CVE-2026-115920

ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank

State
Published
Severity
6.2 Medium
Published
Oct 26, 2026
Updated
Oct 26, 2026
Reserved
Oct 23, 2026

Read the record on cve.org

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.

Scores

CVSSScoreVectorSource
3.16.2 MediumCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HGitHub_M

Weaknesses

Affected Products

ProductVersions
onnxonnx
  • >= 1.2.1, < 1.22.0Affected

References

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