CVE-2026-115920

medium

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute by deriving an empty effective_kernel_shape and indexing it for the input's spatial dimensions. The flaw affects convTransposeShapeInference_opset11() and the current inference path, and an untrusted model that can pass onnx.checker.check_model() can crash onnx.shape_inference.infer_shapes(), causing denial of service without demonstrated confidentiality or integrity impact. This issue is fixed in version 1.22.0.

References

https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2

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

https://github.com/onnx/onnx/pull/7997

https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf

https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-110041

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