CVE-2026-115921

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.

CVSS v3 6.2 MEDIUM

6.2^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 2.5 / Impact : 3.6

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5
https://github.com/onnx/onnx/pull/7916
https://github.com/onnx/onnx/releases/tag/v1.22.0
https://github.com/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr

Configurations

No configuration.

History

26 Oct 2026, 18:17

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-10-26 18:17

Updated : 2026-10-31 02:17

NVD link : CVE-2026-115921

Mitre link : CVE-2026-115921

CVE.ORG link : CVE-2026-115921

JSON object : View

Products Affected

No product.

CWE

CWE-195

Signed to Unsigned Conversion Error

CWE-476

NULL Pointer Dereference

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