The vulnerability of the ensemble_classifer() function in the NVIDIA Megatron-LM training library allows attackers to execute arbitrary code, gain privileges, and disclose sensitive information.

The vulnerability of the ensembleclassifer function in the library for training large language models with NVIDIA Megatron-LM exists due to improper code generation control. Exploiting this vulnerability allows attackers to execute arbitrary code, gain elevated privileges, and expose sensitive...

EUVD-2025-30973

Malicious code in bioql PyPI...

NVIDIA Megatron-LM ensemble_classifer script code injection vulnerability

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. A code injection vulnerability exists in the NVIDIA Megatron-LM ensembleclassifer script, which can be exploited by attackers to cause code execution,...

CVE-2025-23354

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

Arbitrary Code Injection

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Arbitrary Code Injection via the ensembleclassifer script. An attacker can execute arbitrary code, escalate privileges, disclos...

CVE-2025-23354

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

CVE-2025-23354

The CVE-2025-23354 issue affects NVIDIA Megatron-LM, specifically the ensemble_classifer script, with a code injection vulnerability that attacker-supplied data can trigger. The vulnerability may enable code execution, privilege escalation, information disclosure, and data tampering. Affected com...

CVE-2025-23354

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

CVE-2025-23354

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

NVIDIA Megatron-LM 代码注入漏洞

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. A code injection vulnerability exists in the NVIDIA Megatron-LM ensembleclassifer script, which can be exploited by attackers to cause code execution,...

PT-2025-39263

Name of the Vulnerable Software and Affected Versions NVIDIA Megatron-LM affected versions not specified Description The software contains a flaw in the ensemble classifer script that could allow an attacker to inject malicious data. Successful exploitation of this issue may result in code...

Zero-Day Botnet Attack Detection in IoV: a Modular Approach Using Isolation Forests and Particle Swarm Optimization

The Internet of Vehicles IoV is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new security vulnerabilities. Bot malware and cyberattacks pose significant risks to Connected and Autonomous Vehicles CAVs, ...