Vulnerability Description
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Linuxfoundation | Onnx | < 1.21.0 |
Related Weaknesses (CWE)
References
- https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46bPatch
- https://github.com/onnx/onnx/pull/7751Issue TrackingPatch
- https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9PatchVendor Advisory
FAQ
What is CVE-2026-34445?
CVE-2026-34445 is a vulnerability with a CVSS score of 8.6 (HIGH). Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load...
How severe is CVE-2026-34445?
CVE-2026-34445 has been rated HIGH with a CVSS base score of 8.6/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-34445?
Check the references section above for vendor advisories and patch information. Affected products include: Linuxfoundation Onnx.