A AegiFlow
MEDIUMCVSS 6.2EPSS 0.2%

CVE-2026-115919

CVE-2026-115919 updated by NVD

Published
2026-10-28
Modified
2026-10-28
EPSS percentile
7%
Sources
github-advisory, nvd

Summary

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 packages

EcosystemPackageAffected versionsFixed versions
PyPIonnx—1.22.0

Remediation: Upgrade to 1.22.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.