{"id":"AZL-112169","summary":"CVE-2026-115920 affecting package pytorch 2.2.2-17","details":"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.","modified":"2026-11-02T05:31:37Z","published":"2026-10-26T18:17:39Z","upstream":["CVE-2026-115920"],"references":[{"type":"WEB","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-115920"}],"affected":[{"package":{"name":"pytorch","ecosystem":"Azure Linux:3","purl":"pkg:rpm/azure-linux/pytorch"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"2.2.2-17"}]}],"database_specific":{"source":"https://github.com/microsoft/AzureLinuxVulnerabilityData/blob/main/osv/AZL-112169.json"}}],"schema_version":"1.9.2"}