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.

15536 vulnerabilities reference this CWE, most recent first.

GHSA-8PF4-F4W9-6H78

Vulnerability from github – Published: 2022-09-27 00:00 – Updated: 2025-05-21 21:31
VLAI
Details

Use after free in Layout in Google Chrome prior to 105.0.5195.52 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-3040"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-416",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-26T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "Use after free in Layout in Google Chrome prior to 105.0.5195.52 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.",
  "id": "GHSA-8pf4-f4w9-6h78",
  "modified": "2025-05-21T21:31:08Z",
  "published": "2022-09-27T00:00:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3040"
    },
    {
      "type": "WEB",
      "url": "https://chromereleases.googleblog.com/2022/08/stable-channel-update-for-desktop_30.html"
    },
    {
      "type": "WEB",
      "url": "https://crbug.com/1341539"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/T4NMJURTG5RO3TGD7ZMIQ6Z4ZZ3SAVYE"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/T4NMJURTG5RO3TGD7ZMIQ6Z4ZZ3SAVYE"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202209-23"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8PG4-GW9P-QV32

Vulnerability from github – Published: 2025-06-26 21:31 – Updated: 2025-06-26 21:31
VLAI
Details

PDF-XChange Editor PRC File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 PRC files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26729.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-6654"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-25T22:15:23Z",
    "severity": "HIGH"
  },
  "details": "PDF-XChange Editor PRC File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 PRC files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26729.",
  "id": "GHSA-8pg4-gw9p-qv32",
  "modified": "2025-06-26T21:31:15Z",
  "published": "2025-06-26T21:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-6654"
    },
    {
      "type": "WEB",
      "url": "https://www.pdf-xchange.com/support/security-bulletins.html"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-439"
    }
  ],
  "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-8PHR-8WXP-777P

Vulnerability from github – Published: 2022-05-24 19:12 – Updated: 2022-07-03 00:00
VLAI
Details

Cscape (All Versions prior to 9.90 SP5) lacks proper validation of user-supplied data when parsing project files. This could lead to an out-of-bounds write. An attacker could leverage this vulnerability to execute code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-32995"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-08-25T19:15:00Z",
    "severity": "HIGH"
  },
  "details": "Cscape (All Versions prior to 9.90 SP5) lacks proper validation of user-supplied data when parsing project files. This could lead to an out-of-bounds write. An attacker could leverage this vulnerability to execute code in the context of the current process.",
  "id": "GHSA-8phr-8wxp-777p",
  "modified": "2022-07-03T00:00:24Z",
  "published": "2022-05-24T19:12:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-32995"
    },
    {
      "type": "WEB",
      "url": "https://us-cert.cisa.gov/ics/advisories/icsa-21-224-02"
    }
  ],
  "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-8PJ3-J8R8-P2MR

Vulnerability from github – Published: 2025-11-11 18:30 – Updated: 2025-11-11 18:30
VLAI
Details

InCopy versions 20.5, 19.5.5 and earlier are affected by a Heap-based Buffer Overflow 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-2025-61816"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-122",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-11-11T17:15:52Z",
    "severity": "HIGH"
  },
  "details": "InCopy versions 20.5, 19.5.5 and earlier are affected by a Heap-based Buffer Overflow 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-8pj3-j8r8-p2mr",
  "modified": "2025-11-11T18:30:20Z",
  "published": "2025-11-11T18:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-61816"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/incopy/apsb25-107.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-8PJJ-4MJC-WX45

Vulnerability from github – Published: 2025-09-17 21:30 – Updated: 2025-09-17 21:30
VLAI
Details

Ashlar-Vellum Cobalt AR File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. 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 AR files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-25982.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-7996"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-17T21:15:41Z",
    "severity": "HIGH"
  },
  "details": "Ashlar-Vellum Cobalt AR File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. 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 AR files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-25982.",
  "id": "GHSA-8pjj-4mjc-wx45",
  "modified": "2025-09-17T21:30:44Z",
  "published": "2025-09-17T21:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-7996"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-716"
    }
  ],
  "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-8PJV-4CVR-48F4

Vulnerability from github – Published: 2023-05-31 21:31 – Updated: 2024-04-04 04:27
VLAI
Details

H3C Magic R300 version R300-2100MV100R004 was discovered to contain a stack overflow via the UpdateMacClone interface at /goform/aspForm.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-33635"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-05-31T21:15:09Z",
    "severity": "HIGH"
  },
  "details": "H3C Magic R300 version R300-2100MV100R004 was discovered to contain a stack overflow via the UpdateMacClone interface at /goform/aspForm.",
  "id": "GHSA-8pjv-4cvr-48f4",
  "modified": "2024-04-04T04:27:00Z",
  "published": "2023-05-31T21:31:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-33635"
    },
    {
      "type": "WEB",
      "url": "https://hackmd.io/%400dayResearch/UpdateMacClone"
    },
    {
      "type": "WEB",
      "url": "https://hackmd.io/@0dayResearch/UpdateMacClone"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8PMQ-GQVC-HJJ8

Vulnerability from github – Published: 2023-08-10 03:30 – Updated: 2024-04-04 06:46
VLAI
Details

Out-of-bounds Write in RmtUimApdu of libsec-ril prior to SMR Aug-2023 Release 1 allows local attacker to execute arbitrary code.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-30687"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-10T02:15:11Z",
    "severity": "HIGH"
  },
  "details": "Out-of-bounds Write in RmtUimApdu of libsec-ril prior to SMR Aug-2023 Release 1 allows local attacker to execute arbitrary code.",
  "id": "GHSA-8pmq-gqvc-hjj8",
  "modified": "2024-04-04T06:46:14Z",
  "published": "2023-08-10T03:30:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-30687"
    },
    {
      "type": "WEB",
      "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2023\u0026month=08"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8PMX-P244-G88H

Vulnerability from github – Published: 2021-05-21 14:28 – Updated: 2024-11-13 16:26
VLAI
Summary
Interpreter crash from `tf.io.decode_raw`
Details

Impact

The implementation of tf.io.decode_raw produces incorrect results and crashes the Python interpreter when combining fixed_length and wider datatypes.

import tensorflow as tf

tf.io.decode_raw(tf.constant(["1","2","3","4"]), tf.uint16, fixed_length=4)

The implementation of the padded version is buggy due to a confusion about pointer arithmetic rules.

First, the code computes the width of each output element by dividing the fixed_length value to the size of the type argument:

int width = fixed_length / sizeof(T);

The fixed_length argument is also used to determine the size needed for the output tensor:

TensorShape out_shape = input.shape();
out_shape.AddDim(width);
Tensor* output_tensor = nullptr;
OP_REQUIRES_OK(context, context->allocate_output("output", out_shape, &output_tensor));

auto out = output_tensor->flat_inner_dims<T>();
T* out_data = out.data();
memset(out_data, 0, fixed_length * flat_in.size());

This is followed by reencoding code:

for (int64 i = 0; i < flat_in.size(); ++i) {
  const T* in_data = reinterpret_cast<const T*>(flat_in(i).data());

  if (flat_in(i).size() > fixed_length) {
    memcpy(out_data, in_data, fixed_length);
  } else {
    memcpy(out_data, in_data, flat_in(i).size());
  }
  out_data += fixed_length;
}

The erroneous code is the last line above: it is moving the out_data pointer by fixed_length * sizeof(T) bytes whereas it only copied at most fixed_length bytes from the input. This results in parts of the input not being decoded into the output.

Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory.

Patches

We have patched the issue in GitHub commit 698e01511f62a3c185754db78ebce0eee1f0184d.

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.

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": [
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            },
            {
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        }
      ]
    },
    {
      "package": {
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      },
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            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
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      "package": {
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            }
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      ]
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        "name": "tensorflow-cpu"
      },
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        }
      ]
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        "name": "tensorflow-cpu"
      },
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            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
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        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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    },
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        "name": "tensorflow-cpu"
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        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
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        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
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        "name": "tensorflow-gpu"
      },
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            {
              "introduced": "2.2.0"
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            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
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        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
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          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
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        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29614"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-665",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-17T21:25:08Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nThe implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes.\n\n```python\nimport tensorflow as tf\n\ntf.io.decode_raw(tf.constant([\"1\",\"2\",\"3\",\"4\"]), tf.uint16, fixed_length=4)\n```                \n                   \nThe [implementation of the padded version](https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules.\n\nFirst, the code [computes](https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument:\n\n```cc\nint width = fixed_length / sizeof(T);\n```\n\nThe `fixed_length` argument is also used to determine the [size needed for the output tensor](https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79):\n\n```cc\nTensorShape out_shape = input.shape();\nout_shape.AddDim(width);\nTensor* output_tensor = nullptr;\nOP_REQUIRES_OK(context, context-\u003eallocate_output(\"output\", out_shape, \u0026output_tensor));\n\nauto out = output_tensor-\u003eflat_inner_dims\u003cT\u003e();\nT* out_data = out.data();\nmemset(out_data, 0, fixed_length * flat_in.size());\n```\n\nThis is followed by [reencoding code](https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94):\n\n```cc\nfor (int64 i = 0; i \u003c flat_in.size(); ++i) {\n  const T* in_data = reinterpret_cast\u003cconst T*\u003e(flat_in(i).data());\n\n  if (flat_in(i).size() \u003e fixed_length) {\n    memcpy(out_data, in_data, fixed_length);\n  } else {\n    memcpy(out_data, in_data, flat_in(i).size());\n  }\n  out_data += fixed_length;\n}\n```\n\nThe erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output.\n\nFurthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory.\n\n### Patches\nWe have patched the issue in GitHub commit [698e01511f62a3c185754db78ebce0eee1f0184d](https://github.com/tensorflow/tensorflow/commit/698e01511f62a3c185754db78ebce0eee1f0184d).\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.",
  "id": "GHSA-8pmx-p244-g88h",
  "modified": "2024-11-13T16:26:19Z",
  "published": "2021-05-21T14:28:42Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8pmx-p244-g88h"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29614"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/698e01511f62a3c185754db78ebce0eee1f0184d"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-542.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-740.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-251.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:N/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Interpreter crash from `tf.io.decode_raw`"
}

GHSA-8PP4-337X-268V

Vulnerability from github – Published: 2022-05-24 16:48 – Updated: 2024-04-04 00:58
VLAI
Details

formats/xml.cpp in Leanify 0.4.3 allows for a controlled out-of-bounds write in xml_memory_writer::write via characters that require escaping.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-12835"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-06-15T19:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "formats/xml.cpp in Leanify 0.4.3 allows for a controlled out-of-bounds write in xml_memory_writer::write via characters that require escaping.",
  "id": "GHSA-8pp4-337x-268v",
  "modified": "2024-04-04T00:58:23Z",
  "published": "2022-05-24T16:48:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-12835"
    },
    {
      "type": "WEB",
      "url": "https://github.com/JayXon/Leanify/issues/52"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-8PPF-487M-VJ6F

Vulnerability from github – Published: 2023-03-08 00:30 – Updated: 2023-03-11 03:30
VLAI
Details

Heap buffer overflow in Web Audio API in Google Chrome prior to 111.0.5563.64 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: Medium)

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-1222"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-07T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "Heap buffer overflow in Web Audio API in Google Chrome prior to 111.0.5563.64 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: Medium)",
  "id": "GHSA-8ppf-487m-vj6f",
  "modified": "2023-03-11T03:30:17Z",
  "published": "2023-03-08T00:30:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1222"
    },
    {
      "type": "WEB",
      "url": "https://chromereleases.googleblog.com/2023/03/stable-channel-update-for-desktop.html"
    },
    {
      "type": "WEB",
      "url": "https://crbug.com/1403515"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/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.