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-2025-23265 allows an attacker to inject and execute arbitrary code within the Megatron-LM environment. This could lead to complete system compromise, enabling the attacker to steal sensitive training data, modify model parameters, or even gain control of the underlying infrastructure. The potential for privilege escalation is significant, as the attacker could leverage the injected code to gain higher-level access. Data tampering could corrupt the training process, leading to biased or unreliable models. The blast radius extends to any system running vulnerable versions of Megatron-LM, particularly those involved in critical AI model development and deployment.

Organizations heavily invested in large language model training and deployment, particularly those using NVIDIA Megatron-LM for research or production purposes, are at significant risk. This includes AI research labs, cloud providers offering AI services, and companies building custom language models. Those using older, unpatched versions of Megatron-LM are especially vulnerable.

• python / general: Monitor Python processes for unexpected code execution or file modifications. Use tools like ps or top to identify suspicious processes.

ps aux | grep -i megatron

• python / supply-chain: Examine the Megatron-LM installation directory for unauthorized files or modifications. Check for unusual dependencies or imports.

import os
for root, dirs, files in os.walk('/path/to/megatron-lm'):
    for file in files:
        if 'malicious' in file.lower():
            print(f'Suspicious file found: {os.path.join(root, file)}')

• generic web: If Megatron-LM is exposed via a web interface, monitor access logs for unusual file upload attempts or requests to unexpected endpoints.

1. 2025-06-24Disclosure

   disclosure

1. Reserviert2025-01-14
2. Veröffentlicht2025-06-24
3. EPSS aktualisiert2026-03-23

The primary mitigation for CVE-2025-23265 is to immediately upgrade to NVIDIA Megatron-LM version 0.12.0 or later. If upgrading is not immediately feasible, implement strict input validation on all files processed by Megatron-LM. Specifically, sanitize file names and content to prevent the injection of malicious code. Consider using a Web Application Firewall (WAF) to filter potentially harmful file uploads. Regularly review and update the Megatron-LM configuration to minimize the attack surface. After upgrading, verify the fix by attempting to upload a known malicious file and confirming that it is rejected or handled safely.