{
    "dataType": "CVE_RECORD",
    "dataVersion": "5.2",
    "cveMetadata": {
        "cveId": "CVE-2026-55093",
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "state": "PUBLISHED",
        "assignerShortName": "GitHub_M",
        "dateReserved": "2026-06-16T14:41:54.578Z",
        "datePublished": "2026-09-14T19:47:46.877Z",
        "dateUpdated": "2026-09-14T20:09:24.411Z"
    },
    "containers": {
        "cna": {
            "title": "tract-nnef: integer overflow in NNEF `.dat` tensor parser yields an out-of-bounds read on model load",
            "problemTypes": [
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-125",
                            "lang": "en",
                            "description": "CWE-125: Out-of-bounds Read",
                            "type": "CWE"
                        }
                    ]
                },
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-190",
                            "lang": "en",
                            "description": "CWE-190: Integer Overflow or Wraparound",
                            "type": "CWE"
                        }
                    ]
                }
            ],
            "metrics": [
                {
                    "cvssV3_1": {
                        "attackComplexity": "LOW",
                        "attackVector": "LOCAL",
                        "availabilityImpact": "HIGH",
                        "baseScore": 6.1,
                        "baseSeverity": "MEDIUM",
                        "confidentialityImpact": "LOW",
                        "integrityImpact": "NONE",
                        "privilegesRequired": "NONE",
                        "scope": "UNCHANGED",
                        "userInteraction": "REQUIRED",
                        "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
                        "version": "3.1"
                    }
                }
            ],
            "references": [
                {
                    "name": "https://github.com/sonos/tract/security/advisories/GHSA-x5mv-8wgw-29hg",
                    "tags": [
                        "x_refsource_CONFIRM"
                    ],
                    "url": "https://github.com/sonos/tract/security/advisories/GHSA-x5mv-8wgw-29hg"
                },
                {
                    "name": "https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8"
                },
                {
                    "name": "https://github.com/sonos/tract/commit/828ec20f74c14c0923c7d7f0cff062ed222d630a",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/commit/828ec20f74c14c0923c7d7f0cff062ed222d630a"
                },
                {
                    "name": "https://github.com/sonos/tract/commit/ee5f019d39fb97f7d4431b883c3ce97b74c28a64",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/commit/ee5f019d39fb97f7d4431b883c3ce97b74c28a64"
                },
                {
                    "name": "https://github.com/sonos/tract/releases/tag/0.21.16",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/releases/tag/0.21.16"
                },
                {
                    "name": "https://github.com/sonos/tract/releases/tag/0.22.2",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/releases/tag/0.22.2"
                },
                {
                    "name": "https://github.com/sonos/tract/releases/tag/v0.23.1",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/sonos/tract/releases/tag/v0.23.1"
                }
            ],
            "affected": [
                {
                    "vendor": "sonos",
                    "product": "tract",
                    "versions": [
                        {
                            "version": "< 0.21.16",
                            "status": "affected"
                        },
                        {
                            "version": ">= 0.22.0, < 0.22.2",
                            "status": "affected"
                        },
                        {
                            "version": ">= 0.23.0, < 0.23.1",
                            "status": "affected"
                        }
                    ]
                }
            ],
            "providerMetadata": {
                "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
                "shortName": "GitHub_M",
                "dateUpdated": "2026-09-14T19:47:46.877Z"
            },
            "descriptions": [
                {
                    "lang": "en",
                    "value": "Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.16, 0.22.2, and 0.23.1, tract-nnef uses unchecked usize multiplication in nnef/src/tensors.rs read_tensor for attacker-controlled tensor dimensions, the allocation size, and the reported tensor length. Loading a crafted NNEF archive through model_for_path or model_for_read reaches the default DatLoader and can make the wrapped size check accept a small allocation while data/src/tensor.rs as_slice_unchecked creates a much larger logical slice. Model construction through as_uniform can then read beyond the heap allocation and disclose adjacent data, and later access can terminate the process with a segmentation fault. The affected dense numeric tensor path does not include the independently guarded bool, String, or block-quant paths, and no out-of-bounds write or code execution was demonstrated. This issue is fixed in versions 0.21.16, 0.22.2, and 0.23.1."
                }
            ],
            "source": {
                "advisory": "GHSA-x5mv-8wgw-29hg",
                "discovery": "UNKNOWN"
            }
        },
        "adp": [
            {
                "references": [
                    {
                        "url": "https://github.com/sonos/tract/security/advisories/GHSA-x5mv-8wgw-29hg",
                        "tags": [
                            "exploit"
                        ]
                    }
                ],
                "metrics": [
                    {
                        "other": {
                            "type": "ssvc",
                            "content": {
                                "timestamp": "2026-09-14T20:09:04.689487Z",
                                "id": "CVE-2026-55093",
                                "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": "2026-09-14T20:09:24.411Z"
                }
            }
        ]
    }
}