Vulnerability Description
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.
CVSS Score
MEDIUM
Related Weaknesses (CWE)
References
- https://github.com/onnx/onnx/commit/92e541266af5dd38cfa48aeb92206f4268a066cd
- https://github.com/onnx/onnx/pull/7879
- https://github.com/onnx/onnx/releases/tag/v1.22.0
- https://github.com/onnx/onnx/security/advisories/GHSA-48m4-24cq-37qf
FAQ
What is CVE-2026-115919?
CVE-2026-115919 is a vulnerability with a CVSS score of 6.2 (MEDIUM). Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 thr...
How severe is CVE-2026-115919?
CVE-2026-115919 has been rated MEDIUM with a CVSS base score of 6.2/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-115919?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.