Common Weakness Enumeration

CWE-824

Allowed

Access of Uninitialized Pointer

Abstraction: Base · Status: Incomplete

The product accesses or uses a pointer that has not been initialized.

451 vulnerabilities reference this CWE, most recent first.

GHSA-464F-8292-RFPH

Vulnerability from github – Published: 2024-03-12 09:30 – Updated: 2024-03-12 09:30
VLAI
Details

An unauthenticated remote attacker can DoS a control agent due to access of a uninitialized pointer which may prevent or disrupt the charging functionality.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-26004"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-03-12T09:15:09Z",
    "severity": "HIGH"
  },
  "details": "An unauthenticated remote attacker can DoS a control agent due to access of a uninitialized pointer\u00a0which may prevent or disrupt the charging functionality. ",
  "id": "GHSA-464f-8292-rfph",
  "modified": "2024-03-12T09:30:42Z",
  "published": "2024-03-12T09:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26004"
    },
    {
      "type": "WEB",
      "url": "https://cert.vde.com/en/advisories/VDE-2024-011"
    }
  ],
  "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-4682-4HP2-9F43

Vulnerability from github – Published: 2026-01-13 21:31 – Updated: 2026-01-13 21:31
VLAI
Details

InDesign Desktop versions 21.0, 19.5.5 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-21276"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-01-13T19:16:25Z",
    "severity": "HIGH"
  },
  "details": "InDesign Desktop versions 21.0, 19.5.5 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-4682-4hp2-9f43",
  "modified": "2026-01-13T21:31:44Z",
  "published": "2026-01-13T21:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21276"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/indesign/apsb26-02.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4683-7MCH-JPWJ

Vulnerability from github – Published: 2025-09-02 21:30 – Updated: 2025-09-02 21:30
VLAI
Details

Oxford Instruments Imaris Viewer IMS File Parsing Uninitialized Pointer Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oxford Instruments Imaris Viewer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.

The specific flaw exists within the parsing of IMS files. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-21657.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-9274"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-02T20:15:40Z",
    "severity": "HIGH"
  },
  "details": "Oxford Instruments Imaris Viewer IMS File Parsing Uninitialized Pointer Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oxford Instruments Imaris Viewer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of IMS files. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-21657.",
  "id": "GHSA-4683-7mch-jpwj",
  "modified": "2025-09-02T21:30:59Z",
  "published": "2025-09-02T21:30:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-9274"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-853"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-48H7-CVHW-3W6X

Vulnerability from github – Published: 2022-11-23 15:30 – Updated: 2023-01-23 18:30
VLAI
Details

There is an infoleak vulnerability in the Linux kernel's net/bluetooth/l2cap_core.c's l2cap_parse_conf_req function which can be used to leak kernel pointers remotely. We recommend upgrading past commit https://github.com/torvalds/linux/commit/b1a2cd50c0357f243b7435a732b4e62ba3157a2e https://www.google.com/url

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-42895"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-11-23T15:15:00Z",
    "severity": "MODERATE"
  },
  "details": "There is an infoleak vulnerability in the Linux kernel\u0027s net/bluetooth/l2cap_core.c\u0027s l2cap_parse_conf_req function which can be used to leak kernel pointers remotely. We recommend upgrading past commit https://github.com/torvalds/linux/commit/b1a2cd50c0357f243b7435a732b4e62ba3157a2e https://www.google.com/url",
  "id": "GHSA-48h7-cvhw-3w6x",
  "modified": "2023-01-23T18:30:17Z",
  "published": "2022-11-23T15:30:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-42895"
    },
    {
      "type": "WEB",
      "url": "https://github.com/torvalds/linux/commit/b1a2cd50c0357f243b7435a732b4e62ba3157a2e"
    },
    {
      "type": "WEB",
      "url": "https://kernel.dance/#b1a2cd50c0357f243b7435a732b4e62ba3157a2e"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4F99-P9C2-3J8X

Vulnerability from github – Published: 2021-11-10 18:51 – Updated: 2024-11-07 22:14
VLAI
Summary
Undefined behavior via `nullptr` reference binding in sparse matrix multiplication
Details

Impact

The code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr:

import tensorflow as tf

tf.raw_ops.SparseMatMul(
  a=[[1.0,1.0,1.0]],
  b=[[],[],[]],
  transpose_a=False,
  transpose_b=False,
  a_is_sparse=False, 
  b_is_sparse=True)

This occurs whenever the dimensions of a or b are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access.

Patches

We have patched the issue in GitHub commit e6cf28c72ba2eb949ca950d834dd6d66bb01cfae.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
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        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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              "introduced": "2.5.0"
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              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41219"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:08:27Z",
    "nvd_published_at": "2021-11-05T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [code for sparse matrix multiplication](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/sparse_matmul_op.cc#L954-L1086) is vulnerable to undefined behavior via binding a reference to `nullptr`:\n\n```python\nimport tensorflow as tf\n  \ntf.raw_ops.SparseMatMul(\n  a=[[1.0,1.0,1.0]],\n  b=[[],[],[]],\n  transpose_a=False,\n  transpose_b=False,\n  a_is_sparse=False, \n  b_is_sparse=True)\n```\n\nThis occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access.\n\n### Patches\nWe have patched the issue in GitHub commit [e6cf28c72ba2eb949ca950d834dd6d66bb01cfae](https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae).\n\nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.\n",
  "id": "GHSA-4f99-p9c2-3j8x",
  "modified": "2024-11-07T22:14:20Z",
  "published": "2021-11-10T18:51:51Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41219"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-628.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-826.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-411.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Undefined behavior via `nullptr` reference binding in sparse matrix multiplication"
}

GHSA-4P4P-WWW8-8FV9

Vulnerability from github – Published: 2021-05-21 14:25 – Updated: 2024-11-01 17:05
VLAI
Summary
Reference binding to null in `ParameterizedTruncatedNormal`
Details

Impact

An attacker can trigger undefined behavior by binding to null pointer in tf.raw_ops.ParameterizedTruncatedNormal:

import tensorflow as tf

shape = tf.constant([], shape=[0], dtype=tf.int32)
means = tf.constant((1), dtype=tf.float32)
stdevs = tf.constant((1), dtype=tf.float32)
minvals = tf.constant((1), dtype=tf.float32)
maxvals = tf.constant((1), dtype=tf.float32)

tf.raw_ops.ParameterizedTruncatedNormal(
  shape=shape, means=means, stdevs=stdevs, minvals=minvals, maxvals=maxvals)

This is because the implementation does not validate input arguments before accessing the first element of shape:

int32 num_batches = shape_tensor.flat<int32>()(0);

If shape argument is empty, then shape_tensor.flat<T>() is an empty array.

Patches

We have patched the issue in GitHub commit 5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8.

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"
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              "fixed": "2.1.4"
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      "package": {
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              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
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          "type": "ECOSYSTEM"
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      ]
    },
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      "package": {
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        "name": "tensorflow"
      },
      "ranges": [
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          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
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          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
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        }
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    },
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          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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          "events": [
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              "introduced": "2.3.0"
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    },
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        "name": "tensorflow-cpu"
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      "ranges": [
        {
          "events": [
            {
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            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
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              "introduced": "0"
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            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
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          "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"
            }
          ],
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        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29568"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476",
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T19:11:12Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`:\n\n```python\nimport tensorflow as tf\n    \nshape = tf.constant([], shape=[0], dtype=tf.int32)\nmeans = tf.constant((1), dtype=tf.float32)\nstdevs = tf.constant((1), dtype=tf.float32)\nminvals = tf.constant((1), dtype=tf.float32)\nmaxvals = tf.constant((1), dtype=tf.float32)\n  \ntf.raw_ops.ParameterizedTruncatedNormal(\n  shape=shape, means=means, stdevs=stdevs, minvals=minvals, maxvals=maxvals)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`:\n\n```cc\nint32 num_batches = shape_tensor.flat\u003cint32\u003e()(0);\n``` \n\nIf `shape` argument is empty, then `shape_tensor.flat\u003cT\u003e()` is an empty array.\n\n### Patches\nWe have patched the issue in GitHub commit [5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8](https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8).\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-4p4p-www8-8fv9",
  "modified": "2024-11-01T17:05:06Z",
  "published": "2021-05-21T14:25:19Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4p4p-www8-8fv9"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29568"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-496.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-694.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-205.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": "Reference binding to null in `ParameterizedTruncatedNormal`"
}

GHSA-4Q24-RV9C-M9WM

Vulnerability from github – Published: 2022-04-29 01:27 – Updated: 2022-04-29 01:27
VLAI
Details

ldbm_back_exop_passwd in the back-ldbm backend in passwd.c for OpenLDAP 2.1.12 and earlier, when the slap_passwd_parse function does not return LDAP_SUCCESS, attempts to free an uninitialized pointer, which allows remote attackers to cause a denial of service (segmentation fault).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2003-1201"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2003-03-20T05:00:00Z",
    "severity": "MODERATE"
  },
  "details": "ldbm_back_exop_passwd in the back-ldbm backend in passwd.c for OpenLDAP 2.1.12 and earlier, when the slap_passwd_parse function does not return LDAP_SUCCESS, attempts to free an uninitialized pointer, which allows remote attackers to cause a denial of service (segmentation fault).",
  "id": "GHSA-4q24-rv9c-m9wm",
  "modified": "2022-04-29T01:27:40Z",
  "published": "2022-04-29T01:27:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2003-1201"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/12520"
    },
    {
      "type": "WEB",
      "url": "http://distro.conectiva.com.br/atualizacoes/?id=a\u0026anuncio=000685"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/11261"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/9203"
    },
    {
      "type": "WEB",
      "url": "http://security.gentoo.org/glsa/glsa-200403-12.xml"
    },
    {
      "type": "WEB",
      "url": "http://www.openldap.org/its/index.cgi?findid=2390"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/17000"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/7656"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-4Q6J-QGRQ-8X6X

Vulnerability from github – Published: 2025-08-12 21:31 – Updated: 2025-08-12 21:31
VLAI
Details

InDesign Desktop versions 20.4, 19.5.4 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

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{
  "affected": [],
  "aliases": [
    "CVE-2025-54207"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-12T21:15:39Z",
    "severity": "HIGH"
  },
  "details": "InDesign Desktop versions 20.4, 19.5.4 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-4q6j-qgrq-8x6x",
  "modified": "2025-08-12T21:31:22Z",
  "published": "2025-08-12T21:31:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54207"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/indesign/apsb25-79.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4RPC-XHHQ-H2CQ

Vulnerability from github – Published: 2023-03-29 21:30 – Updated: 2023-04-07 15:30
VLAI
Details

This vulnerability allows remote attackers to execute arbitrary code on affected installations of IronCAD. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of STP files. When parsing the VECTOR element, the process does not properly initialize a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17672.

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{
  "affected": [],
  "aliases": [
    "CVE-2022-43609"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-29T19:15:00Z",
    "severity": "HIGH"
  },
  "details": "This vulnerability allows remote attackers to execute arbitrary code on affected installations of IronCAD. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of STP files. When parsing the VECTOR element, the process does not properly initialize a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17672.",
  "id": "GHSA-4rpc-xhhq-h2cq",
  "modified": "2023-04-07T15:30:40Z",
  "published": "2023-03-29T21:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-43609"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1467"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4VM9-9998-95C3

Vulnerability from github – Published: 2022-05-13 01:35 – Updated: 2022-05-13 01:35
VLAI
Details

This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader 9.0.0.29935. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of U3D Node objects. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code under the context of the current process. Was ZDI-CAN-5411.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-10484"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-05-17T15:29:00Z",
    "severity": "HIGH"
  },
  "details": "This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader 9.0.0.29935. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of U3D Node objects. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code under the context of the current process. Was ZDI-CAN-5411.",
  "id": "GHSA-4vm9-9998-95c3",
  "modified": "2022-05-13T01:35:03Z",
  "published": "2022-05-13T01:35:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-10484"
    },
    {
      "type": "WEB",
      "url": "https://www.foxitsoftware.com/support/security-bulletins.php"
    },
    {
      "type": "WEB",
      "url": "https://zerodayinitiative.com/advisories/ZDI-18-394"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

No mitigation information available for this CWE.

No CAPEC attack patterns related to this CWE.