{"id":"CVE-2026-115920","revision":"8ee8e614b3484c7a842456df476fe8f8","records":[{"revision":"8ee8e614b3484c7a842456df476fe8f8","observedAt":"2026-10-26T20:35:31.018+00:00","statement":{"source":"cve-program","id":"CVE-2026-115920","aliases":[],"title":"ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank","description":"Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute by deriving an empty effective_kernel_shape and indexing it for the input's spatial dimensions. The flaw affects convTransposeShapeInference_opset11() and the current inference path, and an untrusted model that can pass onnx.checker.check_model() can crash onnx.shape_inference.infer_shapes(), causing denial of service without demonstrated confidentiality or integrity impact. This issue is fixed in version 1.22.0.","state":0,"publishedAt":"2026-10-26T17:26:40.506+00:00","modifiedAt":"2026-10-26T19:48:35.202+00:00","affected":[{"ecosystem":"Vendor product","name":"onnx","ranges":[],"versions":[],"rawVersionEvidence":"{\n                    \"vendor\": \"onnx\",\n                    \"product\": \"onnx\",\n                    \"versions\": [\n                        {\n                            \"version\": \">= 1.2.1, < 1.22.0\",\n                            \"status\": \"affected\"\n                        }\n                    ]\n                }"}],"metrics":[{"system":"CVSS 3.1","vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","score":6.2,"severity":"MEDIUM"}],"references":["https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2","https://github.com/onnx/onnx/pull/7997","https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf","https://github.com/onnx/onnx/releases/tag/v1.22.0"],"sourceUrl":"https://www.cve.org/CVERecord?id=CVE-2026-115920","license":"CVE Program Terms of Use","key":"cve-program:CVE-2026-115920","identifiers":["CVE-2026-115920"]},"retained":false,"historicalAffected":[]}],"coverage":[]}