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VulnerabilityPublished Updated

CVE-2025-23357: NVIDIA Megatron-LM · Code Injection

Affects NVIDIA Megatron-LMSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High : upgrade to 0.14.0 soon.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 39% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.14.0
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 11 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 Megatron-LM to 0.14.0.

Affected software

ProductAffectedFixed in
NVIDIA Megatron-LMAffected
  • <0.14.0
Fixed in
  • 0.14.0

AI-suggested

  1. Upgrade to NVIDIA Megatron-LM version 0.14.0 or later as soon as it becomes available to apply the official patch addressing this vulnerability.
  2. If you cannot patch yet, restrict access to systems running Megatron-LM to trusted personnel only, employing strict access controls and monitoring.
  3. Implement rigorous input validation and sanitization on all data processed by vulnerable scripts to prevent malicious code injection.
  4. Employ application whitelisting and runtime application self-protection (RASP) mechanisms to detect and block unauthorized code execution attempts.
  5. Monitor system logs and behavior for unusual activities indicative of exploitation attempts, such as unexpected script executions or privilege escalations.
  6. Conduct regular security audits and penetration testing focused on AI infrastructure to identify and remediate similar vulnerabilities proactively.
  7. Educate internal teams about the risks associated with local access vulnerabilities and enforce least privilege principles to minimize attack surfaces.

Description

NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering.

References

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