Common Weakness Enumeration

CWE-125

Allowed

Out-of-bounds Read

Abstraction: Base · Status: Draft

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

11344 vulnerabilities reference this CWE, most recent first.

GHSA-22VC-9PQ7-FP6Q

Vulnerability from github – Published: 2023-01-26 21:30 – Updated: 2024-11-27 21:32
VLAI
Details

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 U3D files. Crafted data in a U3D file can trigger a read 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-18340.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-41150"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-26T18:59:00Z",
    "severity": "HIGH"
  },
  "details": "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 U3D files. Crafted data in a U3D file can trigger a read 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-18340.",
  "id": "GHSA-22vc-9pq7-fp6q",
  "modified": "2024-11-27T21:32:36Z",
  "published": "2023-01-26T21:30:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41150"
    },
    {
      "type": "WEB",
      "url": "https://www.tracker-software.com/product/pdf-xchange-editor/history"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1347"
    }
  ],
  "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-22WM-233J-CQ8Q

Vulnerability from github – Published: 2022-04-19 00:00 – Updated: 2022-04-24 00:00
VLAI
Details

Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser::read_facet() fh->boundary_entry_objects SLoop_of.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-28625"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-129"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-18T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser\u003cEW\u003e::read_facet() fh-\u003eboundary_entry_objects SLoop_of.",
  "id": "GHSA-22wm-233j-cq8q",
  "modified": "2022-04-24T00:00:30Z",
  "published": "2022-04-19T00:00:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-28625"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2022/12/msg00011.html"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202305-34"
    },
    {
      "type": "WEB",
      "url": "https://talosintelligence.com/vulnerability_reports/TALOS-2020-1225"
    }
  ],
  "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-233P-6M42-WJ2R

Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-17 18:35
VLAI
Details

Out of bounds read in Chromoting in Google Chrome on Windows prior to 149.0.7827.155 allowed a local attacker to obtain potentially sensitive information from process memory via a malicious file. (Chromium security severity: High)

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-12444"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-17T13:19:59Z",
    "severity": "MODERATE"
  },
  "details": "Out of bounds read in Chromoting in Google Chrome on Windows prior to 149.0.7827.155 allowed a local attacker to obtain potentially sensitive information from process memory via a malicious file. (Chromium security severity: High)",
  "id": "GHSA-233p-6m42-wj2r",
  "modified": "2026-06-17T18:35:46Z",
  "published": "2026-06-17T18:35:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12444"
    },
    {
      "type": "WEB",
      "url": "https://chromereleases.googleblog.com/2026/06/stable-channel-update-for-desktop_01750511403.html"
    },
    {
      "type": "WEB",
      "url": "https://issues.chromium.org/issues/513160088"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-2366-559P-M86Q

Vulnerability from github – Published: 2024-06-21 12:31 – Updated: 2024-06-24 21:33
VLAI
Details

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

tpm_tis_spi: Account for SPI header when allocating TPM SPI xfer buffer

The TPM SPI transfer mechanism uses MAX_SPI_FRAMESIZE for computing the maximum transfer length and the size of the transfer buffer. As such, it does not account for the 4 bytes of header that prepends the SPI data frame. This can result in out-of-bounds accesses and was confirmed with KASAN.

Introduce SPI_HDRSIZE to account for the header and use to allocate the transfer buffer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-36477"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-21T12:15:11Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ntpm_tis_spi: Account for SPI header when allocating TPM SPI xfer buffer\n\nThe TPM SPI transfer mechanism uses MAX_SPI_FRAMESIZE for computing the\nmaximum transfer length and the size of the transfer buffer. As such, it\ndoes not account for the 4 bytes of header that prepends the SPI data\nframe. This can result in out-of-bounds accesses and was confirmed with\nKASAN.\n\nIntroduce SPI_HDRSIZE to account for the header and use to allocate the\ntransfer buffer.",
  "id": "GHSA-2366-559p-m86q",
  "modified": "2024-06-24T21:33:19Z",
  "published": "2024-06-21T12:31:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-36477"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1547183852dcdfcc25878db7dd3620509217b0cd"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/195aba96b854dd664768f382cd1db375d8181f88"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/de13c56f99477b56980c7e00b09c776d16b7563d"
    }
  ],
  "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-2388-JP8V-FG9W

Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-17 18:35
VLAI
Details

NGINX Plus and NGINX Open Source have a vulnerability in the ngx_http_charset_module module. When content is served or proxied through a location block with both source_charset utf-8; and a charset directive (for example, charset koi8-r;) configured, remote, unauthenticated attackers can send requests (in conjunction with conditions beyond their control) to cause a heap buffer over-read in the NGINX worker process, leading to limited disclosure of memory or a restart.

Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-48142"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-17T15:16:59Z",
    "severity": "MODERATE"
  },
  "details": "NGINX Plus and NGINX Open Source have a vulnerability in the ngx_http_charset_module\u00a0module. When content is served or proxied through a location block with both source_charset\u00a0utf-8; and a charset\u00a0directive (for example, charset koi8-r;) configured, remote, unauthenticated attackers can send requests (in conjunction with conditions beyond their control) to cause a heap buffer over-read in the NGINX worker process, leading to limited disclosure of memory or a restart. \n\n\nNote: Software versions which have reached End of Technical Support (EoTS) are not evaluated.",
  "id": "GHSA-2388-jp8v-fg9w",
  "modified": "2026-06-17T18:35:56Z",
  "published": "2026-06-17T18:35:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48142"
    },
    {
      "type": "WEB",
      "url": "https://my.f5.com/manage/s/article/K000161585"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-238G-GW8W-M679

Vulnerability from github – Published: 2022-05-17 02:46 – Updated: 2022-05-17 02:46
VLAI
Details

The ReadWPGImage function in coders/wpg.c in ImageMagick allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted WPG file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-7533"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-04-19T14:59:00Z",
    "severity": "MODERATE"
  },
  "details": "The ReadWPGImage function in coders/wpg.c in ImageMagick allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted WPG file.",
  "id": "GHSA-238g-gw8w-m679",
  "modified": "2022-05-17T02:46:53Z",
  "published": "2022-05-17T02:46:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-7533"
    },
    {
      "type": "WEB",
      "url": "https://github.com/ImageMagick/ImageMagick/issues/120"
    },
    {
      "type": "WEB",
      "url": "https://github.com/ImageMagick/ImageMagick/commit/bef1e4f637d8f665bc133a9c6d30df08d983bc3a"
    },
    {
      "type": "WEB",
      "url": "https://bugs.launchpad.net/ubuntu/+source/imagemagick/+bug/1542114"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1378765"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2016/09/22/2"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/93131"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-239G-M969-JGX2

Vulnerability from github – Published: 2024-12-12 12:31 – Updated: 2024-12-12 12:31
VLAI
Details

Read/Write vulnerability in the image decoding module Impact: Successful exploitation of this vulnerability will affect availability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-54109"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-12-12T12:15:26Z",
    "severity": "MODERATE"
  },
  "details": "Read/Write vulnerability in the image decoding module\nImpact: Successful exploitation of this vulnerability will affect availability.",
  "id": "GHSA-239g-m969-jgx2",
  "modified": "2024-12-12T12:31:16Z",
  "published": "2024-12-12T12:31:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-54109"
    },
    {
      "type": "WEB",
      "url": "https://consumer.huawei.com/en/support/bulletin/2024/12"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-23HM-7W47-XW72

Vulnerability from github – Published: 2022-02-09 18:28 – Updated: 2024-11-13 22:09
VLAI
Summary
Out of bounds read in Tensorflow
Details

Impact

The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses:

import tensorflow as tf

@tf.function
def test():
  y = tf.raw_ops.Dequantize(
    input=tf.constant([1,1],dtype=tf.qint32),
    min_range=[1.0],
    max_range=[10.0],
    mode='MIN_COMBINED',
    narrow_range=False,
    axis=2**31-1,
    dtype=tf.bfloat16)
  return y

test()

The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor:

  if (axis_ > -1) {
    num_slices = input.dim_size(axis_);
  }
  // ...
  int64_t pre_dim = 1, post_dim = 1;
  for (int i = 0; i < axis_; ++i) {
    pre_dim *= float_output.dim_size(i);
  }
  for (int i = axis_ + 1; i < float_output.dims(); ++i) {
    post_dim *= float_output.dim_size(i);
  }

Patches

We have patched the issue in GitHub commit 23968a8bf65b009120c43b5ebcceaf52dbc9e943.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Yu Tian of Qihoo 360 AIVul Team.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-21726"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-02-03T18:08:22Z",
    "nvd_published_at": "2022-02-03T11:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact \nThe [implementation of `Dequantize`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153) does not fully validate the value of `axis` and can result in heap OOB accesses:\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n  y = tf.raw_ops.Dequantize(\n    input=tf.constant([1,1],dtype=tf.qint32),\n    min_range=[1.0],\n    max_range=[10.0],\n    mode=\u0027MIN_COMBINED\u0027,\n    narrow_range=False,\n    axis=2**31-1,\n    dtype=tf.bfloat16)\n  return y\n\ntest()\n```\n\nThe `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor:\n    \n```cc   \n  if (axis_ \u003e -1) {\n    num_slices = input.dim_size(axis_);\n  }\n  // ...\n  int64_t pre_dim = 1, post_dim = 1;\n  for (int i = 0; i \u003c axis_; ++i) {\n    pre_dim *= float_output.dim_size(i);\n  }\n  for (int i = axis_ + 1; i \u003c float_output.dims(); ++i) {\n    post_dim *= float_output.dim_size(i);\n  }\n``` \n      \n### Patches\nWe have patched the issue in GitHub commit [23968a8bf65b009120c43b5ebcceaf52dbc9e943](https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943).\n  \nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Yu Tian of Qihoo 360 AIVul Team.",
  "id": "GHSA-23hm-7w47-xw72",
  "modified": "2024-11-13T22:09:30Z",
  "published": "2022-02-09T18:28:54Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21726"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-50.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-105.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Out of bounds read in Tensorflow"
}

GHSA-23PW-35MV-8QH4

Vulnerability from github – Published: 2024-09-13 09:30 – Updated: 2024-09-13 09:30
VLAI
Details

Media Encoder versions 24.5, 23.6.8 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-41870"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-09-13T07:15:03Z",
    "severity": "MODERATE"
  },
  "details": "Media Encoder versions 24.5, 23.6.8 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-23pw-35mv-8qh4",
  "modified": "2024-09-13T09:30:31Z",
  "published": "2024-09-13T09:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-41870"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/media-encoder/apsb24-53.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-23Q6-MCRH-4X5M

Vulnerability from github – Published: 2022-05-14 01:01 – Updated: 2025-04-20 03:33
VLAI
Details

An issue was discovered in ytnef before 1.9.1. This is related to a patch described as "8 of 9. Out of Bounds read and write."

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-6305"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-02-24T04:59:00Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in ytnef before 1.9.1. This is related to a patch described as \"8 of 9. Out of Bounds read and write.\"",
  "id": "GHSA-23q6-mcrh-4x5m",
  "modified": "2025-04-20T03:33:21Z",
  "published": "2022-05-14T01:01:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-6305"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Yeraze/ytnef/pull/27"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/LFJWMUEUC4ILH2HEOCYVVLQT654ZMCGQ"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/LFJWMUEUC4ILH2HEOCYVVLQT654ZMCGQ"
    },
    {
      "type": "WEB",
      "url": "https://www.x41-dsec.de/lab/advisories/x41-2017-002-ytnef"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3846"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/02/15/4"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/96423"
    }
  ],
  "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"
    }
  ]
}

Mitigation MIT-5
Implementation

Strategy: Input Validation

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.
Mitigation
Architecture and Design

Strategy: Language Selection

Use a language that provides appropriate memory abstractions.

CAPEC-540: Overread Buffers

An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.