๐Ÿ” CVE Alert

CVE-2026-115921

MEDIUM 6.2

ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute

CVSS Score
6.2
EPSS Score
0.0%
EPSS Percentile
0th

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.

CWE CWE-195 CWE-476
Vendor onnx
Product onnx
Published Oct 26, 2026
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CVSS v3 Breakdown

CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Affected Versions

onnx / onnx
>= 1.4.0, < 1.22.0

References

NVD โ†— CVE.org โ†— EPSS Data โ†—
github.com: https://github.com/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr github.com: https://github.com/onnx/onnx/pull/7916 github.com: https://github.com/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5 github.com: https://github.com/onnx/onnx/releases/tag/v1.22.0