{"id":"AZL-96728","summary":"CVE-2026-63632 affecting package pytorch 2.2.2-16","details":"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.","modified":"2026-09-04T05:27:10Z","published":"2026-08-18T15:16:56Z","upstream":["CVE-2026-63632"],"references":[{"type":"WEB","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-63632"}],"affected":[{"package":{"name":"pytorch","ecosystem":"Azure Linux:3","purl":"pkg:rpm/azure-linux/pytorch"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"2.2.2-16"}]}],"database_specific":{"source":"https://github.com/microsoft/AzureLinuxVulnerabilityData/blob/main/osv/AZL-96728.json"}}],"schema_version":"1.9.0"}