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.

11499 vulnerabilities reference this CWE, most recent first.

GHSA-5HCF-WQRV-XP63

Vulnerability from github – Published: 2022-05-14 01:41 – Updated: 2022-05-14 01:41
VLAI
Details

GNU Libextractor through 1.8 has an out-of-bounds read vulnerability in the function history_extract() in plugins/ole2_extractor.c, related to EXTRACTOR_common_convert_to_utf8 in common/convert.c.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-20430"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-12-24T05:29:00Z",
    "severity": "MODERATE"
  },
  "details": "GNU Libextractor through 1.8 has an out-of-bounds read vulnerability in the function history_extract() in plugins/ole2_extractor.c, related to EXTRACTOR_common_convert_to_utf8 in common/convert.c.",
  "id": "GHSA-5hcf-wqrv-xp63",
  "modified": "2022-05-14T01:41:35Z",
  "published": "2022-05-14T01:41:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-20430"
    },
    {
      "type": "WEB",
      "url": "https://gnunet.org/bugs/view.php?id=5493"
    },
    {
      "type": "WEB",
      "url": "https://gnunet.org/git/libextractor.git/commit/?id=b405d707b36e0654900cba78e89f49779efea110"
    },
    {
      "type": "WEB",
      "url": "https://gnunet.org/git/libextractor.git/tree/ChangeLog"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2018/12/msg00015.html"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2018/dsa-4361"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/106300"
    }
  ],
  "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-5HG8-2RHC-2WQH

Vulnerability from github – Published: 2023-11-16 18:30 – Updated: 2023-11-16 18:30
VLAI
Details

Adobe Audition version 24.0 (and earlier) and 23.6.1 (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code 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-2023-47049"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-16T16:15:32Z",
    "severity": "HIGH"
  },
  "details": "Adobe Audition version 24.0 (and earlier) and 23.6.1 (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code 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-5hg8-2rhc-2wqh",
  "modified": "2023-11-16T18:30:31Z",
  "published": "2023-11-16T18:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-47049"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/audition/apsb23-64.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-5HH2-RR8P-RQMR

Vulnerability from github – Published: 2022-05-24 19:16 – Updated: 2022-05-24 19:16
VLAI
Details

Adobe Framemaker versions 2019 Update 8 (and earlier) and 2020 Release Update 2 (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 TIF file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-39834"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-09-29T16:15:00Z",
    "severity": "LOW"
  },
  "details": "Adobe Framemaker versions 2019 Update 8 (and earlier) and 2020 Release Update 2 (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 TIF file.",
  "id": "GHSA-5hh2-rr8p-rqmr",
  "modified": "2022-05-24T19:16:06Z",
  "published": "2022-05-24T19:16:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-39834"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/framemaker/apsb21-74.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-5HHV-HRG6-CWC7

Vulnerability from github – Published: 2024-05-01 06:31 – Updated: 2025-11-04 18:30
VLAI
Details

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

drm: nv04: Fix out of bounds access

When Output Resource (dcb->or) value is assigned in fabricate_dcb_output(), there may be out of bounds access to dac_users array in case dcb->or is zero because ffs(dcb->or) is used as index there. The 'or' argument of fabricate_dcb_output() must be interpreted as a number of bit to set, not value.

Utilize macros from 'enum nouveau_or' in calls instead of hardcoding.

Found by Linux Verification Center (linuxtesting.org) with SVACE.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-27008"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-01T06:15:19Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm: nv04: Fix out of bounds access\n\nWhen Output Resource (dcb-\u003eor) value is assigned in\nfabricate_dcb_output(), there may be out of bounds access to\ndac_users array in case dcb-\u003eor is zero because ffs(dcb-\u003eor) is\nused as index there.\nThe \u0027or\u0027 argument of fabricate_dcb_output() must be interpreted as a\nnumber of bit to set, not value.\n\nUtilize macros from \u0027enum nouveau_or\u0027 in calls instead of hardcoding.\n\nFound by Linux Verification Center (linuxtesting.org) with SVACE.",
  "id": "GHSA-5hhv-hrg6-cwc7",
  "modified": "2025-11-04T18:30:52Z",
  "published": "2024-05-01T06:31:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27008"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/097c7918fcfa1dee233acfd1f3029f00c3bc8062"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/26212da39ee14a52c76a202c6ae5153a84f579a5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5050ae879a828d752b439e3827aac126709da6d1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5fd4b090304e450aa0e7cc9cc2b4873285c6face"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6690cc2732e2a8d0eaca44dcbac032a4b0148042"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c2b97f26f081ceec3298151481687071075a25cb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cf92bb778eda7830e79452c6917efa8474a30c1e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/df0991da7db846f7fa4ec6740350f743d3b69b04"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00017.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00020.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4EZ6PJW7VOZ224TD7N4JZNU6KV32ZJ53"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/DAMSOZXJEPUOXW33WZYWCVAY7Z5S7OOY"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GCBZZEC7L7KTWWAS2NLJK6SO3IZIL4WW"
    }
  ],
  "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-5HJ3-VJJF-F5M7

Vulnerability from github – Published: 2021-08-25 14:41 – Updated: 2024-11-13 21:10
VLAI
Summary
Heap OOB in `SdcaOptimizerV2`
Details

Impact

An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.SdcaOptimizerV2:

import tensorflow as tf

tf.raw_ops.SdcaOptimizerV2(
  sparse_example_indices=[[1]],
  sparse_feature_indices=[[1]],
  sparse_feature_values=[[1.0,2.0]],
  dense_features=[[1.0]],
  example_weights=[1.0],
  example_labels=[],
  sparse_indices=[1],
  sparse_weights=[1.0],
  dense_weights=[[1.0]],
  example_state_data=[[100.0,100.0,100.0,100.0]],
  loss_type='logistic_loss',
  l1=100.0,
  l2=100.0,
  num_loss_partitions=1,
  num_inner_iterations=1,
  adaptive=True)       

The implementation does not check that the length of example_labels is the same as the number of examples.

Patches

We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37672"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T14:35:33Z",
    "nvd_published_at": "2021-08-12T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nAn attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`:\n\n```python\nimport tensorflow as tf\n  \ntf.raw_ops.SdcaOptimizerV2(\n  sparse_example_indices=[[1]],\n  sparse_feature_indices=[[1]],\n  sparse_feature_values=[[1.0,2.0]],\n  dense_features=[[1.0]],\n  example_weights=[1.0],\n  example_labels=[],\n  sparse_indices=[1],\n  sparse_weights=[1.0],\n  dense_weights=[[1.0]],\n  example_state_data=[[100.0,100.0,100.0,100.0]],\n  loss_type=\u0027logistic_loss\u0027,\n  l1=100.0,\n  l2=100.0,\n  num_loss_partitions=1,\n  num_inner_iterations=1,\n  adaptive=True)       \n``` \n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples.\n\n### Patches\nWe have patched the issue in GitHub commit [a4e138660270e7599793fa438cd7b2fc2ce215a6](https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-5hj3-vjjf-f5m7",
  "modified": "2024-11-13T21:10:23Z",
  "published": "2021-08-25T14:41:39Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hj3-vjjf-f5m7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37672"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-585.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-783.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-294.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:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Heap OOB in `SdcaOptimizerV2`"
}

GHSA-5HJR-4FF9-H4HX

Vulnerability from github – Published: 2025-04-07 15:31 – Updated: 2025-04-07 15:31
VLAI
Details

in OpenHarmony v5.0.2 and prior versions allow a local attacker cause DOS through out-of-bounds read.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-22842"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-04-07T03:15:20Z",
    "severity": "LOW"
  },
  "details": "in OpenHarmony v5.0.2 and prior versions allow a local attacker cause DOS through  out-of-bounds read.",
  "id": "GHSA-5hjr-4ff9-h4hx",
  "modified": "2025-04-07T15:31:15Z",
  "published": "2025-04-07T15:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-22842"
    },
    {
      "type": "WEB",
      "url": "https://gitee.com/openharmony/security/blob/master/zh/security-disclosure/2025/2025-04.md"
    }
  ],
  "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:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-5HM5-7P65-WRQ6

Vulnerability from github – Published: 2025-09-05 18:31 – Updated: 2026-05-12 15:30
VLAI
Details

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

media: venus: Fix OOB read due to missing payload bound check

Currently, The event_seq_changed() handler processes a variable number of properties sent by the firmware. The number of properties is indicated by the firmware and used to iterate over the payload. However, the payload size is not being validated against the actual message length.

This can lead to out-of-bounds memory access if the firmware provides a property count that exceeds the data available in the payload. Such a condition can result in kernel crashes or potential information leaks if memory beyond the buffer is accessed.

Fix this by properly validating the remaining size of the payload before each property access and updating bounds accordingly as properties are parsed.

This ensures that property parsing is safely bounded within the received message buffer and protects against malformed or malicious firmware behavior.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-38679"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-04T16:15:35Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: venus: Fix OOB read due to missing payload bound check\n\nCurrently, The event_seq_changed() handler processes a variable number\nof properties sent by the firmware. The number of properties is indicated\nby the firmware and used to iterate over the payload. However, the\npayload size is not being validated against the actual message length.\n\nThis can lead to out-of-bounds memory access if the firmware provides a\nproperty count that exceeds the data available in the payload. Such a\ncondition can result in kernel crashes or potential information leaks if\nmemory beyond the buffer is accessed.\n\nFix this by properly validating the remaining size of the payload before\neach property access and updating bounds accordingly as properties are\nparsed.\n\nThis ensures that property parsing is safely bounded within the received\nmessage buffer and protects against malformed or malicious firmware\nbehavior.",
  "id": "GHSA-5hm5-7p65-wrq6",
  "modified": "2026-05-12T15:30:59Z",
  "published": "2025-09-05T18:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-38679"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-032379.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/06d6770ff0d8cc8dfd392329a8cc03e2a83e7289"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6f08bfb5805637419902f3d70069fe17a404545b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8f274e2b05fdae7a53cee83979202b5ecb49035c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a3eef5847603cd8a4110587907988c3f93c9605a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bed4921055dd7bb4d2eea2729852ae18cf97a2c6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c956c3758510b448b3d4d10d1da8230e8c9bf668"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00008.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-5HP2-C33H-X595

Vulnerability from github – Published: 2026-05-04 09:31 – Updated: 2026-05-04 15:31
VLAI
Details

In geniezone, there is a possible escalation of privilege due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10724073; Issue ID: MSV-6296.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-20447"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-04T07:15:58Z",
    "severity": "MODERATE"
  },
  "details": "In geniezone, there is a possible escalation of privilege due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10724073; Issue ID: MSV-6296.",
  "id": "GHSA-5hp2-c33h-x595",
  "modified": "2026-05-04T15:31:13Z",
  "published": "2026-05-04T09:31:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-20447"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/May-2026"
    }
  ],
  "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-5HPQ-8PF8-HXW6

Vulnerability from github – Published: 2022-02-19 00:01 – Updated: 2022-03-01 00:01
VLAI
Details

This vulnerability allows remote attackers to disclose sensitive information on affected installations of Bentley MicroStation CONNECT 10.16.0.80. 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 JP2 images. 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 buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-15405.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-46611"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-02-18T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "This vulnerability allows remote attackers to disclose sensitive information on affected installations of Bentley MicroStation CONNECT 10.16.0.80. 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 JP2 images. 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 buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-15405.",
  "id": "GHSA-5hpq-8pf8-hxw6",
  "modified": "2022-03-01T00:01:02Z",
  "published": "2022-02-19T00:01:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46611"
    },
    {
      "type": "WEB",
      "url": "https://www.bentley.com/en/common-vulnerability-exposure/BE-2021-0008"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-198"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-5HQC-G8VH-28GG

Vulnerability from github – Published: 2022-05-24 16:47 – Updated: 2024-04-04 00:51
VLAI
Details

Mate20 Huawei smartphones versions earlier than HMA-AL00C00B175 have an out-of-bounds read vulnerability. An attacker with a high permission runs some specific commands on the smartphone. Due to insufficient input verification, successful exploit may cause out-of-bounds read of the memory and the system abnormal.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-5296"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-06-04T18:29:00Z",
    "severity": "LOW"
  },
  "details": "Mate20 Huawei smartphones versions earlier than HMA-AL00C00B175 have an out-of-bounds read vulnerability. An attacker with a high permission runs some specific commands on the smartphone. Due to insufficient input verification, successful exploit may cause out-of-bounds read of the memory and the system abnormal.",
  "id": "GHSA-5hqc-g8vh-28gg",
  "modified": "2024-04-04T00:51:44Z",
  "published": "2022-05-24T16:47:10Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-5296"
    },
    {
      "type": "WEB",
      "url": "https://www.huawei.com/en/psirt/security-advisories/huawei-sa-20190220-01-phone-en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:P/AC:L/PR:H/UI:N/S:U/C:N/I:N/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.