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.

11369 vulnerabilities reference this CWE, most recent first.

GHSA-PXQX-98JV-6WVP

Vulnerability from github – Published: 2022-05-14 02:03 – Updated: 2022-05-14 02:03
VLAI
Details

** DISPUTED ** The libesedb_page_read_tags function in libesedb_page.c in libesedb through 2018-04-01 allows remote attackers to cause a heap-based buffer over-read via a crafted esedb file. NOTE: the vendor has disputed this as described in the GitHub issue comments.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-15159"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-09-01T03:29:00Z",
    "severity": "MODERATE"
  },
  "details": "** DISPUTED ** The libesedb_page_read_tags function in libesedb_page.c in libesedb through 2018-04-01 allows remote attackers to cause a heap-based buffer over-read via a crafted esedb file. NOTE: the vendor has disputed this as described in the GitHub issue comments.",
  "id": "GHSA-pxqx-98jv-6wvp",
  "modified": "2022-05-14T02:03:31Z",
  "published": "2022-05-14T02:03:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-15159"
    },
    {
      "type": "WEB",
      "url": "https://github.com/libyal/libesedb/issues/43"
    }
  ],
  "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-PXRP-7G54-JF38

Vulnerability from github – Published: 2025-08-14 18:31 – Updated: 2025-08-14 21:31
VLAI
Details

An issue was discovered in Malwarebytes 4.6.14.326 and before and 5.1.5.116 and before (and Nebula 2020-10-21 and later). An Out of bounds read in several disassembling utilities causes stability issues and denial of service.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-43694"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-14T16:15:27Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in Malwarebytes 4.6.14.326 and before and 5.1.5.116 and before (and Nebula 2020-10-21 and later). An Out of bounds read in several disassembling utilities causes stability issues and denial of service.",
  "id": "GHSA-pxrp-7g54-jf38",
  "modified": "2025-08-14T21:31:57Z",
  "published": "2025-08-14T18:31:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-43694"
    },
    {
      "type": "WEB",
      "url": "https://www.malwarebytes.com/secure/cves/cve-2023-43694"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-PXRW-J2FV-HX3H

Vulnerability from github – Published: 2022-09-16 21:04 – Updated: 2022-09-19 19:42
VLAI
Summary
TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
Details

Impact

The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered.

Patches

We have patched the issue in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Hui Peng from Baidu Security.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35937"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T21:04:10Z",
    "nvd_published_at": "2022-09-16T20:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [`GatherNd`](https://github.com/tensorflow/tensorflow/blob/f463040eb3997e42e60a2ffc6dc72de7ef11dbb4/tensorflow/lite/kernels/gather_nd.cc#L105-L111) function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered.\n\n### Patches\nWe have patched the issue in GitHub commit [595a65a3e224a0362d7e68c2213acfc2b499a196](https://github.com/tensorflow/tensorflow/commit/595a65a3e224a0362d7e68c2213acfc2b499a196).\n\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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\n### Attribution\nThis vulnerability has been reported by Hui Peng from Baidu Security.\n",
  "id": "GHSA-pxrw-j2fv-hx3h",
  "modified": "2022-09-19T19:42:12Z",
  "published": "2022-09-16T21:04:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pxrw-j2fv-hx3h"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35937"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/595a65a3e224a0362d7e68c2213acfc2b499a196"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/f463040eb3997e42e60a2ffc6dc72de7ef11dbb4/tensorflow/lite/kernels/gather_nd.cc#L105-L111"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite"
}

GHSA-PXRW-P8G9-545P

Vulnerability from github – Published: 2022-05-13 01:26 – Updated: 2022-05-13 01:26
VLAI
Details

An OOB heap buffer r/w access issue was found in the NVM Express Controller emulation in QEMU. It could occur in nvme_cmb_ops routines in nvme device. A guest user/process could use this flaw to crash the QEMU process resulting in DoS or potentially run arbitrary code with privileges of the QEMU process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-16847"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-11-02T22:29:00Z",
    "severity": "HIGH"
  },
  "details": "An OOB heap buffer r/w access issue was found in the NVM Express Controller emulation in QEMU. It could occur in nvme_cmb_ops routines in nvme device. A guest user/process could use this flaw to crash the QEMU process resulting in DoS or potentially run arbitrary code with privileges of the QEMU process.",
  "id": "GHSA-pxrw-p8g9-545p",
  "modified": "2022-05-13T01:26:34Z",
  "published": "2022-05-13T01:26:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-16847"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2018-16847"
    },
    {
      "type": "WEB",
      "url": "https://lists.gnu.org/archive/html/qemu-devel/2018-11/msg00200.html"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/3826-1"
    },
    {
      "type": "WEB",
      "url": "https://www.openwall.com/lists/oss-security/2018/11/02/1"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/105866"
    }
  ],
  "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-PXWR-CC58-GQ3M

Vulnerability from github – Published: 2025-04-17 21:30 – Updated: 2025-04-17 21:30
VLAI
Details

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

um: Fix out-of-bounds read in LDT setup

syscall_stub_data() expects the data_count parameter to be the number of longs, not bytes.

================================================================== BUG: KASAN: stack-out-of-bounds in syscall_stub_data+0x70/0xe0 Read of size 128 at addr 000000006411f6f0 by task swapper/1

CPU: 0 PID: 1 Comm: swapper Not tainted 5.18.0+ #18 Call Trace: show_stack.cold+0x166/0x2a7 __dump_stack+0x3a/0x43 dump_stack_lvl+0x1f/0x27 print_report.cold+0xdb/0xf81 kasan_report+0x119/0x1f0 kasan_check_range+0x3a3/0x440 memcpy+0x52/0x140 syscall_stub_data+0x70/0xe0 write_ldt_entry+0xac/0x190 init_new_ldt+0x515/0x960 init_new_context+0x2c4/0x4d0 mm_init.constprop.0+0x5ed/0x760 mm_alloc+0x118/0x170 0x60033f48 do_one_initcall+0x1d7/0x860 0x60003e7b kernel_init+0x6e/0x3d4 new_thread_handler+0x1e7/0x2c0

The buggy address belongs to stack of task swapper/1 and is located at offset 64 in frame: init_new_ldt+0x0/0x960

This frame has 2 objects: [32, 40) 'addr' [64, 80) 'desc' ==================================================================

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-49395"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-02-26T07:01:16Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\num: Fix out-of-bounds read in LDT setup\n\nsyscall_stub_data() expects the data_count parameter to be the number of\nlongs, not bytes.\n\n ==================================================================\n BUG: KASAN: stack-out-of-bounds in syscall_stub_data+0x70/0xe0\n Read of size 128 at addr 000000006411f6f0 by task swapper/1\n\n CPU: 0 PID: 1 Comm: swapper Not tainted 5.18.0+ #18\n Call Trace:\n  show_stack.cold+0x166/0x2a7\n  __dump_stack+0x3a/0x43\n  dump_stack_lvl+0x1f/0x27\n  print_report.cold+0xdb/0xf81\n  kasan_report+0x119/0x1f0\n  kasan_check_range+0x3a3/0x440\n  memcpy+0x52/0x140\n  syscall_stub_data+0x70/0xe0\n  write_ldt_entry+0xac/0x190\n  init_new_ldt+0x515/0x960\n  init_new_context+0x2c4/0x4d0\n  mm_init.constprop.0+0x5ed/0x760\n  mm_alloc+0x118/0x170\n  0x60033f48\n  do_one_initcall+0x1d7/0x860\n  0x60003e7b\n  kernel_init+0x6e/0x3d4\n  new_thread_handler+0x1e7/0x2c0\n\n The buggy address belongs to stack of task swapper/1\n  and is located at offset 64 in frame:\n  init_new_ldt+0x0/0x960\n\n This frame has 2 objects:\n  [32, 40) \u0027addr\u0027\n  [64, 80) \u0027desc\u0027\n ==================================================================",
  "id": "GHSA-pxwr-cc58-gq3m",
  "modified": "2025-04-17T21:30:44Z",
  "published": "2025-04-17T21:30:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-49395"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/10995a382271254bd276627ec74136da4a23c4a6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/24ca648bf5f72ed8878cf09b5d4431935779681e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2a4a62a14be1947fa945c5c11ebf67326381a568"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3549ab4b962cf619e8c55484a0d870a34b3f845f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/668ca34a428d6ffc0f99a1a6a9b661a288d4183b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/91e5ba2af2d729d5126aefd5aa3eadc69b8426e5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9caad70819aef3431abaf73ba5163b55b161aba0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cf0dabc37446c5ee538ae7b4c467ab0e53fa5463"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ef1dc929a1e5fa1b2d842256db9fb8710d3be910"
    }
  ],
  "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-PXWV-VQ3C-Q2VM

Vulnerability from github – Published: 2022-05-14 03:40 – Updated: 2022-05-14 03:40
VLAI
Details

Huawei AR120-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR1200 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR1200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR150 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR150-S V200R005C32, V200R007C00, V200R008C20, V200R008C30, AR160 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR200 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R008C20, V200R008C30, AR200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR2200 V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR2200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR3200 V200R005C32, V200R006C10, V200R006C11, V200R007C00, V200R007C01, V200R007C02, V200R008C00, V200R008C10, V200R008C20, V200R008C30, AR3600 V200R006C10, V200R007C00, V200R007C01, V200R008C20, AR510 V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, NetEngine16EX V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, SRG1300 V200R005C32, V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG2300 V200R005C32, V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG3300 V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30 have an out-of-bounds read vulnerability due to insufficient input validation. An unauthenticated, remote attacker could exploit this vulnerability by sending malformed Session Initiation Protocol(SIP) packets to the target device. Successful exploit could make the device read out of bounds and thus cause a service to be unavailable.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-17202"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-02-15T16:29:00Z",
    "severity": "HIGH"
  },
  "details": "Huawei AR120-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR1200 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR1200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR150 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR150-S V200R005C32, V200R007C00, V200R008C20, V200R008C30, AR160 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR200 V200R005C32, V200R006C10, V200R007C00, V200R007C01, V200R008C20, V200R008C30, AR200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR2200 V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR2200-S V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR3200 V200R005C32, V200R006C10, V200R006C11, V200R007C00, V200R007C01, V200R007C02, V200R008C00, V200R008C10, V200R008C20, V200R008C30, AR3600 V200R006C10, V200R007C00, V200R007C01, V200R008C20, AR510 V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, NetEngine16EX V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30, SRG1300 V200R005C32, V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG2300 V200R005C32, V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG3300 V200R005C32, V200R006C10, V200R007C00, V200R008C20, V200R008C30 have an out-of-bounds read vulnerability due to insufficient input validation. An unauthenticated, remote attacker could exploit this vulnerability by sending malformed Session Initiation Protocol(SIP) packets to the target device. Successful exploit could make the device read out of bounds and thus cause a service to be unavailable.",
  "id": "GHSA-pxwv-vq3c-q2vm",
  "modified": "2022-05-14T03:40:01Z",
  "published": "2022-05-14T03:40:01Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-17202"
    },
    {
      "type": "WEB",
      "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180131-01-sip-en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-PXWX-G88V-CM98

Vulnerability from github – Published: 2023-03-29 21:30 – Updated: 2024-11-27 21:32
VLAI
Details

This vulnerability allows remote attackers to disclose sensitive information 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 J2K files. Crafted data in a J2K file can trigger 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-17636.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-37351"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-29T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "This vulnerability allows remote attackers to disclose sensitive information 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 J2K files. Crafted data in a J2K file can trigger 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-17636.",
  "id": "GHSA-pxwx-g88v-cm98",
  "modified": "2024-11-27T21:32:40Z",
  "published": "2023-03-29T21:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-37351"
    },
    {
      "type": "WEB",
      "url": "https://www.tracker-software.com/product/pdf-xchange-editor/history"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1079"
    }
  ],
  "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-PXXV-JWGH-4C96

Vulnerability from github – Published: 2022-05-13 01:42 – Updated: 2022-05-13 01:42
VLAI
Details

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, while processing cfg80211 vendor sub command QCA_NL80211_VENDOR_SUBCMD_ROAM, a buffer over-read can occur.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-11061"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-10-10T20:29:00Z",
    "severity": "HIGH"
  },
  "details": "In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, while processing cfg80211 vendor sub command QCA_NL80211_VENDOR_SUBCMD_ROAM, a buffer over-read can occur.",
  "id": "GHSA-pxxv-jwgh-4c96",
  "modified": "2022-05-13T01:42:06Z",
  "published": "2022-05-13T01:42:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-11061"
    },
    {
      "type": "WEB",
      "url": "https://source.android.com/security/bulletin/pixel/2017-10-01"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/101160"
    }
  ],
  "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-PXXX-Q4Q5-PQF9

Vulnerability from github – Published: 2023-04-12 21:30 – Updated: 2023-04-12 21:30
VLAI
Details

Adobe Dimension version 3.4.8 (and earlier) is 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-2023-26378"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-04-12T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Adobe Dimension version 3.4.8 (and earlier) is 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-pxxx-q4q5-pqf9",
  "modified": "2023-04-12T21:30:19Z",
  "published": "2023-04-12T21:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-26378"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/dimension/apsb23-27.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-Q22C-W32J-8CP8

Vulnerability from github – Published: 2023-08-23 03:30 – Updated: 2024-03-21 03:35
VLAI
Details

** UNSUPPPORTED WHEN ASSIGNED ** ** UNSUPPORTED WHEN ASSIGNED ** Out-of-bounds Read vulnerability in Hitachi EH-VIEW (Designer) allows local attackers to potentially disclose information on affected EH-VIEW installations. User interaction is required to exploit the vulnerabilities in that the user must open a malicious file. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-39986"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-23T02:15:08Z",
    "severity": "MODERATE"
  },
  "details": "** UNSUPPPORTED WHEN ASSIGNED ** ** UNSUPPORTED WHEN ASSIGNED ** Out-of-bounds Read vulnerability in Hitachi EH-VIEW (Designer) allows local attackers to potentially disclose information on affected EH-VIEW installations. User interaction is required to exploit the vulnerabilities in that the user must open a malicious file. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.",
  "id": "GHSA-q22c-w32j-8cp8",
  "modified": "2024-03-21T03:35:41Z",
  "published": "2023-08-23T03:30:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-39986"
    },
    {
      "type": "WEB",
      "url": "https://www.hitachi.com/hirt/hitachi-sec/2023/002.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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.