A AegiFlow
MEDIUMCVSS 6.2EPSS 0.2%

CVE-2026-115920

CVE-2026-115920 updated by NVD

Published
2026-10-28
Modified
2026-10-28
EPSS percentile
7%
Sources
github-advisory, nvd

Summary

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 packages

EcosystemPackageAffected versionsFixed versions
PyPIonnx—1.22.0

Remediation: Upgrade to 1.22.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.