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Vulnerability record/PUBLISHED/Published Oct 26, 2026 17:26:40 UTC

CVE-2026-115920

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.

Base score6.2/ 10
SeverityMediumCVSS 3.1

Exploitability / impact

CVSS metric breakdown

Vector-derived attributes
Base severityMedium
Attack vectorLocalAV
Attack complexityLowAC
Privileges requiredNonePR
User interactionNoneUI
ScopeUnchangedS
Confidentiality impactNoneC
Integrity impactNoneI
Availability impactHighA
CVSS vector stringCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS communicates standardized severity and impact characteristics. It does not establish whether a system is exploitable in your specific environment.

Record context

CVE Numbering AuthorityGitHub_M
Last updatedOct 26, 2026 19:48:35 UTC
PublishedOct 26, 2026 17:26:40 UTC
ReservedOct 23, 2026 20:21:45 UTC