cvelist/2021/29xxx/CVE-2021-29577.json

{
    "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2021-29577",
        "STATE": "PUBLIC",
        "TITLE": "Heap buffer overflow in `AvgPool3DGrad`"
    },
    "affects": {
        "vendor": {
            "vendor_data": [
                {
                    "product": {
                        "product_data": [
                            {
                                "product_name": "tensorflow",
                                "version": {
                                    "version_data": [
                                        {
                                            "version_value": "< 2.1.4"
                                        },
                                        {
                                            "version_value": ">= 2.2.0, < 2.2.3"
                                        },
                                        {
                                            "version_value": ">= 2.3.0, < 2.3.3"
                                        },
                                        {
                                            "version_value": ">= 2.4.0, < 2.4.2"
                                        }
                                    ]
                                }
                            }
                        ]
                    },
                    "vendor_name": "tensorflow"
                }
            ]
        }
    },
    "data_format": "MITRE",
    "data_type": "CVE",
    "data_version": "4.0",
    "description": {
        "description_data": [
            {
                "lang": "eng",
                "value": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
            }
        ]
    },
    "impact": {
        "cvss": {
            "attackComplexity": "HIGH",
            "attackVector": "LOCAL",
            "availabilityImpact": "LOW",
            "baseScore": 2.5,
            "baseSeverity": "LOW",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
            "version": "3.1"
        }
    },
    "problemtype": {
        "problemtype_data": [
            {
                "description": [
                    {
                        "lang": "eng",
                        "value": "CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer"
                    }
                ]
            }
        ]
    },
    "references": {
        "reference_data": [
            {
                "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6r6-84gr-92rm",
                "refsource": "CONFIRM",
                "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6r6-84gr-92rm"
            },
            {
                "name": "https://github.com/tensorflow/tensorflow/commit/6fc9141f42f6a72180ecd24021c3e6b36165fe0d",
                "refsource": "MISC",
                "url": "https://github.com/tensorflow/tensorflow/commit/6fc9141f42f6a72180ecd24021c3e6b36165fe0d"
            }
        ]
    },
    "source": {
        "advisory": "GHSA-v6r6-84gr-92rm",
        "discovery": "UNKNOWN"
    }
}