EXECUTIVE SUMMARY:
Multiple security vulnerabilities have been identified in NVIDIA's NeMo Framework, versions 0.0 through 2.7.2. The flaws comprise code injection, OS command injection, and unsafe deserialization, each enabling remote code execution, privilege escalation, information disclosure, and data tampering. Because the vulnerabilities require only low‑privileged local access, an attacker who gains a foothold on a shared training server can leverage them to execute arbitrary commands, compromise confidential AI models, and manipulate pipeline outputs. The impact spans loss of intellectual property, service disruption, and regulatory exposure for organizations that rely on NeMo for generative AI workloads.[/subscribe_to_unlock_form]
EXECUTIVE SUMMARY:
Multiple security vulnerabilities have been identified in NVIDIA's NeMo Framework, versions 0.0 through 2.7.2. The flaws comprise code injection, OS command injection, and unsafe deserialization, each enabling remote code execution, privilege escalation, information disclosure, and data tampering. Because the vulnerabilities require only low‑privileged local access, an attacker who gains a foothold on a shared training server can leverage them to execute arbitrary commands, compromise confidential AI models, and manipulate pipeline outputs. The impact spans loss of intellectual property, service disruption, and regulatory exposure for organizations that rely on NeMo for generative AI workloads.[emaillocker id="1283"]
These vulnerabilities collectively present a high‑severity risk to any organization running NeMo, as an attacker with minimal access can gain full control of AI training environments. Exploitation could result in loss of proprietary models, service outages, and compliance breaches, making rapid remediation essential.
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The following reports contain further technical details:
https://securityonline.info/nvidia-nemo-vulnerabilities/