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CVE-2026-115921 Details

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs attribute. A missing attribute is dereferenced as a null pointer, while a negative value is converted to size_t and can reach an exceptional oversized allocation path. An untrusted model can therefore terminate or disrupt shape inference, including a negative-value model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

Metrics

CVSS 3.x Severity and Vector Strings:

CNA: [email protected]CVSS-B:6.2 MEDIUMVector:CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References to Advisories, Solutions, and Tools

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URL	Source(s)	Tag(s)
https://github.com/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5	[email protected]
https://github.com/onnx/onnx/pull/7916	[email protected]
https://github.com/onnx/onnx/releases/tag/v1.22.0	[email protected]
https://github.com/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr	[email protected]

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-195	Signed to Unsigned Conversion Error	[email protected]
CWE-476	NULL Pointer Dereference	[email protected]

Affected Products

No affected product data is available for this CVE.

Change History

2 change records found show changes

Date	Action	Recorded By
Oct 31, 2026	CVE Modified	CISA-ADP
Oct 26, 2026	New CVE Received	[email protected]