onnx up to 1.20.x symlink

Summaryinfo

A vulnerability marked as critical has been reported in onnx up to 1.20.x. This issue affects some unknown processing. The manipulation leads to symlink. This vulnerability is listed as CVE-2026-34447. The attack must be carried out locally. There is no available exploit. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in onnx up to 1.20.x. It has been rated as problematic. This issue affects an unknown code. The manipulation with an unknown input leads to a symlink vulnerability. Using CWE to declare the problem leads to CWE-61. The product, when opening a file or directory, does not sufficiently account for when the file is a symbolic link that resolves to a target outside of the intended control sphere. This could allow an attacker to cause the product to operate on unauthorized files. Impacted is confidentiality. The summary by CVE is:

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-34447 since 03/27/2026. The exploitation is known to be easy. Attacking locally is a requirement. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 1.21.0 eliminates this vulnerability.

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Productinfo

Name

• onnx

Version

• 1.0
• 1.1
• 1.2
• 1.3
• 1.4
• 1.5
• 1.6
• 1.7
• 1.8
• 1.9
• 1.10
• 1.11
• 1.12
• 1.13
• 1.14
• 1.15
• 1.16
• 1.17
• 1.18
• 1.19
• 1.20

Website

• Product: https://github.com/onnx/onnx/

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