Vulnerability 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.
CVSS Score
LOW
Related Weaknesses (CWE)
References
- https://github.com/onnx/onnx/commit/e9c74f596eaa0250f89e52a54160a25bbcb25b66
- https://github.com/onnx/onnx/pull/7880
- https://github.com/onnx/onnx/releases/tag/v1.22.0
- https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9
- https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9
FAQ
What is CVE-2026-63632?
CVE-2026-63632 is a vulnerability with a CVSS score of 3.3 (LOW). 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 Ge...
How severe is CVE-2026-63632?
CVE-2026-63632 has been rated LOW with a CVSS base score of 3.3/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-63632?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.