CVE-2026-115920

Name	CVE-2026-115920
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.
Source	CVE (at NVD; CERT, ENISA, LWN, oss-sec, fulldisc, Debian ELTS, Red Hat, Ubuntu, Gentoo, SUSE bugzilla/CVE, GitHub advisories/code/issues, web search, more)

Vulnerable and fixed packages

The table below lists information on source packages.

Source Package	Release	Version	Status
onnx (PTS)	bookworm	1.12.0-2	vulnerable
	trixie	1.17.0-3	vulnerable
	forky, sid	1.20.0-6	vulnerable

The information below is based on the following data on fixed versions.

Package	Type	Release	Fixed Version	Urgency	Origin	Debian Bugs
onnx	source	(unstable)	(unfixed)

Notes

https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2
https://github.com/onnx/onnx/pull/7997
Fixed by: https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf (v1.22.0)