Summaryinfo

A vulnerability identified as problematic has been detected in onnx up to 1.20.x. This affects an unknown part. Performing a manipulation results in path traversal. This vulnerability is identified as CVE-2026-27489. The attack can be initiated remotely. There is not any exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in onnx up to 1.20.x. It has been classified as problematic. This affects some unknown functionality. The manipulation with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as CWE-23. The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as ".." that can resolve to a location that is outside of that directory. This is going to have an impact on 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, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-27489 since 02/19/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1006 for this issue.

Upgrading to version 1.21.0 eliminates this vulnerability. Applying the patch 4755f8053928dce18a61db8fec71b69c74f786cb is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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

License

• open-source

Website

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

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If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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