CVE-2026-115920
mediumOpen Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
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.
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Affected products
Not reported by the source (unknown — not "none").
Weakness classification (CWE)
Source: NVD / CISA. “NVD-CWE-Other” and “NVD-CWE-noinfo” mean NVD could not assign a specific weakness.
Mitigation & advisories
No vendor advisory or patch reference tagged by NVD. Check the references below.
References
- https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf security-advisories@github.com
- https://github.com/onnx/onnx/pull/7997 security-advisories@github.com
- https://github.com/onnx/onnx/releases/tag/v1.22.0 security-advisories@github.com
- https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2 security-advisories@github.com