GSD-2022-41884

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2022-41884",
    "id": "GSD-2022-41884"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-41884"
      ],
      "details": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
      "id": "GSD-2022-41884",
      "modified": "2023-12-13T01:19:33.006328Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-41884",
        "STATE": "PUBLIC",
        "TITLE": "Seg fault in `ndarray_tensor_bridge` due to zero and large inputs 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"
                        }
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      "data_format": "MITRE",
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      "description": {
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          {
            "lang": "eng",
            "value": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 4.8,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-670: Always-Incorrect Control Flow Implementation"
              }
            ]
          }
        ]
      },
      "references": {
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          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
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          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-jq6x-99hj-q636",
        "discovery": "UNKNOWN"
      }
    },
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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": [
            "CWE-1035",
            "CWE-670",
            "CWE-937"
          ],
          "date": "2022-11-21",
          "description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
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            "2.9.3",
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          "identifier": "CVE-2022-41884",
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            "GHSA-jq6x-99hj-q636",
            "CVE-2022-41884"
          ],
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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": "Always-Incorrect Control Flow Implementation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
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            "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
            "https://github.com/advisories/GHSA-jq6x-99hj-q636"
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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": [
            "CWE-1035",
            "CWE-670",
            "CWE-937"
          ],
          "date": "2022-11-21",
          "description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.8.4",
            "2.9.3",
            "2.10.1"
          ],
          "identifier": "CVE-2022-41884",
          "identifiers": [
            "GHSA-jq6x-99hj-q636",
            "CVE-2022-41884"
          ],
          "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": "Always-Incorrect Control Flow Implementation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-41884",
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            "https://github.com/advisories/GHSA-jq6x-99hj-q636"
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          "uuid": "31d4d959-9062-41b6-8584-5a0eb71b0104"
        },
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          "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:N/I:N/A:H",
          "cwe_ids": [
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          ],
          "date": "2022-11-22",
          "description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.8.4",
            "2.9.3",
            "2.10.1"
          ],
          "identifier": "CVE-2022-41884",
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            "GHSA-jq6x-99hj-q636"
          ],
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-11-18",
          "solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
          "title": "Always-Incorrect Control Flow Implementation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
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            "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",
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          "exploitabilityScore": 3.9,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-11-22T21:53Z",
      "publishedDate": "2022-11-18T22:15Z"
    }
  }
}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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