GSD-2022-35965

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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Aliases
CVE-2022-35965
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{
  "GSD": {
    "alias": "CVE-2022-35965",
    "description": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.",
    "id": "GSD-2022-35965",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-35965.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-35965"
      ],
      "details": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.",
      "id": "GSD-2022-35965",
      "modified": "2023-12-13T01:19:33.464505Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
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        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-35965",
        "STATE": "PUBLIC",
        "TITLE": "Segfault in `LowerBound` and `UpperBound` in TensorFlow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
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                          "version_value": "\u003c 2.7.2"
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                          "version_value": "\u003e= 2.8.0, \u003c 2.8.1"
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      "description": {
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            "lang": "eng",
            "value": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 5.9,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-476: NULL Pointer Dereference"
              }
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          }
        ]
      },
      "references": {
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          {
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          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea"
          }
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      "source": {
        "advisory": "GHSA-qxpx-j395-pw36",
        "discovery": "UNKNOWN"
      }
    },
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          "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1",
          "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1",
          "cwe_ids": [
            "CWE-1035",
            "CWE-476",
            "CWE-937"
          ],
          "date": "2022-09-16",
          "description": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.",
          "fixed_versions": [
            "2.7.2",
            "2.8.1",
            "2.9.1"
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          "identifier": "CVE-2022-35965",
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            "CVE-2022-35965"
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          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-09-16",
          "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.",
          "title": "NULL Pointer Dereference",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36",
            "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0",
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          "uuid": "11db45c5-8c0e-44ba-a49e-4f1fe3affbc4"
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          "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1",
          "cwe_ids": [
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            "CWE-476",
            "CWE-937"
          ],
          "date": "2022-09-16",
          "description": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.",
          "fixed_versions": [
            "2.7.2",
            "2.8.1",
            "2.9.1"
          ],
          "identifier": "CVE-2022-35965",
          "identifiers": [
            "GHSA-qxpx-j395-pw36",
            "CVE-2022-35965"
          ],
          "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-09-16",
          "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.",
          "title": "NULL Pointer Dereference",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36",
            "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0",
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          "uuid": "13acc216-efd6-4b0a-8e6b-0b9b24f55ea9"
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          "affected_range": "\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1||==2.10",
          "affected_versions": "All versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1, version 2.10",
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          "date": "2022-09-20",
          "description": "TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.",
          "fixed_versions": [
            "2.7.2",
            "2.8.1",
            "2.9.1"
          ],
          "identifier": "CVE-2022-35965",
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-09-16",
          "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.",
          "title": "NULL Pointer Dereference",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36",
            "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea",
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          "uuid": "ab6ba65b-3908-4dc7-9c43-752c5f91aab9"
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    "nvd.nist.gov": {
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
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              "name": "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea",
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      "impact": {
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            "attackVector": "NETWORK",
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            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
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          "exploitabilityScore": 3.9,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-09-20T20:10Z",
      "publishedDate": "2022-09-16T21:15Z"
    }
  }
}


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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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