CVE-2025-33204: NVIDIA NeMo Framework · Code Injection
Affects NVIDIA NeMo FrameworkSource CVE Database V5
Not known to be exploited · CVSS 7.8 High : upgrade to 2.5.1 soon.
Data as of 26 Oct 2026, 17:16 UTC
- 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:HExploitation evidence
Disclosed: evidence found.
CVE published 25 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
PyPInvidia-nemopkg:pypi/nvidia-nemoOther threats | Affected
| Fixed in
|
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.