network access to the AuthN component using firewall rules or network segmentation to limit exposure only to trusted hosts.
  3. Implement strong monitoring and alerting for unusual authentication attempts or access patterns related to AIStore.
  4. Conduct internal audits to identify any use of hard-coded credentials in custom or legacy components and replace them with secure credential management solutions.
  5. Educate users about the risk of social engineering or phishing attacks that could facilitate exploitation requiring user interaction.
  6. Employ multi-factor authentication (MFA) around AIStore access points where feasible to add an additional security layer.
  7. Regularly review and update incident response plans to include scenarios involving AI infrastructure compromise.
  8. Coordinate with NVIDIA support and subscribe to security advisories for timely updates on patches and mitigations.

Description

NVIDIA AIStore contains a vulnerability in AuthN. A successful exploit of this vulnerability might lead to escalation of privileges, information disclosure, and data tampering.

References

Community reviews

Loading reviews…