CVE-2025-23251: Nvidia Nemo Framework RCE Vulnerability

CVE-2025-23251 Overview

CVE-2025-23251 is a critical code injection vulnerability in the NVIDIA NeMo Framework that enables improper control of code generation through remote code execution. The NVIDIA NeMo Framework, widely used for building conversational AI and large language model applications, contains a flaw that allows attackers to execute arbitrary code remotely without authentication. A successful exploit of this vulnerability could lead to complete code execution and data tampering on affected systems.

Critical Impact

This vulnerability allows unauthenticated remote attackers to execute arbitrary code on systems running vulnerable versions of NVIDIA NeMo Framework, potentially compromising the confidentiality, integrity, and availability of AI/ML workloads and associated data.

Affected Products

• NVIDIA NeMo (all versions prior to patch)
• Apple macOS (when running NeMo Framework)
• Linux Kernel-based systems (when running NeMo Framework)
• Microsoft Windows (when running NeMo Framework)

Discovery Timeline

• 2025-04-22 - CVE-2025-23251 published to NVD
• 2025-09-24 - Last updated in NVD database

Technical Details for CVE-2025-23251

Vulnerability Analysis

This vulnerability is classified as CWE-94 (Improper Control of Generation of Code), commonly referred to as code injection. The flaw exists within the NVIDIA NeMo Framework's handling of user-supplied input, which can be manipulated to inject and execute arbitrary code on the target system. Given the network-accessible attack vector, an unauthenticated remote attacker can exploit this vulnerability without any user interaction required.

The vulnerability is particularly concerning in AI/ML environments where NeMo Framework processes potentially untrusted data from external sources. The framework's code generation capabilities, if improperly controlled, can be abused to execute malicious payloads with the privileges of the NeMo application process.

Root Cause

The root cause stems from improper control of code generation within the NVIDIA NeMo Framework. The application fails to adequately validate or sanitize user-supplied input before using it in code generation operations. This allows attackers to inject malicious code that gets executed in the context of the running application, bypassing intended security controls and application logic boundaries.

Attack Vector

The attack vector for CVE-2025-23251 is network-based, meaning an attacker can exploit this vulnerability remotely without requiring local system access. The exploitation requires no authentication and no user interaction, making it highly exploitable in exposed environments. An attacker could craft malicious requests to the NeMo Framework service that inject code into the application's code generation pipeline, resulting in arbitrary code execution on the underlying host system.

The vulnerability mechanism involves improper validation of input data that flows into code generation routines. When the NeMo Framework processes specially crafted input, it may inadvertently execute attacker-controlled code. For detailed technical information, refer to the NVIDIA Security Advisory.

Detection Methods for CVE-2025-23251

Indicators of Compromise

• Unexpected network connections originating from NeMo Framework processes to external or unknown IP addresses
• Anomalous process spawning from the NeMo application, particularly shell interpreters or scripting engines
• Unusual file system modifications in directories associated with NeMo Framework installations
• Log entries indicating malformed or suspicious input payloads to NeMo API endpoints
• Unexpected system resource utilization by NeMo-related processes

Detection Strategies

• Implement network-based intrusion detection rules to identify suspicious payloads targeting NeMo Framework endpoints
• Deploy application-level logging to capture and analyze input data processed by NeMo Framework
• Monitor process execution chains for anomalous child processes spawned by NeMo application processes
• Utilize endpoint detection and response (EDR) solutions like SentinelOne to detect code injection attempts and unauthorized code execution

Monitoring Recommendations

• Enable verbose logging for NVIDIA NeMo Framework and forward logs to a SIEM for centralized analysis
• Configure network segmentation to isolate NeMo Framework deployments from sensitive internal resources
• Implement real-time alerting for process behavior anomalies associated with AI/ML workloads
• Establish baseline behavior profiles for NeMo Framework processes to detect deviations indicative of compromise

How to Mitigate CVE-2025-23251

Immediate Actions Required

• Review and apply the latest security patches from NVIDIA for the NeMo Framework immediately
• Restrict network access to NeMo Framework services using firewall rules and network segmentation
• Audit all NeMo Framework deployments to identify potentially exposed instances
• Implement input validation and sanitization at application boundaries where external data enters the system
• Consider temporarily disabling external network access to NeMo Framework services until patches are applied

Patch Information

NVIDIA has released security updates to address CVE-2025-23251. Organizations should consult the NVIDIA Security Advisory for detailed patch information, including affected versions and remediation steps. It is critical to update to the patched version of NeMo Framework as soon as possible to mitigate the risk of exploitation.

Workarounds

• Implement network-level access controls to restrict NeMo Framework exposure to trusted sources only
• Deploy a web application firewall (WAF) or API gateway with rules to filter potentially malicious payloads
• Run NeMo Framework in isolated container environments with restricted privileges and network access
• Monitor and limit the capabilities of the NeMo Framework process using security policies or sandboxing technologies

# Example: Network isolation using iptables to restrict access to NeMo Framework
# Allow access only from trusted internal network (adjust IP range as needed)
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP