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Megatron-LM

NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering.

CVE-2026-24149 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code), specifically a code injection flaw found in NVIDIA's Megatron-LM, a large language model training framework. The vulnerability exists in a script component of Megatron-LM across all platforms, where insufficient validation or sanitization of attacker-controlled input allows malicious data to be interpreted as executable code. This flaw enables an attacker with local access and low privileges to execute arbitrary code within the context of the Megatron-LM process. The vulnerability does not require user interaction and can lead to a chain of severe consequences including escalation of privileges, unauthorized disclosure of sensitive information, and tampering with data integrity. The CVSS v3.1 score of 7.8 reflects a high severity, with attack vector being local (AV:L), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), and impacting confidentiality, integrity, and availability to a high degree (C:H/I:H/A:H). Although no exploits have been reported in the wild, the potential impact on AI workloads and data confidentiality is significant. The lack of available patches at the time of publication necessitates immediate risk mitigation and monitoring by affected organizations.

Detailed information about CVE-2026-24149: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM affecting NVIDIA Megatron-LM. 

CVE-2026-24149: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM - Live Threat Intelligence - Threat Radar | OffSeq.com

CVE-2026-24149: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM

CVE-2025-23357 is a code injection vulnerability classified under CWE-94 affecting NVIDIA's Megatron-LM, a large language model training framework. The flaw exists in a script component where maliciously crafted input data can be injected and executed as code. This improper control over code generation allows an attacker with local access and low privileges to execute arbitrary code on the host system. The vulnerability does not require user interaction, increasing its risk profile. Exploitation can lead to severe consequences including escalation of privileges, unauthorized disclosure of sensitive information, and tampering with data integrity and availability. The CVSS v3.1 score of 7.8 reflects high severity, with attack vector local (AV:L), low attack complexity (AC:L), privileges required (PR:L), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Although no exploits have been reported in the wild, the vulnerability demands urgent attention due to the critical nature of the affected systems. Megatron-LM is widely used in AI research and development environments, making the vulnerability particularly relevant to organizations deploying AI workloads. The lack of available patches at the time of reporting necessitates immediate mitigation through access controls and input validation until an official fix is released.

Detailed information about CVE-2025-23357: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM affecting NVIDIA Megatron-LM. 

CVE-2025-23357: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM - Live Threat Intelligence - Threat Radar | OffSeq.com

CVE-2025-23357: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LM


CVE-2026-24149: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LMCVE-2026-24149 0 NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering. HighVulnerabilityGermanyFranceUnited Kingdom+3#cve #cve-2026-24149 #cwe-94 Join the discussion	CVE Database V5	02/03/2026, 19:55:41 UTC Added: 02/03/2026, 20:15:10 UTC
CVE-2025-23357: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA Megatron-LMCVE-2025-23357 0 NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering. HighVulnerabilityGermanyFranceUnited Kingdom+3#cve #cve-2025-23357 #cwe-94 Join the discussion	CVE Database V5	11/11/2025, 16:17:18 UTC Added: 11/11/2025, 16:21:56 UTC

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