Common Weakness Enumeration

CWE-369

Allowed

Divide By Zero

Abstraction: Base · Status: Draft

The product divides a value by zero.

594 vulnerabilities reference this CWE, most recent first.

GHSA-XVCJ-QW55-XX42

Vulnerability from github – Published: 2024-05-30 21:33 – Updated: 2025-11-03 21:31
VLAI
Details

EDK2 contains a vulnerability when S3 sleep is activated where an Attacker may cause a Division-By-Zero due to a UNIT32 overflow via local access. A successful exploit of this vulnerability may lead to a loss of Availability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-1298"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-30T21:15:09Z",
    "severity": "MODERATE"
  },
  "details": "EDK2 contains a vulnerability when S3 sleep is activated where an Attacker may cause a Division-By-Zero due to a UNIT32 overflow via local access. A successful exploit of this vulnerability may lead to a loss of Availability.",
  "id": "GHSA-xvcj-qw55-xx42",
  "modified": "2025-11-03T21:31:06Z",
  "published": "2024-05-30T21:33:37Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tianocore/edk2/security/advisories/GHSA-chfw-xj8f-6m53"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-1298"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/06/msg00007.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/F7NUL7NSZQ76A5OKDUCODQNY7WSX4SST"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/VIMEZWDKEIQKU7NMHKL57DOCITPGEXYN"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20250306-0002"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-XW93-V57J-FCGH

Vulnerability from github – Published: 2021-05-21 14:24 – Updated: 2024-10-31 20:54
VLAI
Summary
Division by 0 in `SparseMatMul`
Details

Impact

An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.SparseMatMul:

import tensorflow as tf

a = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)
b = tf.constant([], shape=[0, 2], dtype=tf.float32)

tf.raw_ops.SparseMatMul(
    a=a, b=b, transpose_a=True, transpose_b=True,
    a_is_sparse=True, b_is_sparse=True)

The division by 0 occurs deep in Eigen code because the b tensor is empty.

Patches

We have patched the issue in GitHub commit 7f283ff806b2031f407db64c4d3edcda8fb9f9f5.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29557"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T20:40:17Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.SparseMatMul`:\n\n```python\nimport tensorflow as tf\n\na = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)\nb = tf.constant([], shape=[0, 2], dtype=tf.float32)\n\ntf.raw_ops.SparseMatMul(\n    a=a, b=b, transpose_a=True, transpose_b=True,\n    a_is_sparse=True, b_is_sparse=True)\n``` \n    \nThe division by 0 occurs deep in Eigen code because the `b` tensor is empty.\n    \n### Patches\nWe have patched the issue in GitHub commit [7f283ff806b2031f407db64c4d3edcda8fb9f9f5](https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team.",
  "id": "GHSA-xw93-v57j-fcgh",
  "modified": "2024-10-31T20:54:32Z",
  "published": "2021-05-21T14:24:48Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xw93-v57j-fcgh"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29557"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-485.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-683.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-194.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Division by 0 in `SparseMatMul`"
}

GHSA-XWCM-F545-R47Q

Vulnerability from github – Published: 2022-06-28 00:00 – Updated: 2022-07-08 00:00
VLAI
Details

When performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-33654"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-06-27T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "When performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception.",
  "id": "GHSA-xwcm-f545-r47q",
  "modified": "2022-07-08T00:00:46Z",
  "published": "2022-06-28T00:00:54Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-33654"
    },
    {
      "type": "WEB",
      "url": "https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-001_en.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-XWHC-G2J2-VC9P

Vulnerability from github – Published: 2022-05-24 17:42 – Updated: 2022-05-24 17:42
VLAI
Details

Divide by zero in some Intel(R) Graphics Drivers before version 26.20.100.8141 may allow a privileged user to potentially enable a denial of service via local access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-12371"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-02-17T14:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Divide by zero in some Intel(R) Graphics Drivers before version 26.20.100.8141 may allow a privileged user to potentially enable a denial of service via local access.",
  "id": "GHSA-xwhc-g2j2-vc9p",
  "modified": "2022-05-24T17:42:26Z",
  "published": "2022-05-24T17:42:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-12371"
    },
    {
      "type": "WEB",
      "url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00438.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

No mitigation information available for this CWE.

No CAPEC attack patterns related to this CWE.