CVE-2025-33250: NVIDIA NeMo Framework RCE Vulnerability

CVE-2025-33250 Overview

NVIDIA NeMo Framework contains a code injection vulnerability (CWE-94) where an attacker could achieve remote code execution. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. The NeMo Framework is widely used for building and training AI models, making this vulnerability particularly concerning for organizations leveraging NVIDIA's AI development tools.

Critical Impact

Successful exploitation enables attackers to execute arbitrary code, potentially compromising the integrity and confidentiality of AI/ML training pipelines and underlying infrastructure.

Affected Products

• NVIDIA NeMo Framework (specific versions not disclosed in advisory)

Discovery Timeline

• 2026-02-18 - CVE CVE-2025-33250 published to NVD
• 2026-02-18 - Last updated in NVD database

Technical Details for CVE-2025-33250

Vulnerability Analysis

This vulnerability is classified as Code Injection (CWE-94), which occurs when an application fails to properly validate, filter, or sanitize user-controllable input before incorporating it into code that is subsequently executed. In the context of NVIDIA NeMo Framework, this flaw could allow attackers to inject and execute malicious code within the framework's execution environment.

The local attack vector indicates that exploitation requires the attacker to have some level of local access to the system running the NeMo Framework. Once initial access is obtained, an attacker with low privileges can exploit this vulnerability without any user interaction. The potential impacts span the full security triad—confidentiality, integrity, and availability—making this a serious concern for AI/ML environments.

Root Cause

The root cause of this vulnerability lies in improper code generation control (CWE-94: Improper Control of Generation of Code). The NeMo Framework likely processes certain inputs or configuration data in a way that allows arbitrary code to be constructed and executed. This typically occurs when user-supplied data is passed to evaluation functions, interpreted as code, or used in dynamic code generation without proper sanitization or sandboxing.

Attack Vector

The attack vector is local, meaning an attacker needs access to the target system to exploit this vulnerability. The exploitation path likely involves:

1. Gaining initial access to a system where NVIDIA NeMo Framework is installed
2. Crafting malicious input that exploits the code injection vulnerability
3. Triggering the vulnerable code path to execute the injected payload
4. Achieving arbitrary code execution with the privileges of the NeMo Framework process

This could lead to unauthorized data access, manipulation of AI model training processes, or further lateral movement within the environment.

Detection Methods for CVE-2025-33250

Indicators of Compromise

• Unexpected process spawning from NeMo Framework components
• Unusual system calls or network connections originating from Python/AI training processes
• Modifications to NeMo Framework configuration files or model artifacts
• Anomalous file system activity in NeMo workspace directories

Detection Strategies

• Monitor for suspicious code execution patterns in environments running NVIDIA NeMo Framework
• Implement application-level logging to track input processing and code evaluation operations
• Deploy endpoint detection and response (EDR) solutions to identify code injection attempts
• Review audit logs for unauthorized access attempts to NeMo Framework installations

Monitoring Recommendations

• Enable verbose logging for NVIDIA NeMo Framework operations
• Implement file integrity monitoring on NeMo installation directories and configuration files
• Monitor for privilege escalation attempts following NeMo Framework process execution
• Establish baseline behavior for AI/ML training workloads to detect anomalies

How to Mitigate CVE-2025-33250

Immediate Actions Required

• Review the NVIDIA Support Advisory for specific patch information
• Inventory all systems running NVIDIA NeMo Framework in your environment
• Restrict local access to systems hosting NeMo Framework to authorized personnel only
• Implement network segmentation for AI/ML training infrastructure

Patch Information

NVIDIA has released security guidance for this vulnerability. Organizations should consult the NVIDIA Support Answer for official patch availability and version update instructions. Apply the latest security updates as soon as they become available.

For additional technical details, refer to the NVD CVE-2025-33250 Details page.

Workarounds

• Limit local access to systems running NVIDIA NeMo Framework using role-based access controls
• Implement strict input validation for any external data processed by NeMo Framework
• Run NeMo Framework in isolated containerized environments with restricted privileges
• Monitor and audit all user activities on systems hosting AI/ML workloads