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VulnerabilityPublished Updated

CVE-2025-33204: NVIDIA NeMo Framework · Code Injection

Affects NVIDIA NeMo FrameworkSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High : upgrade to 2.5.1 soon.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.5.1
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 25 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 nvidia-nemo to 2.5.1.

Affected software

ProductAffectedFixed in
PyPInvidia-nemopkg:pypi/nvidia-nemoOther threatsAffected
  • <2.5.1
Fixed in
  • 2.5.1

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-2025-33204 effectively, organizations should take a multi-layered approach: 1) Immediately restrict access to systems running NVIDIA NeMo Framework to trusted users and processes only, minimizing the risk of local exploitation. 2) Implement strict input validation and sanitization for all data fed into the NeMo NLP and LLM components to prevent malicious code injection vectors. 3) Monitor system and application logs for unusual behavior indicative of code injection attempts or privilege escalation. 4) Employ runtime application self-protection (RASP) or endpoint detection and response (EDR) tools to detect and block suspicious activities in real time. 5) Segregate AI workloads in isolated environments or containers with minimal privileges to limit the blast radius of any potential exploit. 6) Stay informed on NVIDIA’s security advisories and apply patches or updates as soon as version 2.5.1 or later becomes available. 7) Conduct regular security assessments and penetration testing focused on AI frameworks to identify and remediate similar vulnerabilities proactively. 8) Educate developers and data scientists on secure coding and data handling practices specific to AI frameworks to reduce introduction of exploitable flaws.

Description

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP and LLM components, where malicious data created by an attacker could cause code injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

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