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CVE-2025-33212VulnerabilityPublished Updated

CVE-2025-33212: NVIDIA NeMo Framework · Deserialization of Untrusted Data

Affects NVIDIA NeMo FrameworkSource CVE Database V5

0

Not known to be exploited · CVSS 7.3 High : upgrade to 2.5.3 soon.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.3High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 8% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.5.3
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 16 Dec 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 to 2.5.3.

Affected software

ProductAffectedFixed in
PyPInvidia-nemopkg:pypi/nvidia-nemoOther threatsAffected
  • <2.5.3
Fixed in
  • 2.5.3

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2025-33212, organizations should immediately upgrade NVIDIA NeMo Framework to version 2.5.3 or later once available. If you cannot patch yet, implement strict controls on model file sources by enforcing file integrity checks and digital signatures to prevent loading of untrusted or tampered files. Restrict user permissions to limit who can load or modify model files within NeMo environments. Employ application whitelisting and sandboxing to contain potential malicious code execution. Educate users about the risks of loading unverified model files and establish policies for safe handling of AI assets. Monitor systems for unusual activity related to NeMo processes, including unexpected file loads or privilege escalations. Additionally, consider isolating AI development environments from critical infrastructure to reduce blast radius in case of exploitation. Regularly review and update security controls as patches and advisories are released by NVIDIA.

Description

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and data tampering.

References

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