NVIDIA NeMo Framework pour toutes les plateformes contient une vulnérabilité dans les composants NLP et LLM, où des données malveillantes créées par un attaquant pourraient provoquer une injection de code. Une exploitation réussie de cette vul

The core of this vulnerability lies in the NLP and LLM components of NeMo Framework. An attacker can craft malicious data that, when processed by the framework, results in code injection. This injection can then be leveraged to execute arbitrary code on the system running the framework. The potential impact is significant, including privilege escalation, allowing an attacker to gain higher-level access. Data disclosure is another serious risk, as an attacker could potentially access sensitive information processed by the framework. Furthermore, the attacker could tamper with data, corrupting models or manipulating outputs. The blast radius extends to any system utilizing vulnerable versions of NeMo Framework for NLP or LLM tasks.

Organizations heavily reliant on NVIDIA NeMo Framework for NLP and LLM tasks, particularly those deploying models in production environments, are at significant risk. Systems utilizing custom data pipelines or integrating NeMo Framework with untrusted data sources are especially vulnerable. Research teams and developers actively experimenting with LLMs using older versions of the framework are also at increased risk.

• python / framework: Monitor for unusual process executions originating from the NeMo Framework directories. Use ps aux | grep nemo to identify running processes and their arguments.

ps aux | grep nemo

• python / framework: Check for unexpected files or modifications within the NeMo Framework installation directory. Use find /path/to/nemo -type f -mtime +1 to identify recently modified files.

find /path/to/nemo -type f -mtime +1

• python / framework: Examine system logs for errors or warnings related to data processing or code execution within the NeMo Framework. Use journalctl -u nemo to view relevant logs.

journalctl -u nemo

1. 2025-11-25Disclosure

   disclosure

1. Réservé2025-04-15
2. Publiée2025-11-25
3. Modifiée2026-02-26
4. EPSS mis à jour2026-03-23

The primary mitigation is to upgrade to NVIDIA NeMo Framework version 2.5.1 or later. If an immediate upgrade is not feasible due to compatibility issues or breaking changes, consider implementing input validation and sanitization on all data processed by the framework. Specifically, carefully scrutinize data sources and implement robust checks to prevent the injection of malicious code. While a direct WAF rule is unlikely to be effective, network segmentation can limit the potential impact of a successful exploit. Monitor system logs for unusual activity, particularly processes attempting to execute code from unexpected locations. After upgrading, confirm the fix by attempting to process known malicious data samples and verifying that code injection is prevented.