{"dataType":"CVE_RECORD","dataVersion":"5.2","cveMetadata":{"cveId":"CVE-2026-63632","assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","state":"PUBLISHED","assignerShortName":"GitHub_M","dateReserved":"2026-07-17T14:11:15.482Z","datePublished":"2026-08-18T14:55:15.923Z","dateUpdated":"2026-08-18T18:51:29.068Z"},"containers":{"cna":{"title":"ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape","problemTypes":[{"descriptions":[{"cweId":"CWE-125","lang":"en","description":"CWE-125: Out-of-bounds Read","type":"CWE"}]}],"metrics":[{"cvssV3_1":{"attackComplexity":"LOW","attackVector":"LOCAL","availabilityImpact":"LOW","baseScore":3.3,"baseSeverity":"LOW","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"NONE","scope":"UNCHANGED","userInteraction":"REQUIRED","vectorString":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L","version":"3.1"}}],"references":[{"name":"https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9","tags":["x_refsource_CONFIRM"],"url":"https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9"},{"name":"https://github.com/onnx/onnx/pull/7880","tags":["x_refsource_MISC"],"url":"https://github.com/onnx/onnx/pull/7880"},{"name":"https://github.com/onnx/onnx/commit/e9c74f596eaa0250f89e52a54160a25bbcb25b66","tags":["x_refsource_MISC"],"url":"https://github.com/onnx/onnx/commit/e9c74f596eaa0250f89e52a54160a25bbcb25b66"},{"name":"https://github.com/onnx/onnx/releases/tag/v1.22.0","tags":["x_refsource_MISC"],"url":"https://github.com/onnx/onnx/releases/tag/v1.22.0"}],"affected":[{"vendor":"onnx","product":"onnx","versions":[{"version":">= 1.3.0, < 1.22.0","status":"affected"}]}],"providerMetadata":{"orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M","dateUpdated":"2026-08-18T14:55:15.923Z"},"descriptions":[{"lang":"en","value":"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."}],"source":{"advisory":"GHSA-p893-rvq9-2xf9","discovery":"UNKNOWN"}},"adp":[{"references":[{"url":"https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9","tags":["exploit"]}],"metrics":[{"other":{"type":"ssvc","content":{"timestamp":"2026-08-18T18:51:22.894530Z","id":"CVE-2026-63632","options":[{"Exploitation":"poc"},{"Automatable":"no"},{"Technical Impact":"partial"}],"role":"CISA Coordinator","version":"2.0.3"}}}],"title":"CISA ADP Vulnrichment","providerMetadata":{"orgId":"134c704f-9b21-4f2e-91b3-4a467353bcc0","shortName":"CISA-ADP","dateUpdated":"2026-08-18T18:51:29.068Z"}}]}}