{
  "GSD": {
    "alias": "CVE-2021-37659",
    "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don\u0027t require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
    "id": "GSD-2021-37659",
    "references": [
      "https://www.suse.com/security/cve/CVE-2021-37659.html",
      "https://security.archlinux.org/CVE-2021-37659"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2021-37659"
      ],
      "details": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don\u0027t require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
      "id": "GSD-2021-37659",
      "modified": "2023-12-13T01:23:10.042374Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
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        "ID": "CVE-2021-37659",
        "STATE": "PUBLIC",
        "TITLE": "Out of bounds read via null pointer dereference in TensorFlow"
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              "product": {
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            "value": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don\u0027t require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range."
          }
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      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.3,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
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                "value": "CWE-476: NULL Pointer Dereference"
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          {
            "description": [
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                "value": "CWE-125: Out-of-bounds Read"
              }
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          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q3g3-h9r4-prrc",
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          {
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      "source": {
        "advisory": "GHSA-q3g3-h9r4-prrc",
        "discovery": "UNKNOWN"
      }
    },
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      "advisories": [
        {
          "affected_range": "\u003c2.3.4||\u003e=2.4.0,\u003c2.4.3||==2.5.0",
          "affected_versions": "All versions before 2.3.4, all versions starting from 2.4.0 before 2.4.3, version 2.5.0",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-125",
            "CWE-476",
            "CWE-937"
          ],
          "date": "2021-08-25",
          "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don\u0027t require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
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            "2.4.3",
            "2.5.1"
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          "identifier": "CVE-2021-37659",
          "identifiers": [
            "GHSA-q3g3-h9r4-prrc",
            "CVE-2021-37659"
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          "not_impacted": "All versions starting from 2.3.4 before 2.4.0, all versions starting from 2.4.3 before 2.5.0, all versions after 2.5.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2021-08-25",
          "solution": "Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.",
          "title": "NULL Pointer Dereference",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q3g3-h9r4-prrc",
            "https://nvd.nist.gov/vuln/detail/CVE-2021-37659",
            "https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec",
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          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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            "CWE-125",
            "CWE-476",
            "CWE-937"
          ],
          "date": "2021-08-25",
          "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don\u0027t require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.3.4",
            "2.4.3",
            "2.5.1"
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          "identifier": "CVE-2021-37659",
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            "CVE-2021-37659"
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          "not_impacted": "All versions starting from 2.3.4 before 2.4.0, all versions starting from 2.4.3 before 2.5.0, all versions after 2.5.0",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2021-08-25",
          "solution": "Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.",
          "title": "NULL Pointer Dereference",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q3g3-h9r4-prrc",
            "https://nvd.nist.gov/vuln/detail/CVE-2021-37659",
            "https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec",
            "https://github.com/advisories/GHSA-q3g3-h9r4-prrc"
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          "uuid": "13cada6e-00de-4bf9-b054-f212a43369a7"
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        {
          "affected_range": "\u003e=2.3.0,\u003c2.3.4||\u003e=2.4.0,\u003c2.4.3||\u003e=2.5.0,\u003c=2.6.0",
          "affected_versions": "All versions starting from 2.3.0 before 2.3.4, all versions starting from 2.4.0 before 2.4.3, all versions starting from 2.5.0 up to 2.6.0",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
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            "CWE-937"
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          "date": "2021-08-18",
          "description": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in all binary `cwise` operations that don\u0027t require broadcasting (e.g., gradients of binary `cwise` operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the `eigen` functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr.",
          "fixed_versions": [
            "2.3.4",
            "2.4.3"
          ],
          "identifier": "CVE-2021-37659",
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          "not_impacted": "All versions before 2.3.0, all versions starting from 2.3.4 before 2.4.0, all versions starting from 2.4.3 before 2.5.0, all versions after 2.6.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2021-08-12",
          "solution": "Upgrade to versions 2.3.4, 2.4.3 or above.",
          "title": "Out-of-bounds Read",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2021-37659"
          ],
          "uuid": "90854255-adf6-47a2-8f10-6108cbea6c6a"
        }
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          "cvssV2": {
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            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 4.6,
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          "exploitabilityScore": 3.9,
          "impactScore": 6.4,
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            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
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            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
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          "impactScore": 5.9
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      },
      "lastModifiedDate": "2021-08-18T14:23Z",
      "publishedDate": "2021-08-12T21:15Z"
    }
  }
}