GSD-2022-23574

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2022-23574",
    "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.",
    "id": "GSD-2022-23574",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-23574.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-23574"
      ],
      "details": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.",
      "id": "GSD-2022-23574",
      "modified": "2023-12-13T01:19:35.052633Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-23574",
        "STATE": "PUBLIC",
        "TITLE": "Out of bounds read and write in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003e= 2.7.0, \u003c 2.7.1"
                        },
                        {
                          "version_value": "\u003e= 2.6.0, \u003c 2.6.3"
                        },
                        {
                          "version_value": "\u003c 2.5.3"
                        }
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              "vendor_name": "tensorflow"
            }
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      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-125: Out-of-bounds Read"
              }
            ]
          },
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-787: Out-of-bounds Write"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-77gp-3h4r-6428",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0",
          "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-125",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2022-02-11",
          "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
          "identifier": "CVE-2022-23574",
          "identifiers": [
            "GHSA-77gp-3h4r-6428",
            "CVE-2022-23574"
          ],
          "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-02-09",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428",
            "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042",
            "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-23574",
            "https://github.com/advisories/GHSA-77gp-3h4r-6428"
          ],
          "uuid": "67c9a39f-ed8a-4eb3-921d-47340b96e077"
        },
        {
          "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0",
          "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-125",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2022-02-11",
          "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
          "identifier": "CVE-2022-23574",
          "identifiers": [
            "GHSA-77gp-3h4r-6428",
            "CVE-2022-23574"
          ],
          "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-02-09",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428",
            "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042",
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        },
        {
          "affected_range": "\u003c=2.5.2||\u003e=2.6.0,\u003c=2.6.2||==2.7.0",
          "affected_versions": "All versions up to 2.5.2, all versions starting from 2.6.0 up to 2.6.2, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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          "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, and TensorFlow, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
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            "GHSA-77gp-3h4r-6428"
          ],
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-02-04",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Out-of-bounds Read",
          "urls": [
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            "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102",
            "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042"
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
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        "description": {
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              "value": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range."
            }
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              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428",
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              ],
              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428"
            },
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              "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102"
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                "Third Party Advisory"
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              "url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042"
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      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "NETWORK",
            "authentication": "SINGLE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 6.5,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 8.0,
          "impactScore": 6.4,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 2.8,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2022-02-10T15:45Z",
      "publishedDate": "2022-02-04T23:15Z"
    }
  }
}


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