NVIDIA NeMo Framework Vulnerability Allows Remote Code Execution
A deserialization vulnerability in NVIDIA's NeMo Framework, tracked as CVE-2026-24157, permits remote attackers to execute arbitrary code with user interaction.
A critical vulnerability has been identified in NVIDIA's NeMo Framework, a platform designed for building and training AI models. The flaw, cataloged as CVE-2026-24157, resides within the framework's handling of checkpoint files, allowing for the deserialization of untrusted data. This oversight enables remote attackers to execute arbitrary code on affected installations.
The vulnerability's mechanism relies on the improper validation of user-supplied data during the checkpoint parsing process. By crafting a malicious checkpoint file, an attacker can trick a user into interacting with it, such as opening it within the NeMo Framework. Successful exploitation allows the attacker to execute code with the same privileges as the running NeMo process, posing a significant security risk.
The Common Vulnerability Scoring System (CVSS) has assigned this vulnerability a score of 7.8, classifying it as High severity. This score reflects the potential for widespread impact and the ease with which it can be exploited, especially given the requirement for user interaction, which can often be achieved through social engineering tactics like phishing or by tricking users into downloading and opening malicious files.
NVIDIA has acknowledged the vulnerability and has released a security update to address it. Users of the NVIDIA NeMo Framework are strongly advised to apply the patch as soon as possible to mitigate the risk of exploitation. Further details on the update and its deployment can be found on NVIDIA's official support website.
The vulnerability was initially reported to NVIDIA by Michael DePlante of TrendAI Zero Day Initiative on February 5, 2026. The coordinated public release of the advisory occurred on July 15, 2026, marking the date when the details became widely known, allowing defenders to prepare and attackers to potentially develop exploits.
This discovery highlights the ongoing security challenges in the rapidly evolving field of artificial intelligence development. As AI frameworks become more complex and integrated into critical infrastructure, the potential attack surface expands, necessitating robust security practices and prompt patching of discovered vulnerabilities. The deserialization flaw is a common type of vulnerability that can lead to severe consequences if not properly handled.
While the vulnerability requires user interaction, the potential impact of remote code execution cannot be understated. It could lead to the compromise of sensitive AI models, data exfiltration, or the use of the affected systems for further malicious activities. Organizations utilizing NVIDIA's NeMo Framework should prioritize updating their installations to the latest secure version provided by NVIDIA.
This advisory, ZDI-26-410, details a deserialization vulnerability in NVIDIA NeMo Framework, identified as CVE-2026-24228. The vulnerability allows for remote code execution when a user interacts with a malicious page or file, and carries a CVSS score of 7.8. NVIDIA has released an update to address this specific flaw.