Insufficient verification of data authenticity in onnx - CVE-2026-28500

 

Insufficient verification of data authenticity in onnx - CVE-2026-28500

Published: April 27, 2026


Vulnerability identifier: #VU128168
CSH Severity: Medium
CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:U/U:Green
CVE-ID: CVE-2026-28500
CWE-ID: CWE-345
Exploitation vector: Remote access
Exploit availability: No public exploit available
Vendor: Open Neural Network Exchange
Affected software:
onnx

Detailed vulnerability description

The vulnerability allows a remote attacker to execute arbitrary code.

The vulnerability exists due to insufficient verification of data authenticity in onnx.hub.load() when loading a model from an external repository with silent=true. A remote attacker can supply a malicious unverified repository to execute arbitrary code.

The issue suppresses trust warnings and user prompts, and the SHA256 check validates against a manifest stored in the same repository.


How to mitigate CVE-2026-28500

Install security update from vendor's website.

Sources