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VulnerabilityPublished

CVE-2025-33247: NVIDIA Megatron LM · Deserialization of Untrusted Data

Affects NVIDIA Megatron LMSource CVE Database V5

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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
0.3% chance of exploitation in 30 days – higher than 25% 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

Organizations should immediately plan to upgrade all NVIDIA Megatron LM deployments to version 0.15.3 or later once available, as this version addresses the deserialization vulnerability. If you cannot patch yet, restrict access to systems running Megatron LM to trusted users only, minimizing the risk of local exploitation. Implement strict input validation and sanitization on all data used in quantization configuration loading to prevent malicious serialized data from being processed. Employ sandboxing or containerization techniques to isolate Megatron LM processes, limiting the impact of potential code execution. Monitor system logs and behavior for unusual activities indicative of exploitation attempts. Conduct regular security audits and penetration testing focused on deserialization and input handling vulnerabilities. Educate developers and administrators about the risks of deserialization flaws and best practices for secure coding and deployment. Finally, maintain up-to-date backups and incident response plans to quickly recover from potential compromises.

Description

NVIDIA Megatron LM contains a vulnerability in quantization configuration loading, which could allow remote code execution. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

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