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.

11347 vulnerabilities reference this CWE, most recent first.

GHSA-36W8-H6XW-WXR6

Vulnerability from github – Published: 2022-05-14 03:26 – Updated: 2022-05-14 03:26
VLAI
Details

An issue was discovered in QPDF before 7.0.0. There is a large heap-based out-of-bounds read in the Pl_Buffer::write function in Pl_Buffer.cc. It is caused by an integer overflow in the PNG filter.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-18185"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-02-13T19:29:00Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in QPDF before 7.0.0. There is a large heap-based out-of-bounds read in the Pl_Buffer::write function in Pl_Buffer.cc. It is caused by an integer overflow in the PNG filter.",
  "id": "GHSA-36w8-h6xw-wxr6",
  "modified": "2022-05-14T03:26:52Z",
  "published": "2022-05-14T03:26:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-18185"
    },
    {
      "type": "WEB",
      "url": "https://github.com/qpdf/qpdf/issues/150"
    },
    {
      "type": "WEB",
      "url": "https://github.com/qpdf/qpdf/commit/ec7d74a386c0b2f38990079c3b0d2a2b30be0e71"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/3638-1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-36X9-388F-M9WR

Vulnerability from github – Published: 2022-05-14 00:52 – Updated: 2022-05-14 00:52
VLAI
Details

Adobe Acrobat and Reader versions 2018.011.20063 and earlier, 2017.011.30102 and earlier, and 2015.006.30452 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-12880"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-10-12T18:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Adobe Acrobat and Reader versions 2018.011.20063 and earlier, 2017.011.30102 and earlier, and 2015.006.30452 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.",
  "id": "GHSA-36x9-388f-m9wr",
  "modified": "2022-05-14T00:52:42Z",
  "published": "2022-05-14T00:52:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-12880"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/acrobat/apsb18-30.html"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/105439"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1041809"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-36XH-W73J-574G

Vulnerability from github – Published: 2022-05-24 19:02 – Updated: 2022-05-24 19:02
VLAI
Details

A flaw was found in samba. Spaces used in a string around a domain name (DN), while supposed to be ignored, can cause invalid DN strings with spaces to instead write a zero-byte into out-of-bounds memory, resulting in a crash. The highest threat from this vulnerability is to system availability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-27840"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-05-12T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "A flaw was found in samba. Spaces used in a string around a domain name (DN), while supposed to be ignored, can cause invalid DN strings with spaces to instead write a zero-byte into out-of-bounds memory, resulting in a crash. The highest threat from this vulnerability is to system availability.",
  "id": "GHSA-36xh-w73j-574g",
  "modified": "2022-05-24T19:02:13Z",
  "published": "2022-05-24T19:02:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-27840"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1941400"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2021/03/msg00036.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/VLZ74IF2N75VQSIHBL4B3P5WKWQCXSRY"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/X5J3B6PN5XMXF3OHYBNHDKZ3XFSUGY4L"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZXP3ONIY6MB4C5LDZV4YL5KJCES3UX24"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202105-22"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20210326-0007"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2021/dsa-4884"
    },
    {
      "type": "WEB",
      "url": "https://www.samba.org/samba/security/CVE-2020-27840.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-36XJ-QG9X-F33M

Vulnerability from github – Published: 2022-05-13 01:14 – Updated: 2022-05-13 01:14
VLAI
Details

The IPv6 routing header parser in tcpdump before 4.9.2 has a buffer over-read in print-rt6.c:rt6_print().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-13725"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-09-14T06:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "The IPv6 routing header parser in tcpdump before 4.9.2 has a buffer over-read in print-rt6.c:rt6_print().",
  "id": "GHSA-36xj-qg9x-f33m",
  "modified": "2022-05-13T01:14:02Z",
  "published": "2022-05-13T01:14:02Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-13725"
    },
    {
      "type": "WEB",
      "url": "https://github.com/the-tcpdump-group/tcpdump/commit/3c4d7c0ee30a30e5abff3d6d9586a3753101faf5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/the-tcpdump-group/tcpdump/commit/c7c515ee03c285cc51376328de4ae9d549e501a5"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHEA-2018:0705"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201709-23"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/HT208221"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3971"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1039307"
    },
    {
      "type": "WEB",
      "url": "http://www.tcpdump.org/tcpdump-changes.txt"
    }
  ],
  "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-3724-QC3C-8GR9

Vulnerability from github – Published: 2022-05-13 01:47 – Updated: 2022-05-13 01:47
VLAI
Details

In all Android releases from CAF using the Linux kernel, a kernel driver has an off-by-one buffer over-read vulnerability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-8240"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-06-13T20:29:00Z",
    "severity": "HIGH"
  },
  "details": "In all Android releases from CAF using the Linux kernel, a kernel driver has an off-by-one buffer over-read vulnerability.",
  "id": "GHSA-3724-qc3c-8gr9",
  "modified": "2022-05-13T01:47:25Z",
  "published": "2022-05-13T01:47:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-8240"
    },
    {
      "type": "WEB",
      "url": "https://source.android.com/security/bulletin/2017-06-01"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1038623"
    }
  ],
  "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-372V-6JCG-5GVF

Vulnerability from github – Published: 2022-05-24 16:56 – Updated: 2024-04-04 01:59
VLAI
Details

An issue was discovered in app-layer-ssl.c in Suricata 4.1.4. Upon receiving a corrupted SSLv3 (TLS 1.2) packet, the parser function TLSDecodeHSHelloExtensions tries to access a memory region that is not allocated, because the expected length of HSHelloExtensions does not match the real length of the HSHelloExtensions part of the packet.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-15699"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-09-24T20:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An issue was discovered in app-layer-ssl.c in Suricata 4.1.4. Upon receiving a corrupted SSLv3 (TLS 1.2) packet, the parser function TLSDecodeHSHelloExtensions tries to access a memory region that is not allocated, because the expected length of HSHelloExtensions does not match the real length of the HSHelloExtensions part of the packet.",
  "id": "GHSA-372v-6jcg-5gvf",
  "modified": "2024-04-04T01:59:23Z",
  "published": "2022-05-24T16:56:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-15699"
    },
    {
      "type": "WEB",
      "url": "https://lists.openinfosecfoundation.org/pipermail/oisf-announce"
    },
    {
      "type": "WEB",
      "url": "https://suricata-ids.org/2019/09/24/suricata-4-1-5-released"
    }
  ],
  "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:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-374M-JM66-3VJ8

Vulnerability from github – Published: 2021-11-10 18:41 – Updated: 2024-11-13 22:05
VLAI
Summary
Heap OOB in `SparseBinCount`
Details

Impact

The implementation of SparseBinCount is vulnerable to a heap OOB:

import tensorflow as tf


tf.raw_ops.SparseBincount(
  indices=[[0],[1],[2]]
  values=[0,-10000000]
  dense_shape=[1,1]
  size=[1]
  weights=[3,2,1]
  binary_output=False)

This is because of missing validation between the elements of the values argument and the shape of the sparse output:

for (int64_t i = 0; i < indices_mat.dimension(0); ++i) {
  const int64_t batch = indices_mat(i, 0);
  const Tidx bin = values(i);
  ...
  out(batch, bin) = ...;
}

Patches

We have patched the issue in GitHub commit f410212e373eb2aec4c9e60bf3702eba99a38aba.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41226"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T21:49:22Z",
    "nvd_published_at": "2021-11-05T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/bincount_op.cc#L353-L417) of `SparseBinCount` is vulnerable to a heap OOB:\n\n```python\nimport tensorflow as tf\n  \n  \ntf.raw_ops.SparseBincount(\n  indices=[[0],[1],[2]]\n  values=[0,-10000000]\n  dense_shape=[1,1]\n  size=[1]\n  weights=[3,2,1]\n  binary_output=False)\n```\n\nThis is because of missing validation between the elements of the `values` argument and the shape of the sparse output:\n\n\n```cc\nfor (int64_t i = 0; i \u003c indices_mat.dimension(0); ++i) {\n  const int64_t batch = indices_mat(i, 0);\n  const Tidx bin = values(i);\n  ...\n  out(batch, bin) = ...;\n}\n```\n\n### Patches\nWe have patched the issue in GitHub commit [f410212e373eb2aec4c9e60bf3702eba99a38aba](https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba).\n\nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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-374m-jm66-3vj8",
  "modified": "2024-11-13T22:05:33Z",
  "published": "2021-11-10T18:41:47Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41226"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-635.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-833.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-418.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:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Heap OOB in `SparseBinCount`"
}

GHSA-3756-MP7R-CRRP

Vulnerability from github – Published: 2022-04-12 00:00 – Updated: 2022-04-19 00:01
VLAI
Details

Improper boundary check in media.extractor library prior to SMR Apr-2022 Release 1 allows attackers to cause denial of service via a crafted media file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-27832"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-11T20:15:00Z",
    "severity": "LOW"
  },
  "details": "Improper boundary check in media.extractor library prior to SMR Apr-2022 Release 1 allows attackers to cause denial of service via a crafted media file.",
  "id": "GHSA-3756-mp7r-crrp",
  "modified": "2022-04-19T00:01:12Z",
  "published": "2022-04-12T00:00:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-27832"
    },
    {
      "type": "WEB",
      "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=4"
    }
  ],
  "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-3759-4226-VQ4Q

Vulnerability from github – Published: 2025-08-12 18:31 – Updated: 2025-08-12 18:31
VLAI
Details

Out-of-bounds read in some Intel(R) TDX module software before version TDX_1.5.07.00.774 may allow an authenticated user to potentially enable information disclosure via local access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-33607"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-12T17:15:27Z",
    "severity": "MODERATE"
  },
  "details": "Out-of-bounds read in some Intel(R) TDX module software before version TDX_1.5.07.00.774 may allow an authenticated user to potentially enable information disclosure via local access.",
  "id": "GHSA-3759-4226-vq4q",
  "modified": "2025-08-12T18:31:26Z",
  "published": "2025-08-12T18:31:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-33607"
    },
    {
      "type": "WEB",
      "url": "https://intel.com/content/www/us/en/security-center/advisory/intel-sa-01192.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/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-3763-PMWR-W4QP

Vulnerability from github – Published: 2024-08-13 18:31 – Updated: 2024-08-13 18:31
VLAI
Details

An insufficient DRAM address validation in PMFW may allow a privileged attacker to perform a DMA read from an invalid DRAM address to SRAM, potentially resulting in loss of data integrity.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-20509"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-08-13T17:15:18Z",
    "severity": "MODERATE"
  },
  "details": "An insufficient DRAM address validation in PMFW may allow a privileged attacker to perform a DMA read from an invalid DRAM address to SRAM, potentially resulting in loss of data integrity.",
  "id": "GHSA-3763-pmwr-w4qp",
  "modified": "2024-08-13T18:31:15Z",
  "published": "2024-08-13T18:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-20509"
    },
    {
      "type": "WEB",
      "url": "https://www.amd.com/en/resources/product-security/bulletin/amd-sb-6005.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:L/I:H/A:L",
      "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.