{
    "dataType": "CVE_RECORD",
    "dataVersion": "5.2",
    "cveMetadata": {
        "cveId": "CVE-2026-115920",
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "state": "PUBLISHED",
        "assignerShortName": "GitHub_M",
        "dateReserved": "2026-10-23T20:21:45.107Z",
        "datePublished": "2026-10-26T17:26:40.506Z",
        "dateUpdated": "2026-10-26T19:48:35.202Z"
    },
    "containers": {
        "cna": {
            "title": "ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank",
            "problemTypes": [
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-125",
                            "lang": "en",
                            "description": "CWE-125: Out-of-bounds Read",
                            "type": "CWE"
                        }
                    ]
                }
            ],
            "metrics": [
                {
                    "cvssV3_1": {
                        "attackComplexity": "LOW",
                        "attackVector": "LOCAL",
                        "availabilityImpact": "HIGH",
                        "baseScore": 6.2,
                        "baseSeverity": "MEDIUM",
                        "confidentialityImpact": "NONE",
                        "integrityImpact": "NONE",
                        "privilegesRequired": "NONE",
                        "scope": "UNCHANGED",
                        "userInteraction": "NONE",
                        "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
                        "version": "3.1"
                    }
                }
            ],
            "references": [
                {
                    "name": "https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2",
                    "tags": [
                        "x_refsource_CONFIRM"
                    ],
                    "url": "https://github.com/onnx/onnx/security/advisories/GHSA-6pwm-x34p-fvj2"
                },
                {
                    "name": "https://github.com/onnx/onnx/pull/7997",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/onnx/onnx/pull/7997"
                },
                {
                    "name": "https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf"
                },
                {
                    "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": ">= 1.2.1, < 1.22.0",
                            "status": "affected"
                        }
                    ]
                }
            ],
            "providerMetadata": {
                "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
                "shortName": "GitHub_M",
                "dateUpdated": "2026-10-26T17:26:40.506Z"
            },
            "descriptions": [
                {
                    "lang": "en",
                    "value": "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."
                }
            ],
            "source": {
                "advisory": "GHSA-6pwm-x34p-fvj2",
                "discovery": "UNKNOWN"
            }
        },
        "adp": [
            {
                "metrics": [
                    {
                        "other": {
                            "type": "ssvc",
                            "content": {
                                "id": "CVE-2026-115920",
                                "role": "CISA Coordinator",
                                "options": [
                                    {
                                        "Exploitation": "none"
                                    },
                                    {
                                        "Automatable": "no"
                                    },
                                    {
                                        "Technical Impact": "partial"
                                    }
                                ],
                                "version": "2.0.3",
                                "timestamp": "2026-10-26T19:30:01.679717Z"
                            }
                        }
                    }
                ],
                "title": "CISA ADP Vulnrichment",
                "providerMetadata": {
                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
                    "shortName": "CISA-ADP",
                    "dateUpdated": "2026-10-26T19:48:35.202Z"
                }
            }
        ]
    }
}