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VulnerabilityPublished

CVE-2026-24141: NVIDIA Model Optimizer · Deserialization of Untrusted Data

Affects NVIDIA Model OptimizerSource CVE Database V5

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Not known to be exploited · CVSS 7.8 High · patch available : patch NVIDIA Model Optimizer soon.

Data as of 30 Oct 2026, 06:59 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 11% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 24 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
NVIDIANVIDIA Model OptimizerAffected
  • =All versions prior to 0.41.0
Fixed in–

AI-suggested

To mitigate CVE-2026-24141, organizations should: 1) Upgrade NVIDIA Model Optimizer to version 0.41.0 or later as soon as the patch is released. 2) Restrict access to systems running Model Optimizer to trusted users only, minimizing the risk of malicious input files. 3) Implement strict input validation and sanitization for all files processed by the Model Optimizer, especially those related to ONNX quantization. 4) Employ application whitelisting and endpoint protection to detect and block suspicious activities resulting from exploitation attempts. 5) Monitor logs and system behavior for anomalies indicative of deserialization attacks or privilege escalation. 6) Educate users about the risks of opening untrusted files and enforce policies to prevent execution of unverified inputs. 7) Consider isolating AI model optimization environments within secure containers or virtual machines to limit the blast radius of potential exploits. 8) Maintain up-to-date backups of critical AI models and data to enable recovery in case of tampering.

Description

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.

References

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