CVE-2026-115919

medium

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.

References

https://github.com/onnx/onnx/security/advisories/GHSA-48m4-24cq-37qf

https://github.com/onnx/onnx/releases/tag/v1.22.0

https://github.com/onnx/onnx/pull/7879

https://github.com/onnx/onnx/commit/92e541266af5dd38cfa48aeb92206f4268a066cd

https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-110040

Details

Source: Mitre, NVD

Published: 2026-10-26

Updated: 2026-10-26

Risk Information

CVSS v2

Base Score: 4.9

Vector: CVSS2#AV:L/AC:L/Au:N/C:N/I:N/A:C

Severity: Medium

CVSS v3

Base Score: 6.2

Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Severity: Medium

EPSS

EPSS: 0.00178