Insufficient Verification of Data Authenticity The advisory has been revoked - it doesn't affect any version of package onnx (opens in a new tab)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-UBUNTU2510-ONNX-15699717
- published11 Jun 2026
- disclosed18 Mar 2026
Introduced: 18 Mar 2026
CVE-2026-28500 (opens in a new tab)Amendment
The Ubuntu security team deemed this advisory irrelevant for Ubuntu:25.10.
NVD Description
Note: Versions mentioned in the description apply only to the upstream onnx package and not the onnx package as distributed by Ubuntu.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.