Detections
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SCA: security update for onnx (GHSA-6pwm-x34p-fvj2)

medium Tenable Cloud Security Plugin ID 477768

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - 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. (CVE-2026-115920)

Solution

Update the onnx library and its related packages to version 1.22.0 or later.

See Also

https://github.com/advisories/GHSA-6pwm-x34p-fvj2

Plugin Details

Severity: Medium

ID: 477768

Version: Revision 1.1

Type: Local

Family: SCA Checks

Published: 10/29/2026

Updated: 10/29/2026

Risk Information

VPR

Risk Factor: Medium

Score: 5

Percentile: 92.94

Vendor

Vendor Severity: Medium

CVSS v2

Risk Factor: Medium

Base Score: 4.9

Temporal Score: 3.6

Vector: CVSS2#AV:L/AC:L/Au:N/C:N/I:N/A:C

CVSS Score Source: CVE-2026-115920

CVSS v3

Risk Factor: Medium

Base Score: 6.2

Temporal Score: 5.4

Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Temporal Vector: CVSS:3.0/E:U/RL:O/RC:C

Vulnerability Information

Exploit Ease: No known exploits are available

Patch Publication Date: 10/28/2026

Vulnerability Publication Date: 10/26/2026

Reference Information

CVE: CVE-2026-115920

cwe: CWE-125