CVE-2026-115920

MediumCVSS 6.2/10Last modified Oct 26, 2026

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.

Metrics

CVSS 3.1 6.2/10CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Weakness enumeration

Affected software

Source: the vendor's advisory (CNA). NVD analysis pending.

VendorProductVersions
onnxonnx>= 1.2.1, < 1.22.0

References

Timeline

Published
Oct 26, 2026
Last modified
Oct 26, 2026
NVD status
Awaiting Analysis

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CVE-2026-115920: Medium severity, CVSS 6.2 | Vulnix