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6.2 Medium

CVE-2026-115920 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability

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.

Affected products and versions

Product Affected versions Fixed in
onnx 1.2 1.2.1 → < 1.22.0 1.22.0

References

Timeline

  1. Published
  2. Last modified

Other CVEs of onnx

The 14 CVEs of onnx →
CVE-2026-115922 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-115921 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-115919 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability 6.2 Medium CVE-2026-49114 In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's… 7.1 High
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