Skip to main content
VulnerabilityPublished Updated

CVE-2025-23314: NVIDIA NeMo Framework · Code Injection

Affects NVIDIA NeMo FrameworkSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High : upgrade to 2.4.0 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 17% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.4.0
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 26 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 26 Oct 2026.

What to do

Upgrade NVIDIA NeMo Framework to 2.4.0.

Affected software

ProductAffectedFixed in
NVIDIA NeMo FrameworkAffected
  • <2.4.0
Fixed in
  • 2.4.0

AI-suggested

  1. Upgrade to NVIDIA NeMo Framework version 2.4.0 or later as soon as it becomes available, as this version addresses the vulnerability.
  2. If you cannot patch yet, restrict local access to systems running NeMo to trusted users only, minimizing the risk of malicious input.
  3. Implement strict input validation and sanitization on all data fed into the NLP components to prevent injection of malicious code.
  4. Employ application whitelisting and runtime application self-protection (RASP) techniques to detect and block unauthorized code execution attempts within NeMo processes.
  5. Monitor system and application logs for unusual activity indicative of exploitation attempts, such as unexpected process spawning or privilege escalations.
  6. Isolate NeMo workloads in sandboxed or containerized environments to limit the blast radius of any potential compromise.
  7. Conduct regular security audits and penetration testing focused on AI frameworks and their data inputs to identify and remediate similar vulnerabilities proactively.
  8. Educate developers and operators about secure coding practices related to code generation and execution within AI frameworks.

Description

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

References

Community reviews

Loading reviews…