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CVE-2025-23304VulnerabilityPublished Updated

CVE-2025-23304: NVIDIA NeMo Framework · Path Traversal

Affects NVIDIA NeMo FrameworkSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High : upgrade to 2.3.2 soon.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.0% chance of exploitation in 30 days – higher than 64% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.3.2
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 13 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 2026-10-25.

What to do

Upgrade NVIDIA NeMo Framework to 2.3.2.

Affected software

ProductAffectedFixed in
NVIDIA NVIDIA NeMo FrameworkAffected
  • <2.3.2
Fixed in
  • 2.3.2

AI-suggested

1. 2. Implement strict validation and sanitization of all .nemo files before loading, ensuring metadata does not contain path traversal sequences or unauthorized file references. 3. Restrict file system permissions for directories used by NeMo to prevent unauthorized file creation or modification. 4. Employ application whitelisting and runtime application self-protection (RASP) to detect and block anomalous code execution attempts within AI model loading processes. 5. Monitor logs and file access patterns for suspicious activity related to .nemo file handling. 6. Isolate AI model loading environments using containerization or sandboxing to limit the impact of potential exploitation. 7. Educate developers and system administrators about secure handling of AI model files and the risks of loading untrusted models. 8. Coordinate with NVIDIA support and subscribe to security advisories for timely updates and patches.

Description

NVIDIA NeMo library for all platforms contains a vulnerability in the model loading component, where an attacker could cause code injection by loading .nemo files with maliciously crafted metadata. A successful exploit of this vulnerability may lead to remote code execution and data tampering.

References

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