CVE-2026-115921
MEDIUM
6,2
Source: [email protected]
Attack Vector: local
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: none
Integrity: none
Availability: high
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.
195
Signed to Unsigned Conversion Error
DraftCommon Consequences
Security Scopes Affected:
Integrity
Potential Impacts:
Unexpected State
Applicable Platforms
Languages:
C, C++
476
NULL Pointer Dereference
StableCommon Consequences
Security Scopes Affected:
Availability
Integrity
Confidentiality
Potential Impacts:
Dos: Crash, Exit, Or Restart
Execute Unauthorized Code Or Commands
Read Memory
Modify Memory
Applicable Platforms
Languages:
C, C++, Java, C#, Go
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