CVE-2025-23348: Code Injection in NVIDIA Megatron-LM

An attacker exploiting CVE-2025-23348 could execute arbitrary code within the context of the Megatron-LM process. This could lead to complete system compromise, including data exfiltration, modification, and denial of service. The potential for privilege escalation is significant, allowing an attacker to gain control over the underlying system. Given Megatron-LM's use in training large language models, the vulnerability could also be leveraged to poison training data, leading to biased or malicious model outputs. The blast radius extends to any system running a vulnerable version of Megatron-LM and processing attacker-controlled data.

1. Reserved2025-01-14
2. Published2025-09-24
3. EPSS updated2026-03-23

The primary mitigation for CVE-2025-23348 is to upgrade to NVIDIA Megatron-LM version 0.13.1 or later. If upgrading immediately is not feasible, carefully scrutinize all input data provided to the pretrain_gpt script. Implement robust input validation and sanitization to prevent the injection of malicious code. Consider using a Web Application Firewall (WAF) to filter potentially malicious requests. Monitor system logs for unusual activity or code execution patterns. After upgrading, confirm the fix by attempting to reproduce the vulnerability with known malicious input and verifying that it is no longer exploitable.