gsd-2022-41900
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
Aliases
Aliases
CVE-2022-41900


To clipboard 

{
  "GSD": {
    "alias": "CVE-2022-41900",
    "id": "GSD-2022-41900"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-41900"
      ],
      "details": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.",
      "id": "GSD-2022-41900",
      "modified": "2023-12-13T01:19:32.437618Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-41900",
        "STATE": "PUBLIC",
        "TITLE": "FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003e= 2.10.0, \u003c 2.10.1"
                        },
                        {
                          "version_value": "\u003e= 2.9.0, \u003c 2.9.3"
                        },
                        {
                          "version_value": "\u003c 2.8.4"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "tensorflow"
            }
          ]
        }
      },
      "data_format": "MITRE",
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      "data_version": "4.0",
      "description": {
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          {
            "lang": "eng",
            "value": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-787: Out-of-bounds Write"
              }
            ]
          },
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-125: Out-of-bounds Read"
              }
            ]
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        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472",
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          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-xvwp-h6jv-7472",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
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        {
          "affected_range": "\u003c2.8.4||\u003e=2.9.0,\u003c2.9.3||\u003e=2.10.0,\u003c2.10.1",
          "affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1",
          "cwe_ids": [
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            "CWE-787",
            "CWE-937"
          ],
          "date": "2022-11-21",
          "description": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.",
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            "2.9.3",
            "2.10.1"
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          "identifier": "CVE-2022-41900",
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            "CVE-2022-41900"
          ],
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          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-11-21",
          "solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
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          "uuid": "2630d9c8-dd4b-4c47-964a-8bf7305e3e2f"
        },
        {
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          "date": "2022-11-21",
          "description": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.",
          "fixed_versions": [
            "2.8.4",
            "2.9.3",
            "2.10.1"
          ],
          "identifier": "CVE-2022-41900",
          "identifiers": [
            "GHSA-xvwp-h6jv-7472",
            "CVE-2022-41900"
          ],
          "not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-11-21",
          "solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-41900",
            "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48",
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          ],
          "uuid": "ef783153-f5ef-4ec3-8689-b32394d23bea"
        },
        {
          "affected_range": "\u003c2.8.4||\u003e=2.9.0,\u003c2.9.3||==2.10.0",
          "affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, version 2.10.0",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-125",
            "CWE-937"
          ],
          "date": "2022-11-23",
          "description": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.",
          "fixed_versions": [
            "2.8.4",
            "2.9.3",
            "2.10.1"
          ],
          "identifier": "CVE-2022-41900",
          "identifiers": [
            "CVE-2022-41900",
            "GHSA-xvwp-h6jv-7472"
          ],
          "not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions after 2.10.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-11-18",
          "solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
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            "https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48",
            "https://github.com/advisories/GHSA-xvwp-h6jv-7472"
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          "uuid": "84262f5c-04a8-4cdf-a213-7c48348b2a35"
        }
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    },
    "nvd.nist.gov": {
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          {
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*",
                "cpe_name": [],
                "vulnerable": true
              },
              {
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          "ID": "CVE-2022-41900"
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        "description": {
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              "value": "TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1."
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              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472"
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      "impact": {
        "baseMetricV3": {
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
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            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2022-11-23T13:35Z",
      "publishedDate": "2022-11-18T22:15Z"
    }
  }
}


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