NVIDIA Megatron-LM für alle Plattformen enthält eine Schwachstelle im Skript pretrain_gpt, wobei bösartige Daten, die von einem Angreifer erstellt wurden, zu einem Code-Injection-Problem führen können. Ein erfolgreicher Exploit dieser Schwachstelle

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.

Organizations utilizing NVIDIA Megatron-LM for large language model training, particularly those deploying it in production environments or processing data from untrusted sources, are at significant risk. Environments with limited input validation or inadequate security controls are especially vulnerable. Shared hosting environments where multiple users share the same Megatron-LM instance could also be affected.

• python / script analysis: Inspect the pretrain_gpt script for suspicious code execution or data handling logic. Look for calls to eval() or exec() with untrusted input.

import ast

def analyze_script(script_path):
    with open(script_path, 'r') as f:
        source_code = f.read()
    tree = ast.parse(source_code)
    for node in ast.walk(tree):
        if isinstance(node, (ast.Call, ast.Attribute))
            and hasattr(node, 'func') and hasattr(node.func, 'id') and node.func.id in ('eval', 'exec'):
            print(f"Potential code injection point found: {node.lineno}")

• linux / server: Monitor process execution for unexpected Megatron-LM processes running with elevated privileges. Use ps aux | grep megatron to identify running processes.

ps aux | grep megatron | grep -v grep

• generic web: If Megatron-LM is exposed via a web interface, monitor access logs for unusual requests targeting the pretrain_gpt script or related endpoints.

1. 2025-09-24Disclosure

   disclosure

1. Reserviert2025-01-14
2. Veröffentlicht2025-09-24
3. EPSS aktualisiert2026-03-23

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.