cvelist/2020/26xxx/CVE-2020-26270.json

{
    "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-26270",
        "STATE": "PUBLIC",
        "TITLE": "CHECK-fail in LSTM with zero-length input in TensorFlow"
    },
    "affects": {
        "vendor": {
            "vendor_data": [
                {
                    "product": {
                        "product_data": [
                            {
                                "product_name": "tensorflow",
                                "version": {
                                    "version_data": [
                                        {
                                            "version_value": "< 1.15.5"
                                        },
                                        {
                                            "version_value": ">= 2.0.0, < 2.0.4"
                                        },
                                        {
                                            "version_value": ">= 2.1.0, < 2.1.3"
                                        },
                                        {
                                            "version_value": ">= 2.2.0, < 2.2.2"
                                        },
                                        {
                                            "version_value": ">= 2.3.0, < 2.3.2"
                                        }
                                    ]
                                }
                            }
                        ]
                    },
                    "vendor_name": "tensorflow"
                }
            ]
        }
    },
    "data_format": "MITRE",
    "data_type": "CVE",
    "data_version": "4.0",
    "description": {
        "description_data": [
            {
                "lang": "eng",
                "value": "In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
            }
        ]
    },
    "impact": {
        "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "LOW",
            "baseScore": 4.4,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
            "version": "3.1"
        }
    },
    "problemtype": {
        "problemtype_data": [
            {
                "description": [
                    {
                        "lang": "eng",
                        "value": "CWE-20 Improper Input Validation"
                    }
                ]
            }
        ]
    },
    "references": {
        "reference_data": [
            {
                "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp",
                "refsource": "CONFIRM",
                "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp"
            },
            {
                "name": "https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3",
                "refsource": "MISC",
                "url": "https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3"
            }
        ]
    },
    "source": {
        "advisory": "GHSA-m648-33qf-v3gp",
        "discovery": "UNKNOWN"
    }
}