NVIDIA Megatron-LM सभी प्लेटफॉर्म के लिए एक भेद्यता रखता है, जिसमें टूल्स घटक में एक भेद्यता है, जहाँ एक हमलावर कोड इंजेक्शन समस्या का फायदा उठा सकता है। इस भेद्यता का सफल शोषण कोड

The code injection vulnerability in NVIDIA Megatron-LM allows an attacker to inject and execute malicious code within the affected system. This could manifest in several ways, including gaining unauthorized access to sensitive data, modifying system configurations, or even taking complete control of the machine. The potential for privilege escalation is significant, allowing an attacker to move laterally within the network if the Megatron-LM instance has sufficient permissions. The blast radius extends to any data processed or stored by the Megatron-LM instance, potentially impacting machine learning models, training datasets, and associated infrastructure. While no direct precedent exists for this specific vulnerability, code injection vulnerabilities generally carry a high risk profile due to their potential for widespread impact.

Organizations utilizing NVIDIA Megatron-LM for machine learning research and development are at risk. This includes those deploying Megatron-LM in cloud environments, on-premise servers, or within containerized deployments. Specifically, those using older, unpatched versions of Megatron-LM are particularly vulnerable.

• python / supply-chain:

import os
import subprocess

def check_megatron_version():
    try:
        result = subprocess.check_output(['python', '-c', 'import megatron_lm; print(megatron_lm.__version__)'], stderr=subprocess.STDOUT)
        version = result.decode('utf-8').strip()
        if version and version.startswith('0.12'):
            print('Megatron-LM version is patched.')
        else:
            print(f'Vulnerable version detected: {version}')
    except FileNotFoundError:
        print('Megatron-LM not found.')
    except subprocess.CalledProcessError as e:
        print(f'Error checking version: {e}')

check_megatron_version()

• generic web: Check for unusual file uploads or execution attempts targeting the tools component. Monitor access logs for suspicious patterns.

1. 2025-08-13Disclosure

   disclosure

1. आरक्षित2025-01-14
2. प्रकाशित2025-08-13
3. EPSS अद्यतन2026-03-23

The primary mitigation for CVE-2025-23305 is to immediately upgrade NVIDIA Megatron-LM to version 0.12.2 or later. If upgrading is not immediately feasible due to compatibility concerns or testing requirements, consider implementing stricter input validation and sanitization within the tools component to prevent malicious code from being injected. Review and restrict access permissions for the Megatron-LM instance to limit the potential impact of a successful exploit. Network segmentation can also help contain the blast radius. There are no specific WAF or proxy rules that can directly address this vulnerability, as it stems from code execution within the application itself.