CVE-2025-33245

Vulnerability

Overview

CVE-2025-33245 is a vulnerability in the NVIDIA NeMo Framework, a scalable generative AI framework for researchers and developers working on Large Language Models, Multimodal, and Speech AI. The vulnerability allows malicious data to cause remote code execution [1]. This indicates a flaw in how the framework processes input data, potentially in data loading, preprocessing, or model inference stages.

Exploitation

An attacker can exploit this vulnerability by providing specially crafted malicious data to the NeMo Framework. The attack vector is remote, meaning the attacker does not need physical or logical access to the system [1]. The exact prerequisites are not detailed, but the vulnerability is triggered by data input, suggesting that any component that accepts external data (e.g., model training, inference, or data processing pipelines) could be an attack surface.

Impact

Successful exploitation could lead to code execution, escalation of privileges, information disclosure, and data tampering [1]. This means an attacker could allow an attacker to execute arbitrary code on the affected system, gain higher privileges than intended, access sensitive information, or modify data. The broad impact suggests the vulnerability is critical and could compromise the confidentiality, integrity, and availability of the system.

Mitigation

As of the publication date (2026-02-18), no specific patch or workaround has been detailed in the available references. Users should monitor the NVIDIA NeMo GitHub repository [2] and official NVIDIA security advisories for updates. The NeMo repository has undergone transformations, with the latest stable release available via NGC containers [2]. Users are advised to apply any security updates as soon as they become available.