CVE-2026-63632
Published:August 18, 2026
Updated:September 23, 2026
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.version_converter.convert_version() can perform an out-of-bounds read in Gemm_7_6::adapt_gemm_7_6() in onnx/version_converter/adapters/gemm_7_6.h when a Gemm node has input tensors with fewer than two dimensions because B_shape[1], A_shape[0], or A_shape[1] is accessed without a rank check, potentially causing a process crash during an opset 7 to 6 downgrade. This issue is fixed in version 1.22.0.
Affected Packages
onnx (CONDA):
Affected version(s) >=1.3.0 <1.22.0Fix Suggestion:
Update to version 1.22.0https://github.com/onnx/onnx.git (GITHUB):
Affected version(s) >=v1.3.0 <v1.22.0Fix Suggestion:
Update to version v1.22.0onnx (PYTHON):
Affected version(s) >=1.3.0 <1.22.0Fix Suggestion:
Update to version 1.22.0Related Resources (9)
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Contact UsCVSS v4
Base Score:
4.8
Attack Vector
LOCAL
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
PASSIVE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
3.3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
Weakness Type (CWE)
Out-of-bounds Read
EPSS
Base Score:
0.23