{"id":"CVE-2026-115921","published":"2026-10-26T18:17:39.990","lastModified":"2026-10-26T18:34:17.050","description":"Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs attribute. A missing attribute is dereferenced as a null pointer, while a negative value is converted to size_t and can reach an exceptional oversized allocation path. An untrusted model can therefore terminate or disrupt shape inference, including a negative-value model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.","cvssScore":6.2,"cvssSeverity":"MEDIUM","cvssVector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","cwes":["CWE-195","CWE-476"],"vendors":[],"products":[],"references":[{"url":"https://github.com/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5","tags":[]},{"url":"https://github.com/onnx/onnx/pull/7916","tags":[]},{"url":"https://github.com/onnx/onnx/releases/tag/v1.22.0","tags":[]},{"url":"https://github.com/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr","tags":[]}],"exploitRefs":[{"url":"https://github.com/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5","tags":[]},{"url":"https://github.com/onnx/onnx/pull/7916","tags":[]},{"url":"https://github.com/onnx/onnx/releases/tag/v1.22.0","tags":[]},{"url":"https://github.com/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr","tags":[]}],"hasPoc":true,"ai":null}