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CVE-2025-23305VulnerabilityPublished

CVE-2025-23305: NVIDIA Megatron-LM · Code Injection

Affects NVIDIA Megatron-LMSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High : upgrade to 0.12.2 soon.

Data as of 25 Oct 2026, 19:02 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 0.12.2
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 13 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 2026-10-25.

What to do

Upgrade NVIDIA Megatron-LM to 0.12.2.

Affected software

ProductAffectedFixed in
NVIDIA Megatron-LMAffected
  • <0.12.2
Fixed in
  • 0.12.2

AI-suggested

To mitigate this vulnerability, European organizations should prioritize upgrading NVIDIA Megatron-LM to version 0.12.2 or later as soon as it becomes available. If you cannot patch yet, organizations should restrict access to systems running Megatron-LM tools to trusted users only, enforcing strict access controls and monitoring for unusual local activity. Employ application whitelisting and runtime application self-protection (RASP) mechanisms to detect and block unauthorized code execution attempts. Conduct thorough code reviews and static analysis on any custom scripts or extensions interacting with Megatron-LM tools to identify potential injection vectors. Network segmentation should be applied to isolate AI infrastructure from broader enterprise networks, limiting lateral movement in case of compromise. Additionally, implement robust logging and alerting to detect suspicious behaviors indicative of exploitation attempts. Organizations should also engage with NVIDIA security advisories regularly to apply patches promptly once released.

Description

NVIDIA Megatron-LM for all platforms contains a vulnerability in the tools component, where an attacker may exploit a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

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