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.
Metrics
Affected Vendors & Products
Advisories
| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-p893-rvq9-2xf9 | ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape |
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
Tue, 18 Aug 2026 15:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | 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. | |
| Title | ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape | |
| Weaknesses | CWE-125 | |
| References |
| |
| Metrics |
cvssV3_1
|
Projects
Sign in to view the affected projects.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-08-18T14:55:15.923Z
Reserved: 2026-07-17T14:11:15.482Z
Link: CVE-2026-63632
No data.
Status : Received
Published: 2026-08-18T15:16:56.463
Modified: 2026-08-18T15:16:56.463
Link: CVE-2026-63632
No data.
OpenCVE Enrichment
No data.
Weaknesses
Github GHSA