{"id":85816,"date":"2025-11-11T18:15:07","date_gmt":"2025-11-11T18:15:07","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"cve-2025-23349-nvidia-megatron-lm-vulnerability-enabling-code-injection-and-privilege-escalation","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-23349-nvidia-megatron-lm-vulnerability-enabling-code-injection-and-privilege-escalation\/","title":{"rendered":"CVE-2025-23349: NVIDIA Megatron-LM Vulnerability Enabling Code Injection and Privilege Escalation<\/strong>"},"content":{"rendered":"

Overview<\/strong><\/p>\n

CVE-2025-23349 is a significant cybersecurity vulnerability affecting NVIDIA’s Megatron-LM across all platforms. This flaw resides in the tasks\/orqa\/unsupervised\/nq.py component, and if exploited, it could lead to severe consequences including code execution, privilege escalation, information disclosure, and data tampering. As a result, this vulnerability could potentially compromise systems or lead to data leakage, posing a serious threat to any organization using the affected platform.<\/p>\n

Vulnerability Summary<\/strong><\/p>\n

CVE ID: CVE-2025-23349
\nSeverity: High (7.8 CVSS Score)
\nAttack Vector: Network
\nPrivileges Required: Low
\nUser Interaction: None
\nImpact: Code execution, privilege escalation, information disclosure, and data tampering leading to potential system compromise or data leakage.<\/p>\n

Affected Products<\/strong><\/p>\n

Product | Affected Versions<\/p>\n

NVIDIA Megatron-LM | All versions<\/p>\n

How the Exploit Works<\/strong><\/p>\n

The vulnerability exists due to improper input validation in the tasks\/orqa\/unsupervised\/nq.py component of the NVIDIA Megatron-LM. An attacker can exploit this flaw by injecting malicious code into the system, which the software then executes. This can lead to unauthorized access, including privilege escalation, allowing the attacker to access sensitive information or modify system data.<\/p>\n

Conceptual Example Code<\/strong><\/p>\n

The below pseudocode is a conceptual illustration of how the vulnerability might be exploited:<\/p>\n

def exploit(target_url):\nmalicious_payload = \"{code to be injected}\"\nrequest = 'POST ' + target_url + '\/nq.py HTTP\/1.1\\n'\nrequest += 'Host: ' + target_url + '\\n'\nrequest += 'Content-Type: application\/python\\n\\n'\nrequest += malicious_payload\nsend_request(request)<\/code><\/pre>\n
In this example, a malicious POST request is created and sent to the vulnerable endpoint, allowing the attacker to inject and execute malicious code.<\/p>\n
Mitigation Guidance<\/strong><\/p>\n
Users are strongly advised to apply the vendor’s patch as soon as it is available to mitigate this vulnerability. In the interim, the use of a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation by monitoring and potentially blocking malicious traffic.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview CVE-2025-23349 is a significant cybersecurity vulnerability affecting NVIDIA’s Megatron-LM across all platforms. This flaw resides in the tasks\/orqa\/unsupervised\/nq.py component, and if exploited, it could lead to severe consequences including code execution, privilege escalation, information disclosure, and data tampering. As a result, this vulnerability could potentially compromise systems or lead to data leakage, posing a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[],"tags":[],"vendor":[],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-85816","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t