CVE-2026-115920
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 1.2.1 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.
125
Out-of-bounds Read
DraftCommon Consequences
Security Scopes Affected:
Confidentiality
Availability
Other
Potential Impacts:
Read Memory
Bypass Protection Mechanism
Dos: Crash, Exit, Or Restart
Varies By Context
Applicable Platforms
Languages:
Memory-Unsafe, C, C++
Technologies:
ICS/OT
https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf
https://github.com/onnx/onnx/pull/7997
https://github.com/onnx/onnx/releases/tag/v1.22.0
https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2