CVE-2025-23313 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code) found in the NVIDIA NeMo Framework, a widely used toolkit for building conversational AI and natural language processing (NLP) models. The flaw exists in the NLP component of the framework across all platforms and affects all versions prior to 2.4.0. The vulnerability allows an attacker to craft malicious input data that, when processed by the vulnerable NeMo NLP component, leads to code injection. This means the attacker can inject and execute arbitrary code within the context of the application using the framework. The CVSS v3.1 score of 7.8 reflects a high severity, with attack vector being local (AV:L), requiring low attack complexity (AC:L), and low privileges (PR:L), but no user interaction (UI:N). The impact includes full compromise of confidentiality, integrity, and availability (C:H/I:H/A:H), enabling code execution, privilege escalation, information disclosure, and data tampering. Although no known exploits have been reported in the wild, the vulnerability's nature and severity make it a critical concern for organizations relying on NeMo for NLP workloads. The root cause is improper sanitization or control over dynamically generated code based on input data, a common risk in frameworks that compile or interpret code snippets or templates dynamically. The vulnerability was reserved in January 2025 and published in August 2025, with no patch links currently available, indicating that remediation is pending or forthcoming in version 2.4.0 or later.

The impact of CVE-2025-23313 is significant for organizations using the NVIDIA NeMo Framework, particularly those processing untrusted or user-generated data in NLP applications. Successful exploitation can lead to arbitrary code execution, allowing attackers to run malicious payloads on affected systems. This can result in privilege escalation, enabling attackers to gain higher-level access than initially permitted. Confidential data processed or stored by the NLP models can be disclosed or altered, undermining data integrity and confidentiality. The availability of the affected systems can also be compromised through data tampering or destructive payloads. Given the framework's use in AI research, enterprise AI deployments, and cloud-based NLP services, the vulnerability could disrupt critical business operations, intellectual property, and customer data security. The requirement for local access with low privileges limits remote exploitation but does not eliminate risk, especially in multi-tenant environments, shared workstations, or compromised internal networks. The absence of known exploits in the wild suggests limited current active exploitation but also highlights the need for proactive mitigation before attackers develop weaponized exploits.

To mitigate CVE-2025-23313, organizations should prioritize upgrading the NVIDIA NeMo Framework to version 2.4.0 or later once the patch is released, as this will contain the official fix for the code injection vulnerability. Until the patch is available, organizations should restrict access to systems running NeMo to trusted users only, minimizing the risk of local exploitation. Implement strict input validation and sanitization on all data fed into the NLP components to prevent malicious code injection vectors. Employ sandboxing or containerization techniques to isolate the NeMo runtime environment, limiting the potential impact of any successful exploit. Monitor system logs and behavior for unusual activity indicative of code injection attempts or privilege escalation. Conduct regular security assessments and penetration testing focused on the NLP pipeline. Additionally, enforce the principle of least privilege for users and processes interacting with NeMo to reduce the attack surface. Finally, maintain up-to-date threat intelligence to respond quickly if exploits emerge in the wild.