Skip to main content
VulnerabilityPublished

CVE-2026-24151: NVIDIA Megatron LM · Deserialization of Untrusted Data

Affects NVIDIA Megatron LMSource CVE Database V5

0
Compare

Not known to be exploited · CVSS 7.8 High : upgrade to 0.15.3 soon.

Data as of 30 Oct 2026, 11:52 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 11% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.15.3
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 24 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 30 Oct 2026.

What to do

Upgrade megatron-lm to 0.15.3.

Affected software

ProductAffectedFixed in
NVIDIAMegatron LMAffected
  • =All versions prior to 0.15.3
Fixed in–
PyPImegatron-lmpkg:pypi/megatron-lmOther threatsAffected
  • <0.15.3
Fixed in
  • 0.15.3

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-2026-24151, organizations should immediately upgrade NVIDIA Megatron-LM to version 0.15.3 or later once available. If you cannot patch yet, restrict access to systems running Megatron-LM to trusted users only and enforce strict privilege separation to limit the potential for exploitation. Implement input validation and sanitization to prevent loading of untrusted or malformed data. Employ sandboxing or containerization techniques to isolate the inferencing environment, minimizing the impact of potential code execution. Monitor logs and system behavior for unusual activity indicative of exploitation attempts. Conduct regular security audits of AI infrastructure and ensure that security policies cover AI-specific risks. Additionally, educate users about the risks of loading untrusted inputs and establish strict operational procedures for handling AI model inputs. Collaborate with NVIDIA support channels for updates and advisories related to this vulnerability.

Description

NVIDIA Megatron-LM contains a vulnerability in inferencing where an Attacker may cause an RCE by convincing a user to load a maliciously crafted input. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

Community reviews

Loading reviews…