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.

15535 vulnerabilities reference this CWE, most recent first.

GHSA-7CM5-9QC6-J36Q

Vulnerability from github – Published: 2023-05-08 21:31 – Updated: 2024-04-04 03:51
VLAI
Details

The issue was addressed with improved memory handling. This issue is fixed in macOS Ventura 13.3, macOS Monterey 12.6.4, macOS Big Sur 11.7.5. A remote user may be able to cause unexpected system termination or corrupt kernel memory

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-27953"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-05-08T20:15:18Z",
    "severity": "CRITICAL"
  },
  "details": "The issue was addressed with improved memory handling. This issue is fixed in macOS Ventura 13.3, macOS Monterey 12.6.4, macOS Big Sur 11.7.5. A remote user may be able to cause unexpected system termination or corrupt kernel memory",
  "id": "GHSA-7cm5-9qc6-j36q",
  "modified": "2024-04-04T03:51:58Z",
  "published": "2023-05-08T21:31:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-27953"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT213670"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT213675"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT213677"
    },
    {
      "type": "WEB",
      "url": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2022-1688"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-7CQ4-VRJ8-97J4

Vulnerability from github – Published: 2022-05-13 01:18 – Updated: 2022-05-13 01:18
VLAI
Details

Internet Explorer in Microsoft Windows 7 SP1, Windows Server 2008 R2 SP1, Windows 8.1 and Windows RT 8.1, Windows Server 2012 and R2, and Windows 10 Gold, 1511, 1607, 1703, 1709, and Windows Server 2016 allow information disclosure, due to how Internet Explorer handles objects in memory, aka "Internet Explorer Information Disclosure Vulnerability".

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-0847"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-02-15T02:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Internet Explorer in Microsoft Windows 7 SP1, Windows Server 2008 R2 SP1, Windows 8.1 and Windows RT 8.1, Windows Server 2012 and R2, and Windows 10 Gold, 1511, 1607, 1703, 1709, and Windows Server 2016 allow information disclosure, due to how Internet Explorer handles objects in memory, aka \"Internet Explorer Information Disclosure Vulnerability\".",
  "id": "GHSA-7cq4-vrj8-97j4",
  "modified": "2022-05-13T01:18:33Z",
  "published": "2022-05-13T01:18:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-0847"
    },
    {
      "type": "WEB",
      "url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-0847"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/102861"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1040370"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-7CQ7-WHWR-8M7W

Vulnerability from github – Published: 2022-05-24 17:40 – Updated: 2022-05-24 17:40
VLAI
Details

An issue was discovered on Accfly Wireless Security IR Camera System 720P with software versions v3.10.73 through v4.15.77. There is an unauthenticated stack-based buffer overflow in the function CNetClientGuard::SubOprMsg during incoming message handling.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-25784"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-01-28T03:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An issue was discovered on Accfly Wireless Security IR Camera System 720P with software versions v3.10.73 through v4.15.77. There is an unauthenticated stack-based buffer overflow in the function CNetClientGuard::SubOprMsg during incoming message handling.",
  "id": "GHSA-7cq7-whwr-8m7w",
  "modified": "2022-05-24T17:40:30Z",
  "published": "2022-05-24T17:40:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-25784"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tezeb/accfly/blob/master/Readme.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-7CQH-JX43-54C9

Vulnerability from github – Published: 2022-09-26 00:00 – Updated: 2022-09-29 00:00
VLAI
Details

Stack-based Buffer Overflow in GitHub repository vim/vim prior to 9.0.0577.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-3296"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-25T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "Stack-based Buffer Overflow in GitHub repository vim/vim prior to 9.0.0577.",
  "id": "GHSA-7cqh-jx43-54c9",
  "modified": "2022-09-29T00:00:24Z",
  "published": "2022-09-26T00:00:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3296"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vim/vim/commit/96b9bf8f74af8abf1e30054f996708db7dc285be"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/958866b8-526a-4979-9471-39392e0c9077"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4QI7AETXBHPC7SGA77Q7O5IEGULWYET7"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GTBVD4J2SKVSWK4VBN5JP5OEVK6GDS3N"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/LSSEWQLK55MCNT4Z2IIJEJYEI5HLCODI"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202305-16"
    }
  ],
  "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-7CQX-92HP-X6WH

Vulnerability from github – Published: 2021-05-21 14:26 – Updated: 2024-11-01 17:11
VLAI
Summary
Heap buffer overflow in `MaxPool3DGradGrad`
Details

Impact

The implementation of tf.raw_ops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow:

import tensorflow as tf

values = [0.01] * 11
orig_input = tf.constant(values, shape=[11, 1, 1, 1, 1], dtype=tf.float32)
orig_output = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
grad = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
ksize = [1, 1, 1, 1, 1]
strides = [1, 1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.MaxPool3DGradGrad(
    orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize,
    strides=strides, padding=padding)

The implementation does not check that the initialization of Pool3dParameters completes successfully:

Pool3dParameters params{context,  ksize_,       stride_,
                        padding_, data_format_, tensor_in.shape()};

Since the constructor uses OP_REQUIRES to validate conditions, the first assertion that fails interrupts the initialization of params, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values.

Patches

We have patched the issue in GitHub commit 63c6a29d0f2d692b247f7bf81f8732d6442fad09.

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-2021-29576"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T18:23:59Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nThe implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow: \n\n```python\nimport tensorflow as tf\n\nvalues = [0.01] * 11\norig_input = tf.constant(values, shape=[11, 1, 1, 1, 1], dtype=tf.float32)\norig_output = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)\ngrad = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)\nksize = [1, 1, 1, 1, 1]\nstrides = [1, 1, 1, 1, 1]\npadding = \"SAME\"\n\ntf.raw_ops.MaxPool3DGradGrad(\n    orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize,\n    strides=strides, padding=padding)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully:\n\n```cc\nPool3dParameters params{context,  ksize_,       stride_,\n                        padding_, data_format_, tensor_in.shape()};\n```\n\nSince [the constructor](https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values.\n\n### Patches\nWe have patched the issue in GitHub commit [63c6a29d0f2d692b247f7bf81f8732d6442fad09](https://github.com/tensorflow/tensorflow/commit/63c6a29d0f2d692b247f7bf81f8732d6442fad09).\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-7cqx-92hp-x6wh",
  "modified": "2024-11-01T17:11:03Z",
  "published": "2021-05-21T14:26:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7cqx-92hp-x6wh"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29576"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/63c6a29d0f2d692b247f7bf81f8732d6442fad09"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-504.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-702.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-213.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 `MaxPool3DGradGrad`"
}

GHSA-7CR5-9WW8-9R7W

Vulnerability from github – Published: 2022-05-24 17:46 – Updated: 2022-05-24 17:46
VLAI
Details

Memory corruption due to invalid value of total dimension in the non-histogram type KPI could lead to a denial of service in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Mobile

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-11236"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-04-07T08:15:00Z",
    "severity": "HIGH"
  },
  "details": "Memory corruption due to invalid value of total dimension in the non-histogram type KPI could lead to a denial of service in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Mobile",
  "id": "GHSA-7cr5-9ww8-9r7w",
  "modified": "2022-05-24T17:46:42Z",
  "published": "2022-05-24T17:46:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-11236"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/april-2021-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-7CRQ-FR5P-GW4F

Vulnerability from github – Published: 2024-05-03 03:30 – Updated: 2024-05-03 03:30
VLAI
Details

D-Link DAP-2622 DDP Set AG Profile NMS URL Stack-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of D-Link DAP-2622 routers. Authentication is not required to exploit this vulnerability.

The specific flaw exists within the DDP service. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-20082.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-35754"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-03T02:15:40Z",
    "severity": "HIGH"
  },
  "details": "D-Link DAP-2622 DDP Set AG Profile NMS URL Stack-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of D-Link DAP-2622 routers. Authentication is not required to exploit this vulnerability.\n\nThe specific flaw exists within the DDP service. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-20082.",
  "id": "GHSA-7crq-fr5p-gw4f",
  "modified": "2024-05-03T03:30:53Z",
  "published": "2024-05-03T03:30:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-35754"
    },
    {
      "type": "WEB",
      "url": "https://supportannouncement.us.dlink.com/announcement/publication.aspx?name=SAP10349"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-23-1259"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-7CV4-MXXR-4VXG

Vulnerability from github – Published: 2024-09-30 21:31 – Updated: 2025-01-29 18:31
VLAI
Details

A maliciously crafted DWFX file, when parsed in dwfcore.dll through Autodesk Navisworks, can force an Out-of-Bounds Write. A malicious actor can leverage this vulnerability to cause a crash, write sensitive data, or execute arbitrary code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-7671"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-09-30T21:15:03Z",
    "severity": "HIGH"
  },
  "details": "A maliciously crafted DWFX file, when parsed in dwfcore.dll through Autodesk Navisworks, can force an Out-of-Bounds Write. A malicious actor can leverage this vulnerability to cause a crash, write sensitive data, or execute arbitrary code in the context of the current process.",
  "id": "GHSA-7cv4-mxxr-4vxg",
  "modified": "2025-01-29T18:31:19Z",
  "published": "2024-09-30T21:31:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-7671"
    },
    {
      "type": "WEB",
      "url": "https://autodesk.com/trust/security-advisories/adsk-sa-2024-0015"
    },
    {
      "type": "WEB",
      "url": "https://www.autodesk.com/trust/security-advisories/adsk-sa-2024-0015"
    }
  ],
  "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-7CVM-H7HP-C4VV

Vulnerability from github – Published: 2022-05-24 17:21 – Updated: 2025-05-05 18:30
VLAI
Details

Adobe Bridge versions 10.0.1 and earlier version have a memory corruption vulnerability. Successful exploitation could lead to arbitrary code execution .

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-9568"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-06-26T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "Adobe Bridge versions 10.0.1 and earlier version have a memory corruption vulnerability. Successful exploitation could lead to arbitrary code execution .",
  "id": "GHSA-7cvm-h7hp-c4vv",
  "modified": "2025-05-05T18:30:45Z",
  "published": "2022-05-24T17:21:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-9568"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/bridge/apsb20-19.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-7CWX-58FG-FMMX

Vulnerability from github – Published: 2022-05-24 17:34 – Updated: 2022-05-24 17:34
VLAI
Details

A CWE-787 Out-of-bounds Write vulnerability exists in IGSS Definition (Def.exe) version 14.0.0.20247 that could cause Remote Code Execution when malicious CGF (Configuration Group File) file is imported to IGSS Definition.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-7553"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-11-19T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "A CWE-787 Out-of-bounds Write vulnerability exists in IGSS Definition (Def.exe) version 14.0.0.20247 that could cause Remote Code Execution when malicious CGF (Configuration Group File) file is imported to IGSS Definition.",
  "id": "GHSA-7cwx-58fg-fmmx",
  "modified": "2022-05-24T17:34:42Z",
  "published": "2022-05-24T17:34:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-7553"
    },
    {
      "type": "WEB",
      "url": "https://www.se.com/ww/en/download/document/SEVD-2020-315-03"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-21-124"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

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.