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6.2 Medium

CVE-2026-115919 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability

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.

Affected products and versions

Product Affected versions Fixed in
onnx 1.22 earliest → < 1.22.0 1.22.0

References

Timeline

  1. Published
  2. Last modified

Other CVEs of onnx

The 14 CVEs of onnx →
CVE-2026-115922 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-115921 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-115920 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-49114 In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's… 7.1 High
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