NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulne

Successful exploitation of CVE-2025-23264 allows an attacker to inject and execute arbitrary code within the Megatron-LM environment. This could result in complete system compromise, including unauthorized access to sensitive training data, modification of model parameters, and even the deployment of malicious models. The potential for privilege escalation is significant, as the attacker could gain control over the underlying system running Megatron-LM. Data tampering could also occur, leading to inaccurate or biased model outputs. The blast radius extends to any system utilizing vulnerable versions of Megatron-LM for training or inference.

Organizations and researchers utilizing NVIDIA Megatron-LM for large language model training, particularly those running older versions (prior to 0.12.0) in production environments, are at risk. This includes cloud providers offering Megatron-LM as a service and research institutions using the framework for AI development.

• python / server:

import os
import hashlib

def check_file_integrity(filepath):
    """Calculates the SHA256 hash of a file and compares it to a known good hash."""
    try:
        with open(filepath, 'rb') as f:
            file_hash = hashlib.sha256(f.read()).hexdigest()
        # Replace with the known good hash for the file
        expected_hash = 'your_expected_hash_here'
        return file_hash == expected_hash
    except FileNotFoundError:
        return False

# Example usage:
filepath = '/path/to/megatron_lm/python_component.py'
if check_file_integrity(filepath):
    print(f'File {filepath} integrity is OK.')
else:
    print(f'File {filepath} integrity is compromised!')

• generic web:

curl -I http://your-megatron-lm-endpoint/ | grep -i 'content-type' # Check for unexpected content types in file uploads

1. 2025-06-24Disclosure

   disclosure

2. 2025-06-24Patch

   patch

1. Gereserveerd2025-01-14
2. Gepubliceerd2025-06-24
3. EPSS bijgewerkt2026-03-23

The primary mitigation for CVE-2025-23264 is to upgrade to NVIDIA Megatron-LM version 0.12.0 or later. If an immediate upgrade is not feasible, carefully scrutinize all file inputs to the Megatron-LM framework. Implement strict input validation and sanitization routines to prevent the execution of malicious code. Consider using a Web Application Firewall (WAF) to filter potentially harmful file uploads. While a direct detection signature is difficult to create, monitor system logs for unusual process execution or file modifications related to the Megatron-LM installation directory. After upgrading, confirm the fix by attempting to trigger the vulnerability with a known malicious file and verifying that it is blocked.