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.

11444 vulnerabilities reference this CWE, most recent first.

GHSA-53MG-6XCJ-RXJQ

Vulnerability from github – Published: 2022-05-13 01:09 – Updated: 2025-04-12 13:03
VLAI
Details

idn in libidn before 1.33 might allow remote attackers to obtain sensitive memory information by reading a zero byte as input, which triggers an out-of-bounds read, a different vulnerability than CVE-2015-8948.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-6262"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2016-09-07T20:59:00Z",
    "severity": "HIGH"
  },
  "details": "idn in libidn before 1.33 might allow remote attackers to obtain sensitive memory information by reading a zero byte as input, which triggers an out-of-bounds read, a different vulnerability than CVE-2015-8948.",
  "id": "GHSA-53mg-6xcj-rxjq",
  "modified": "2025-04-12T13:03:54Z",
  "published": "2022-05-13T01:09:04Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-6262"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/r58af02e294bd07f487e2c64ffc0a29b837db5600e33b6e698b9d696b%40%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/r58af02e294bd07f487e2c64ffc0a29b837db5600e33b6e698b9d696b@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/rf4c02775860db415b4955778a131c2795223f61cb8c6a450893651e4%40%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/rf4c02775860db415b4955778a131c2795223f61cb8c6a450893651e4@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.gnu.org/archive/html/help-libidn/2016-07/msg00009.html"
    },
    {
      "type": "WEB",
      "url": "http://git.savannah.gnu.org/cgit/libidn.git/commit/?id=5e3cb9c7b5bf0ce665b9d68f5ddf095af5c9ba60"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-updates/2016-08/msg00005.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-updates/2016-08/msg00098.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2016/07/20/6"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2016/07/21/4"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/92070"
    },
    {
      "type": "WEB",
      "url": "http://www.ubuntu.com/usn/USN-3068-1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-53P4-QM3J-Q67H

Vulnerability from github – Published: 2022-05-17 01:58 – Updated: 2022-05-17 01:58
VLAI
Details

The row_is_empty function in base/4bitmap.c:274 in minidjvu 0.8 can cause a denial of service (invalid memory read and application crash) via a crafted djvu file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-12441"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-08-17T16:29:00Z",
    "severity": "MODERATE"
  },
  "details": "The row_is_empty function in base/4bitmap.c:274 in minidjvu 0.8 can cause a denial of service (invalid memory read and application crash) via a crafted djvu file.",
  "id": "GHSA-53p4-qm3j-q67h",
  "modified": "2022-05-17T01:58:39Z",
  "published": "2022-05-17T01:58:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12441"
    },
    {
      "type": "WEB",
      "url": "http://seclists.org/fulldisclosure/2017/Aug/15"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/100419"
    }
  ],
  "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-53PC-8XR3-68WX

Vulnerability from github – Published: 2023-11-03 09:32 – Updated: 2024-08-21 18:31
VLAI
Details

An out-of-bounds (OOB) memory read flaw was found in parse_lease_state in the KSMBD implementation of the in-kernel samba server and CIFS in the Linux kernel. When an attacker sends the CREATE command with a malformed payload to KSMBD, due to a missing check of NameOffset in the parse_lease_state() function, the create_context object can access invalid memory.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-1194"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-416"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-03T08:15:07Z",
    "severity": "HIGH"
  },
  "details": "An out-of-bounds (OOB) memory read flaw was found in parse_lease_state in the KSMBD implementation of the in-kernel samba server and CIFS in the Linux kernel. When an attacker sends the CREATE command with a malformed payload to KSMBD, due to a missing check of `NameOffset` in the `parse_lease_state()` function, the `create_context` object can access invalid memory.",
  "id": "GHSA-53pc-8xr3-68wx",
  "modified": "2024-08-21T18:31:25Z",
  "published": "2023-11-03T09:32:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1194"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2023-1194"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2154176"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20231221-0006"
    },
    {
      "type": "WEB",
      "url": "https://www.spinics.net/lists/stable-commits/msg303065.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-53V7-HQV4-MM7C

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 Read 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 read 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-25972.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-7992"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-17T21:15:40Z",
    "severity": "HIGH"
  },
  "details": "Ashlar-Vellum Cobalt AR File Parsing Out-Of-Bounds Read 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 read 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-25972.",
  "id": "GHSA-53v7-hqv4-mm7c",
  "modified": "2025-09-17T21:30:43Z",
  "published": "2025-09-17T21:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-7992"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-642"
    }
  ],
  "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-53W9-WG73-GHRW

Vulnerability from github – Published: 2022-05-24 19:13 – Updated: 2024-04-07 03:30
VLAI
Details

The GD Graphics Library (aka LibGD) through 2.3.2 has an out-of-bounds read because of the lack of certain gdGetBuf and gdPutBuf return value checks.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-40812"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-09-08T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "The GD Graphics Library (aka LibGD) through 2.3.2 has an out-of-bounds read because of the lack of certain gdGetBuf and gdPutBuf return value checks.",
  "id": "GHSA-53w9-wg73-ghrw",
  "modified": "2024-04-07T03:30:46Z",
  "published": "2022-05-24T19:13:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-40812"
    },
    {
      "type": "WEB",
      "url": "https://github.com/libgd/libgd/issues/750#issuecomment-914872385"
    },
    {
      "type": "WEB",
      "url": "https://github.com/libgd/libgd/commit/6f5136821be86e7068fcdf651ae9420b5d42e9a9"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/04/msg00003.html"
    }
  ],
  "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-5428-JHFR-7HXG

Vulnerability from github – Published: 2023-01-03 21:30 – Updated: 2023-01-10 03:30
VLAI
Details

In watchdog, there is a possible out of bounds read due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07494487; Issue ID: ALPS07494487.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-32639"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-03T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In watchdog, there is a possible out of bounds read due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07494487; Issue ID: ALPS07494487.",
  "id": "GHSA-5428-jhfr-7hxg",
  "modified": "2023-01-10T03:30:28Z",
  "published": "2023-01-03T21:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-32639"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/January-2023"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-544J-8M5V-3FRM

Vulnerability from github – Published: 2022-12-23 00:30 – Updated: 2022-12-30 18:30
VLAI
Details

An information disclosure vulnerability exists in the OpenImageIO::decode_iptc_iim() functionality of OpenImageIO Project OpenImageIO v2.3.19.0. A specially-crafted TIFF file can lead to a disclosure of sensitive information. An attacker can provide a malicious file to trigger this vulnerability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-41988"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-12-22T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "An information disclosure vulnerability exists in the OpenImageIO::decode_iptc_iim() functionality of OpenImageIO Project OpenImageIO v2.3.19.0. A specially-crafted TIFF file can lead to a disclosure of sensitive information. An attacker can provide a malicious file to trigger this vulnerability.",
  "id": "GHSA-544j-8m5v-3frm",
  "modified": "2022-12-30T18:30:44Z",
  "published": "2022-12-23T00:30:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41988"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/T3LET4MEPBSBJZK4EMLEBY4FUXKU5BMN"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202305-33"
    },
    {
      "type": "WEB",
      "url": "https://talosintelligence.com/vulnerability_reports/TALOS-2022-1643"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2023/dsa-5384"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-545V-42P7-98FQ

Vulnerability from github – Published: 2021-05-21 14:25 – Updated: 2024-11-01 17:06
VLAI
Summary
Heap out of bounds read in `MaxPoolGradWithArgmax`
Details

Impact

The implementation of tf.raw_ops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:

import tensorflow as tf

input = tf.constant([10.0, 10.0, 10.0], shape=[1, 1, 3, 1], dtype=tf.float32)
grad = tf.constant([10.0, 10.0, 10.0, 10.0], shape=[1, 1, 1, 4], dtype=tf.float32)
argmax = tf.constant([1], shape=[1], dtype=tf.int64)
ksize = [1, 1, 1, 1]
strides = [1, 1, 1, 1]

tf.raw_ops.MaxPoolGradWithArgmax(
  input=input, grad=grad, argmax=argmax, ksize=ksize, strides=strides,
  padding='SAME', include_batch_in_index=False)

The implementation uses the same value to index in two different arrays but there is no guarantee that the sizes are identical.

Patches

We have patched the issue in GitHub commit dcd7867de0fea4b72a2b34bd41eb74548dc23886.

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"
            }
          ],
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        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
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            },
            {
              "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-2021-29570"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T18:54:55Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nThe implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:\n\n```python\nimport tensorflow as tf\n\ninput = tf.constant([10.0, 10.0, 10.0], shape=[1, 1, 3, 1], dtype=tf.float32)\ngrad = tf.constant([10.0, 10.0, 10.0, 10.0], shape=[1, 1, 1, 4], dtype=tf.float32)\nargmax = tf.constant([1], shape=[1], dtype=tf.int64)\nksize = [1, 1, 1, 1]\nstrides = [1, 1, 1, 1]\n  \ntf.raw_ops.MaxPoolGradWithArgmax(\n  input=input, grad=grad, argmax=argmax, ksize=ksize, strides=strides,\n  padding=\u0027SAME\u0027, include_batch_in_index=False)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. \n\n### Patches\nWe have patched the issue in GitHub commit [dcd7867de0fea4b72a2b34bd41eb74548dc23886](https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886).\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-545v-42p7-98fq",
  "modified": "2024-11-01T17:06:23Z",
  "published": "2021-05-21T14:25:25Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29570"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-498.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-696.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-207.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 out of bounds read in `MaxPoolGradWithArgmax`"
}

GHSA-546F-M7RQ-7RXW

Vulnerability from github – Published: 2024-06-04 09:30 – Updated: 2024-06-04 09:30
VLAI
Details

Out-of-bounds read vulnerability in bootloader prior to SMR June-2024 Release 1 allows physical attackers to arbitrary data access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-20882"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-04T07:15:46Z",
    "severity": "MODERATE"
  },
  "details": "Out-of-bounds read vulnerability in bootloader prior to SMR June-2024 Release 1 allows physical attackers to arbitrary data access.",
  "id": "GHSA-546f-m7rq-7rxw",
  "modified": "2024-06-04T09:30:57Z",
  "published": "2024-06-04T09:30:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-20882"
    },
    {
      "type": "WEB",
      "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2024\u0026month=06"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-54C9-J53F-C7V9

Vulnerability from github – Published: 2025-10-14 18:30 – Updated: 2025-10-14 18:30
VLAI
Details

Out-of-bounds read in Windows DWM allows an authorized attacker to elevate privileges locally.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-55681"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-14T17:15:48Z",
    "severity": "HIGH"
  },
  "details": "Out-of-bounds read in Windows DWM allows an authorized attacker to elevate privileges locally.",
  "id": "GHSA-54c9-j53f-c7v9",
  "modified": "2025-10-14T18:30:31Z",
  "published": "2025-10-14T18:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-55681"
    },
    {
      "type": "WEB",
      "url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-55681"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/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.