CVE-2026-24150: NVIDIA Megatron LM · Deserialization of Untrusted Data
Affects NVIDIA Megatron LMSource CVE Database V5
Not known to be exploited · CVSS 7.8 High : upgrade to 0.15.3 soon.
Data as of 30 Oct 2026, 11:52 UTC
- 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:HExploitation evidence
Disclosed: evidence found.
CVE published 24 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
| NVIDIAMegatron LM | Affected
| Fixed in– |
PyPImegatron-lmpkg:pypi/megatron-lmOther threats | Affected
| Fixed in
|
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-2026-24150, organizations should prioritize upgrading NVIDIA Megatron-LM to version 0.15.3 or later once the patch is released. Until then, avoid loading checkpoint files from untrusted or unauthenticated sources. Implement strict validation and integrity checks on checkpoint files before loading, such as cryptographic signatures or hashes to verify authenticity. Employ sandboxing or containerization to isolate the checkpoint loading process, limiting the potential impact of malicious code execution. Monitor systems for unusual activity related to checkpoint file handling. Educate users and administrators about the risks of loading untrusted files and enforce strict access controls to limit who can load checkpoints. Additionally, consider network segmentation to restrict access to AI training environments and maintain up-to-date endpoint protection to detect exploitation attempts. Engage with NVIDIA security advisories for timely updates and guidance.
Description
NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.