cvelist/2020/15xxx/CVE-2020-15193.json

{
    "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-15193",
        "STATE": "PUBLIC",
        "TITLE": "Memory corruption in Tensorflow"
    },
    "affects": {
        "vendor": {
            "vendor_data": [
                {
                    "product": {
                        "product_data": [
                            {
                                "product_name": "tensorflow",
                                "version": {
                                    "version_data": [
                                        {
                                            "version_value": "= 2.2.0"
                                        },
                                        {
                                            "version_value": "= 2.3.0"
                                        }
                                    ]
                                }
                            }
                        ]
                    },
                    "vendor_name": "tensorflow"
                }
            ]
        }
    },
    "data_format": "MITRE",
    "data_type": "CVE",
    "data_version": "4.0",
    "description": {
        "description_data": [
            {
                "lang": "eng",
                "value": "In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor.\n\n\nHowever, there is nothing stopping users from passing in a Python object instead of a tensor.\nThe uninitialized memory address is due to a `reinterpret_cast`\n\nSince the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. \n\nThe issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1."
            }
        ]
    },
    "impact": {
        "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
            "version": "3.1"
        }
    },
    "problemtype": {
        "problemtype_data": [
            {
                "description": [
                    {
                        "lang": "eng",
                        "value": "{\"CWE-908\":\"Use of Uninitialized Resource\"}"
                    }
                ]
            }
        ]
    },
    "references": {
        "reference_data": [
            {
                "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v",
                "refsource": "CONFIRM",
                "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v"
            },
            {
                "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1",
                "refsource": "MISC",
                "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
            },
            {
                "name": "https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8",
                "refsource": "MISC",
                "url": "https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8"
            }
        ]
    },
    "source": {
        "advisory": "GHSA-rjjg-hgv6-h69v",
        "discovery": "UNKNOWN"
    }
}