gsd-2022-35959
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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.
Aliases
Aliases
CVE-2022-35959


To clipboard 

{
  "GSD": {
    "alias": "CVE-2022-35959",
    "description": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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-2022-35959",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-35959.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-35959"
      ],
      "details": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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-2022-35959",
      "modified": "2023-12-13T01:19:33.612772Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-35959",
        "STATE": "PUBLIC",
        "TITLE": "`CHECK` failures in `AvgPool3DGrad` in TensorFlow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
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                          "version_value": "\u003e= 2.8.0, \u003c 2.8.1"
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      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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-617: Reachable Assertion"
              }
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          }
        ]
      },
      "references": {
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          {
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          },
          {
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            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-wxjj-cgcx-r3vq",
        "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": [
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            "CWE-617",
            "CWE-937"
          ],
          "date": "2022-09-16",
          "description": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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": [
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            "2.8.1",
            "2.9.1"
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          "identifier": "CVE-2022-35959",
          "identifiers": [
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            "CVE-2022-35959"
          ],
          "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-cpu",
          "pubdate": "2022-09-16",
          "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.",
          "title": "Reachable Assertion",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq",
            "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0",
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          "uuid": "67bae3e1-78ea-4160-9049-16d7fb59de32"
        },
        {
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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-617",
            "CWE-937"
          ],
          "date": "2022-09-16",
          "description": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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-2022-35959",
          "identifiers": [
            "GHSA-wxjj-cgcx-r3vq",
            "CVE-2022-35959"
          ],
          "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": "Reachable Assertion",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq",
            "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0",
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        },
        {
          "affected_range": "\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c=2.10",
          "affected_versions": "All versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 up to 2.10",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
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            "CWE-617",
            "CWE-937"
          ],
          "date": "2022-09-21",
          "description": "TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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"
          ],
          "identifier": "CVE-2022-35959",
          "identifiers": [
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            "GHSA-wxjj-cgcx-r3vq"
          ],
          "not_impacted": "All versions before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions after 2.10",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-09-16",
          "solution": "Upgrade to version 2.7.2 or above.",
          "title": "Reachable Assertion",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vq",
            "https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0",
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          ],
          "uuid": "613c1877-0a7e-4316-add8-d2220166f9b4"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
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        "nodes": [
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            "children": [],
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:*",
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                "vulnerable": true
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            },
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      },
      "impact": {
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "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": "2022-09-21T17:12Z",
      "publishedDate": "2022-09-16T20:15Z"
    }
  }
}


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