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.
Fix
Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.
Change history 6
- StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 19:34
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 20:17
- StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 17:24
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 18:34
- StatusReceived → PublishedNVD modified 2026-10-26 17:24
- First seenCVSS 6.2NVD modified 2026-10-26 18:17
Affected (CPE criteria) 0
NVD has not attached CPE configurations yet.