CVE-2025-33247

7.8

NVIDIA · Megatron LM

NVIDIA Megatron LM is vulnerable to deserialization of untrusted data during quantization configuration loading, which could allow for remote code execution.

Executive summary

A critical deserialization vulnerability in NVIDIA Megatron LM allows for remote code execution, privilege escalation, and potential data tampering.

Vulnerability

The software fails to properly sanitize input during quantization configuration loading, leading to CWE-502 (Deserialization of Untrusted Data). The CVSS vector indicates that this requires local access with low privileges to trigger, though the resulting impact on system integrity and availability is total.

Business impact

The ability for an attacker to achieve remote code execution poses a severe risk to the confidentiality, integrity, and availability of affected systems. With a CVSS score of 7.8, this high-severity flaw could lead to full system compromise, unauthorized data access, and the potential for lateral movement within the network. Organizations relying on Megatron LM for model training or inference must prioritize mitigation to prevent significant operational disruption or intellectual property theft.

Remediation

Immediate Action: Upgrade all instances of NVIDIA Megatron LM to version 0.15.3 or later to incorporate the vendor-supplied security patch.

Proactive Monitoring: Review system logs for unusual process execution patterns or unauthorized configuration changes that may indicate exploitation attempts.

Compensating Controls: Restrict access to the environment where Megatron LM is deployed, ensuring that only trusted users have the low-level privileges required to trigger the vulnerable configuration loading process.

Exploitation status

Public Exploit Available: No (exploit_available: false)

Analyst recommendation

Given the potential for remote code execution and full system compromise, administrators should treat this vulnerability with high priority. Apply the update to version 0.15.3 immediately to eliminate the underlying deserialization flaw and protect your infrastructure from potential exploitation.

More NVIDIA CVEs

Sources