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Common Weakness Enumeration

CWE-787

Allowed-with-Review

Out-of-bounds Write

Abstraction: Base · Status: Draft

The product writes data past the end, or before the beginning, of the intended buffer.

15696 vulnerabilities reference this CWE, most recent first.

GHSA-8GV3-57P6-G35R

Vulnerability from github – Published: 2021-05-21 14:24 – Updated: 2024-11-01 16:58
VLAI
Summary
Heap buffer overflow in `RaggedTensorToTensor`
Details

Impact

An attacker can cause a heap buffer overflow in tf.raw_ops.RaggedTensorToTensor:

import tensorflow as tf

shape = tf.constant([10, 10], shape=[2], dtype=tf.int64)
values = tf.constant(0, shape=[1], dtype=tf.int64)
default_value = tf.constant(0, dtype=tf.int64)
l = [849, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
row = tf.constant(l, shape=[5, 43], dtype=tf.int64)
rows = [row]
types = ['ROW_SPLITS']

tf.raw_ops.RaggedTensorToTensor(
    shape=shape, values=values, default_value=default_value,
    row_partition_tensors=rows, row_partition_types=types) 

This is because the implementation uses the same index to access two arrays in parallel:

for (INDEX_TYPE i = 0; i < row_split_size - 1; ++i) {
  INDEX_TYPE row_length = row_split(i + 1) - row_split(i);
  INDEX_TYPE real_length = std::min(output_size, row_length);
  INDEX_TYPE parent_output_index_current = parent_output_index[i];
  ...
}

Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when parent_output_index is shorter than row_split.

Patches

We have patched the issue in GitHub commit a84358aa12f0b1518e606095ab9cfddbf597c121.

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": [
        {
          "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-2021-29560"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T20:23:08Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`:\n\n```python\nimport tensorflow as tf\n\nshape = tf.constant([10, 10], shape=[2], dtype=tf.int64)\nvalues = tf.constant(0, shape=[1], dtype=tf.int64)\ndefault_value = tf.constant(0, dtype=tf.int64)\nl = [849, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\nrow = tf.constant(l, shape=[5, 43], dtype=tf.int64)\nrows = [row]\ntypes = [\u0027ROW_SPLITS\u0027]\n\ntf.raw_ops.RaggedTensorToTensor(\n    shape=shape, values=values, default_value=default_value,\n    row_partition_tensors=rows, row_partition_types=types) \n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel:\n\n```cc\nfor (INDEX_TYPE i = 0; i \u003c row_split_size - 1; ++i) {\n  INDEX_TYPE row_length = row_split(i + 1) - row_split(i);\n  INDEX_TYPE real_length = std::min(output_size, row_length);\n  INDEX_TYPE parent_output_index_current = parent_output_index[i];\n  ...\n}\n```\n\nSince the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`.\n\n### Patches\nWe have patched the issue in GitHub commit [a84358aa12f0b1518e606095ab9cfddbf597c121](https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121).\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-8gv3-57p6-g35r",
  "modified": "2024-11-01T16:58:15Z",
  "published": "2021-05-21T14:24:57Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8gv3-57p6-g35r"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29560"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-488.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-686.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-197.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": "Heap buffer overflow in `RaggedTensorToTensor`"
}

GHSA-8GV9-W486-3G6C

Vulnerability from github – Published: 2022-07-13 00:00 – Updated: 2022-07-13 00:00
VLAI
Details

Windows CSRSS Elevation of Privilege Vulnerability. This CVE ID is unique from CVE-2022-22026, CVE-2022-22047.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-22049"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-07-12T23:15:00Z",
    "severity": "HIGH"
  },
  "details": "Windows CSRSS Elevation of Privilege Vulnerability. This CVE ID is unique from CVE-2022-22026, CVE-2022-22047.",
  "id": "GHSA-8gv9-w486-3g6c",
  "modified": "2022-07-13T00:00:39Z",
  "published": "2022-07-13T00:00:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22049"
    },
    {
      "type": "WEB",
      "url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-22049"
    },
    {
      "type": "WEB",
      "url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2022-22049"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/168069/Windows-sxssrv-BaseSrvActivationContextCacheDuplicateUnicodeString-Heap-Buffer-Overflow.html"
    }
  ],
  "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"
    }
  ]
}

GHSA-8GVC-95PJ-X5R8

Vulnerability from github – Published: 2022-05-24 17:08 – Updated: 2022-05-24 17:08
VLAI
Details

An out-of-bounds heap buffer access flaw was found in the way the iSCSI Block driver in QEMU versions 2.x.x up to and including 2.12.0 handled a response coming from an iSCSI server while checking the status of a Logical Address Block (LBA) in an iscsi_co_block_status() routine. A remote user could use this flaw to crash the QEMU process, resulting in a denial of service or potential execution of arbitrary code with privileges of the QEMU process on the host.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-1711"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-02-11T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An out-of-bounds heap buffer access flaw was found in the way the iSCSI Block driver in QEMU versions 2.x.x up to and including 2.12.0 handled a response coming from an iSCSI server while checking the status of a Logical Address Block (LBA) in an iscsi_co_block_status() routine. A remote user could use this flaw to crash the QEMU process, resulting in a denial of service or potential execution of arbitrary code with privileges of the QEMU process on the host.",
  "id": "GHSA-8gvc-95pj-x5r8",
  "modified": "2022-05-24T17:08:35Z",
  "published": "2022-05-24T17:08:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-1711"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2020:0669"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2020:0730"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2020:0731"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2020:0773"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2020-1711"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2020/03/msg00017.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2020/09/msg00013.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.gnu.org/archive/html/qemu-devel/2020-01/msg05535.html"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202005-02"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/4283-1"
    },
    {
      "type": "WEB",
      "url": "https://www.openwall.com/lists/oss-security/2020/01/23/3"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-04/msg00007.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8GVG-8VHF-H26G

Vulnerability from github – Published: 2021-03-29 20:59 – Updated: 2021-03-18 22:16
VLAI
Summary
Out-of-bounds write
Details

A remote code execution vulnerability exists in the way that the Chakra scripting engine handles objects in memory in Microsoft Edge, aka 'Chakra Scripting Engine Memory Corruption Vulnerability'. This CVE ID is unique from CVE-2019-0912, CVE-2019-0913, CVE-2019-0914, CVE-2019-0915, CVE-2019-0916, CVE-2019-0917, CVE-2019-0922, CVE-2019-0923, CVE-2019-0924, CVE-2019-0925, CVE-2019-0927, CVE-2019-0933.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "Microsoft.ChakraCore"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.11.9"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2019-0937"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-03-18T22:16:06Z",
    "nvd_published_at": "2019-05-16T19:29:00Z",
    "severity": "HIGH"
  },
  "details": "A remote code execution vulnerability exists in the way that the Chakra scripting engine handles objects in memory in Microsoft Edge, aka \u0027Chakra Scripting Engine Memory Corruption Vulnerability\u0027. This CVE ID is unique from CVE-2019-0912, CVE-2019-0913, CVE-2019-0914, CVE-2019-0915, CVE-2019-0916, CVE-2019-0917, CVE-2019-0922, CVE-2019-0923, CVE-2019-0924, CVE-2019-0925, CVE-2019-0927, CVE-2019-0933.",
  "id": "GHSA-8gvg-8vhf-h26g",
  "modified": "2021-03-18T22:16:06Z",
  "published": "2021-03-29T20:59:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-0937"
    },
    {
      "type": "WEB",
      "url": "https://github.com/chakra-core/ChakraCore/commit/7827e117753052d479fabe19a25cfece88059bca"
    },
    {
      "type": "WEB",
      "url": "https://github.com/chakra-core/ChakraCore/commit/d797e3f00e34c12c8c0ae52f56344325439dccd7"
    },
    {
      "type": "WEB",
      "url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2019-0937"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Out-of-bounds write"
}

GHSA-8GVV-H2J2-GQ6F

Vulnerability from github – Published: 2022-03-10 00:00 – Updated: 2022-03-17 00:02
VLAI
Details

HEVC Video Extensions Remote Code Execution Vulnerability. This CVE ID is unique from CVE-2022-22006, CVE-2022-22007, CVE-2022-23301, CVE-2022-24452, CVE-2022-24456.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-24453"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-09T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "HEVC Video Extensions Remote Code Execution Vulnerability. This CVE ID is unique from CVE-2022-22006, CVE-2022-22007, CVE-2022-23301, CVE-2022-24452, CVE-2022-24456.",
  "id": "GHSA-8gvv-h2j2-gq6f",
  "modified": "2022-03-17T00:02:24Z",
  "published": "2022-03-10T00:00:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24453"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mandiant/Vulnerability-Disclosures/blob/master/2022/MNDT-2022-0014/MNDT-2022-0014.md"
    },
    {
      "type": "WEB",
      "url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-24453"
    },
    {
      "type": "WEB",
      "url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2022-24453"
    }
  ],
  "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-8GVX-RR8C-CG67

Vulnerability from github – Published: 2024-10-02 18:31 – Updated: 2024-10-02 18:31
VLAI
Details

A vulnerability in the web-based management interface of Cisco Small Business RV042, RV042G, RV320, and RV325 Routers could allow an authenticated, Administrator-level, remote attacker to cause an unexpected reload of an affected device, resulting in a denial of service (DoS) condition. To exploit this vulnerability, an attacker would need to have valid Administrator credentials on the affected device.   This vulnerability is due to improper validation of user input that is in incoming HTTP packets. An attacker could exploit this vulnerability by sending a crafted HTTP request to the web-based management interface of the affected device. A successful exploit could allow the attacker to cause an unexpected reload of the device, resulting in a DoS condition.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-20517"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-122",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-02T17:15:18Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability in the web-based management interface of Cisco Small Business RV042, RV042G, RV320, and RV325 Routers could allow an authenticated, Administrator-level, remote attacker to cause an unexpected reload of an affected device, resulting in a denial of service (DoS) condition. To exploit this vulnerability, an attacker would need to have valid Administrator credentials on the affected device.\n\u0026nbsp;\nThis vulnerability is due to improper validation of user input that is in incoming HTTP packets. An attacker could exploit this vulnerability by sending a crafted HTTP request to the web-based management interface of the affected device. A successful exploit could allow the attacker to cause an unexpected reload of the device, resulting in a DoS condition.",
  "id": "GHSA-8gvx-rr8c-cg67",
  "modified": "2024-10-02T18:31:33Z",
  "published": "2024-10-02T18:31:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-20517"
    },
    {
      "type": "WEB",
      "url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-sb-rv04x_rv32x_vulns-yJ2OSDhV"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8GWM-5RH4-XG46

Vulnerability from github – Published: 2022-04-12 00:00 – Updated: 2022-04-20 00:01
VLAI
Details

A maliciously crafted DWF file in Autodesk AutoCAD 2022, 2021, 2020, 2019 and Autodesk Navisworks 2022 can be used to write beyond the allocated boundaries when parsing the DWF files. Exploitation of this vulnerability may lead to code execution.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-25790"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-11T20:15:00Z",
    "severity": "HIGH"
  },
  "details": "A maliciously crafted DWF file in Autodesk AutoCAD 2022, 2021, 2020, 2019 and Autodesk Navisworks 2022 can be used to write beyond the allocated boundaries when parsing the DWF files. Exploitation of this vulnerability may lead to code execution.",
  "id": "GHSA-8gwm-5rh4-xg46",
  "modified": "2022-04-20T00:01:09Z",
  "published": "2022-04-12T00:00:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-25790"
    },
    {
      "type": "WEB",
      "url": "https://www.autodesk.com/trust/security-advisories/adsk-sa-2022-0005"
    }
  ],
  "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-8GX6-V9P7-FR2F

Vulnerability from github – Published: 2025-05-02 18:31 – Updated: 2025-11-12 21:31
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

ocfs2: fix data corruption after failed write

When buffered write fails to copy data into underlying page cache page, ocfs2_write_end_nolock() just zeroes out and dirties the page. This can leave dirty page beyond EOF and if page writeback tries to write this page before write succeeds and expands i_size, page gets into inconsistent state where page dirty bit is clear but buffer dirty bits stay set resulting in page data never getting written and so data copied to the page is lost. Fix the problem by invalidating page beyond EOF after failed write.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-53081"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-05-02T16:15:27Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nocfs2: fix data corruption after failed write\n\nWhen buffered write fails to copy data into underlying page cache page,\nocfs2_write_end_nolock() just zeroes out and dirties the page.  This can\nleave dirty page beyond EOF and if page writeback tries to write this page\nbefore write succeeds and expands i_size, page gets into inconsistent\nstate where page dirty bit is clear but buffer dirty bits stay set\nresulting in page data never getting written and so data copied to the\npage is lost.  Fix the problem by invalidating page beyond EOF after\nfailed write.",
  "id": "GHSA-8gx6-v9p7-fr2f",
  "modified": "2025-11-12T21:31:00Z",
  "published": "2025-05-02T18:31:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53081"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1629f6f522b2d058019710466a84b240683bbee3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/205759c6c18f54659b0b5976b14a52d1b3eb9f57"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/47eb055ad3588fc96d34e9e1dd87b210ce62906b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4c24eb49ab44351424ac8fe8567f91ea48a06089"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/90410bcf873cf05f54a32183afff0161f44f9715"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/91d7a4bd5656552d6259e2d0f8859f9e8cc5ef68"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a9e53869cb43c96d6d851c491fd4e26430ab6ba6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c26f3ff4c0be590c1250f945ac2e4fc5fcdc5f45"
    }
  ],
  "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"
    }
  ]
}

GHSA-8GX7-747G-J239

Vulnerability from github – Published: 2025-10-14 12:31 – Updated: 2025-10-14 15:31
VLAI
Details

In wlan AP driver, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation. Patch ID: WCNCR00419945; Issue ID: MSV-3581.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-20718"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-14T10:15:36Z",
    "severity": "HIGH"
  },
  "details": "In wlan AP driver, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation. Patch ID: WCNCR00419945; Issue ID: MSV-3581.",
  "id": "GHSA-8gx7-747g-j239",
  "modified": "2025-10-14T15:31:25Z",
  "published": "2025-10-14T12:31:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-20718"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/October-2025"
    }
  ],
  "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"
    }
  ]
}

GHSA-8GXG-QX47-FX77

Vulnerability from github – Published: 2023-07-06 21:14 – Updated: 2024-04-04 05:43
VLAI
Details

An authenticated, remote attacker may use a stack based out-of-bounds write vulnerability in the CmpTraceMgr Component of multiple CODESYS products in multiple versions to write data into the stack which can lead to a denial-of-service condition, memory overwriting, or remote code execution.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-47388"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-05-15T10:15:10Z",
    "severity": "HIGH"
  },
  "details": "An authenticated, remote attacker may use a stack based out-of-bounds write vulnerability in the CmpTraceMgr Component of multiple CODESYS products in multiple versions to write data into the stack which can lead\u00a0to a denial-of-service condition, memory overwriting, or remote code execution.",
  "id": "GHSA-8gxg-qx47-fx77",
  "modified": "2024-04-04T05:43:01Z",
  "published": "2023-07-06T21:14:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-47388"
    },
    {
      "type": "WEB",
      "url": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=17554\u0026token=5444f53b4c90fe37043671a100dffa75305d1825\u0026download="
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

Mitigation MIT-3
Requirements

Strategy: Language Selection

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
  • Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Mitigation MIT-4.1
Architecture and Design

Strategy: Libraries or Frameworks

  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Mitigation MIT-10
Operation Build and Compilation

Strategy: Environment Hardening

  • Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
  • D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
Mitigation MIT-9
Implementation
  • Consider adhering to the following rules when allocating and managing an application's memory:
  • Double check that the buffer is as large as specified.
  • When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
  • Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
  • If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Mitigation MIT-11
Operation Build and Compilation

Strategy: Environment Hardening

  • Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
  • Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
  • For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
Mitigation MIT-12
Operation

Strategy: Environment Hardening

  • Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
  • For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Mitigation MIT-13
Implementation

Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.

No CAPEC attack patterns related to this CWE.