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CVE-2026-28500

Fixed in a distro release EPSS <1%CVSS 8.6

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.

Published 2026-03-18 · CVE record · OSV

Products: onnx, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI (RHOAI)

Fixed upstream

EcosystemPackageFixed in
PyPIonnx1.21.0rc1

Distro releases

ReleasePackageFixed in
Chainguardnemo2.7.2-r1
Chainguardpy3.10-onnx1.21.0-r0
Chainguardpy3.11-onnx1.21.0-r0
Chainguardpy3.12-onnx1.21.0-r0
Chainguardpy3.13-onnx1.21.0-r0
Debian 12onnxno fix
Debian 13onnxno fix
Debian 14onnxno fix
Ubuntu 22.04 LTSonnxno fix
Ubuntu 25.10onnxno fix
Ubuntu 26.04 LTSonnxno fix
Ubuntu 26.10onnxno fix
Ubuntu Pro 24.04 LTSonnxno fix
Wolfipy3.10-onnx1.21.0-r0
Wolfipy3.11-onnx1.21.0-r0
Wolfipy3.12-onnx1.21.0-r0
Wolfipy3.13-onnx1.21.0-r0