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.

11494 vulnerabilities reference this CWE, most recent first.

GHSA-599W-55GQ-8Q3F

Vulnerability from github – Published: 2022-05-24 16:47 – Updated: 2024-04-04 00:54
VLAI
Details

In radare2 through 3.5.1, there is a heap-based buffer over-read in the r_egg_lang_parsechar function of egg_lang.c. This allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact because of missing length validation in libr/egg/egg.c.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-12790"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-06-10T19:29:00Z",
    "severity": "HIGH"
  },
  "details": "In radare2 through 3.5.1, there is a heap-based buffer over-read in the r_egg_lang_parsechar function of egg_lang.c. This allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact because of missing length validation in libr/egg/egg.c.",
  "id": "GHSA-599w-55gq-8q3f",
  "modified": "2024-04-04T00:54:55Z",
  "published": "2022-05-24T16:47:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-12790"
    },
    {
      "type": "WEB",
      "url": "https://github.com/radare/radare2/issues/14211"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/IEXZWAMVKGZKHALV4IVWQS2ORJKRH57U"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/SX4TLTE75VYUGSPYEKMYFPUZMRDIR7O2"
    }
  ],
  "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-59CM-PX3X-HQRM

Vulnerability from github – Published: 2022-09-17 00:00 – Updated: 2022-09-20 00:00
VLAI
Details

Denial of service in WLAN HOST due to buffer over read while unpacking frames in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-25670"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-16T06:15:00Z",
    "severity": "HIGH"
  },
  "details": "Denial of service in WLAN HOST due to buffer over read while unpacking frames in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wearables",
  "id": "GHSA-59cm-px3x-hqrm",
  "modified": "2022-09-20T00:00:29Z",
  "published": "2022-09-17T00:00:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-25670"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/september-2022-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-59FR-V79H-CPP9

Vulnerability from github – Published: 2025-01-07 09:30 – Updated: 2025-01-07 09:30
VLAI
Details

in OpenHarmony v4.1.2 and prior versions allow a local attacker cause information leak through out-of-bounds Read.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-45070"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-07T08:15:25Z",
    "severity": "MODERATE"
  },
  "details": "in OpenHarmony v4.1.2 and prior versions allow a local attacker cause information leak through out-of-bounds Read.",
  "id": "GHSA-59fr-v79h-cpp9",
  "modified": "2025-01-07T09:30:46Z",
  "published": "2025-01-07T09:30:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-45070"
    },
    {
      "type": "WEB",
      "url": "https://gitee.com/openharmony/security/blob/master/zh/security-disclosure/2025/2025-01.md"
    }
  ],
  "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"
    }
  ]
}

GHSA-59GW-XVHQ-G8MG

Vulnerability from github – Published: 2022-05-14 03:09 – Updated: 2024-10-21 15:32
VLAI
Details

An out-of-bounds read when an HTTP/2 connection to a servers sends "DATA" frames with incorrect data content. This leads to a potentially exploitable crash. This vulnerability affects Thunderbird < 52.1, Firefox ESR < 45.9, Firefox ESR < 52.1, and Firefox < 53.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-5446"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-06-11T21:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "An out-of-bounds read when an HTTP/2 connection to a servers sends \"DATA\" frames with incorrect data content. This leads to a potentially exploitable crash. This vulnerability affects Thunderbird \u003c 52.1, Firefox ESR \u003c 45.9, Firefox ESR \u003c 52.1, and Firefox \u003c 53.",
  "id": "GHSA-59gw-xvhq-g8mg",
  "modified": "2024-10-21T15:32:20Z",
  "published": "2022-05-14T03:09:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-5446"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1104"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1106"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1201"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.mozilla.org/show_bug.cgi?id=1343505"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2017/dsa-3831"
    },
    {
      "type": "WEB",
      "url": "https://www.mozilla.org/security/advisories/mfsa2017-10"
    },
    {
      "type": "WEB",
      "url": "https://www.mozilla.org/security/advisories/mfsa2017-11"
    },
    {
      "type": "WEB",
      "url": "https://www.mozilla.org/security/advisories/mfsa2017-12"
    },
    {
      "type": "WEB",
      "url": "https://www.mozilla.org/security/advisories/mfsa2017-13"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/97940"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1038320"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-59HR-2PV8-437G

Vulnerability from github – Published: 2023-08-10 15:30 – Updated: 2024-04-04 06:47
VLAI
Details

Adobe Acrobat Reader versions 23.003.20244 (and earlier) and 20.005.30467 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-38229"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-10T14:15:13Z",
    "severity": "HIGH"
  },
  "details": "Adobe Acrobat Reader versions 23.003.20244 (and earlier) and 20.005.30467 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-59hr-2pv8-437g",
  "modified": "2024-04-04T06:47:34Z",
  "published": "2023-08-10T15:30:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-38229"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/acrobat/apsb23-30.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"
    }
  ]
}

GHSA-59MX-6M8M-C99J

Vulnerability from github – Published: 2024-03-03 00:30 – Updated: 2024-12-11 15:31
VLAI
Details

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

x86/alternatives: Disable KASAN in apply_alternatives()

Fei has reported that KASAN triggers during apply_alternatives() on a 5-level paging machine:

BUG: KASAN: out-of-bounds in rcu_is_watching()
Read of size 4 at addr ff110003ee6419a0 by task swapper/0/0
...
__asan_load4()
rcu_is_watching()
trace_hardirqs_on()
text_poke_early()
apply_alternatives()
...

On machines with 5-level paging, cpu_feature_enabled(X86_FEATURE_LA57) gets patched. It includes KASAN code, where KASAN_SHADOW_START depends on __VIRTUAL_MASK_SHIFT, which is defined with cpu_feature_enabled().

KASAN gets confused when apply_alternatives() patches the KASAN_SHADOW_START users. A test patch that makes KASAN_SHADOW_START static, by replacing __VIRTUAL_MASK_SHIFT with 56, works around the issue.

Fix it for real by disabling KASAN while the kernel is patching alternatives.

[ mingo: updated the changelog ]

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-52504"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-03-02T22:15:47Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nx86/alternatives: Disable KASAN in apply_alternatives()\n\nFei has reported that KASAN triggers during apply_alternatives() on\na 5-level paging machine:\n\n\tBUG: KASAN: out-of-bounds in rcu_is_watching()\n\tRead of size 4 at addr ff110003ee6419a0 by task swapper/0/0\n\t...\n\t__asan_load4()\n\trcu_is_watching()\n\ttrace_hardirqs_on()\n\ttext_poke_early()\n\tapply_alternatives()\n\t...\n\nOn machines with 5-level paging, cpu_feature_enabled(X86_FEATURE_LA57)\ngets patched. It includes KASAN code, where KASAN_SHADOW_START depends on\n__VIRTUAL_MASK_SHIFT, which is defined with cpu_feature_enabled().\n\nKASAN gets confused when apply_alternatives() patches the\nKASAN_SHADOW_START users. A test patch that makes KASAN_SHADOW_START\nstatic, by replacing __VIRTUAL_MASK_SHIFT with 56, works around the issue.\n\nFix it for real by disabling KASAN while the kernel is patching alternatives.\n\n[ mingo: updated the changelog ]",
  "id": "GHSA-59mx-6m8m-c99j",
  "modified": "2024-12-11T15:31:14Z",
  "published": "2024-03-03T00:30:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52504"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3719d3c36aa853d5a2401af9f8d6b116c91ad5ae"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3770c38cd6a60494da29ac2da73ff8156440a2d1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5b784489c8158518bf7a466bb3cc045b0fb66b4b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6788b10620ca6e98575d1e06e72a8974aad7657e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cd287cc208dfe6bd6da98e7f88e723209242c9b4"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d35652a5fc9944784f6f50a5c979518ff8dacf61"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ecba5afe86f30605eb9dfb7f265a8de0218d4cfc"
    }
  ],
  "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-59Q2-X2QC-4C97

Vulnerability from github – Published: 2021-05-21 14:24 – Updated: 2024-10-31 20:52
VLAI
Summary
Heap OOB access in unicode ops
Details

Impact

An attacker can access data outside of bounds of heap allocated array in tf.raw_ops.UnicodeEncode:

import tensorflow as tf

input_values = tf.constant([58], shape=[1], dtype=tf.int32)
input_splits = tf.constant([[81, 101, 0]], shape=[3], dtype=tf.int32)
output_encoding = "UTF-8"

tf.raw_ops.UnicodeEncode(
    input_values=input_values, input_splits=input_splits,
    output_encoding=output_encoding)

This is because the implementation assumes that the input_value/input_splits pair specify a valid sparse tensor.

Patches

We have patched the issue in GitHub commit 51300ba1cc2f487aefec6e6631fef03b0e08b298.

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"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "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-2021-29559"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T20:27:11Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can access data outside of bounds of heap allocated array in `tf.raw_ops.UnicodeEncode`:\n\n```python\nimport tensorflow as tf\n\ninput_values = tf.constant([58], shape=[1], dtype=tf.int32)\ninput_splits = tf.constant([[81, 101, 0]], shape=[3], dtype=tf.int32)\noutput_encoding = \"UTF-8\"\n\ntf.raw_ops.UnicodeEncode(\n    input_values=input_values, input_splits=input_splits,\n    output_encoding=output_encoding)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/472c1f12ad9063405737679d4f6bd43094e1d36d/tensorflow/core/kernels/unicode_ops.cc)\nassumes that the `input_value`/`input_splits` pair specify a valid sparse tensor.\n\n### Patches\nWe have patched the issue in GitHub commit [51300ba1cc2f487aefec6e6631fef03b0e08b298](https://github.com/tensorflow/tensorflow/commit/51300ba1cc2f487aefec6e6631fef03b0e08b298).\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-59q2-x2qc-4c97",
  "modified": "2024-10-31T20:52:47Z",
  "published": "2021-05-21T14:24:54Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-59q2-x2qc-4c97"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29559"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/51300ba1cc2f487aefec6e6631fef03b0e08b298"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-487.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-685.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-196.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 OOB access in unicode ops"
}

GHSA-59QX-59MF-R826

Vulnerability from github – Published: 2022-05-24 17:18 – Updated: 2023-08-17 15:30
VLAI
Details

ffjpeg through 2020-02-24 has a heap-based buffer over-read in jfif_decode in jfif.c.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-13439"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-05-24T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "ffjpeg through 2020-02-24 has a heap-based buffer over-read in jfif_decode in jfif.c.",
  "id": "GHSA-59qx-59mf-r826",
  "modified": "2023-08-17T15:30:19Z",
  "published": "2022-05-24T17:18:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-13439"
    },
    {
      "type": "WEB",
      "url": "https://github.com/rockcarry/ffjpeg/issues/24"
    }
  ],
  "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-59RH-53QM-WCV4

Vulnerability from github – Published: 2022-05-13 01:09 – Updated: 2025-04-20 03:32
VLAI
Details

The compile_bracket_matchingpath function in pcre_jit_compile.c in PCRE through 8.x before revision 1680 (e.g., the PHP 7.1.1 bundled version) allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted regular expression.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-6004"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-02-16T11:59:00Z",
    "severity": "HIGH"
  },
  "details": "The compile_bracket_matchingpath function in pcre_jit_compile.c in PCRE through 8.x before revision 1680 (e.g., the PHP 7.1.1 bundled version) allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted regular expression.",
  "id": "GHSA-59rh-53qm-wcv4",
  "modified": "2025-04-20T03:32:57Z",
  "published": "2022-05-13T01:09:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-6004"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2018:2486"
    },
    {
      "type": "WEB",
      "url": "https://bugs.exim.org/show_bug.cgi?id=2035"
    },
    {
      "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://security.gentoo.org/glsa/201706-11"
    },
    {
      "type": "WEB",
      "url": "https://vcs.pcre.org/pcre/code/trunk/pcre_jit_compile.c?r1=1676\u0026r2=1680\u0026view=patch"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/96295"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1037850"
    }
  ],
  "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-59RH-RVM6-RFRH

Vulnerability from github – Published: 2022-05-13 01:50 – Updated: 2022-05-13 01:50
VLAI
Details

An issue has been discovered in Bento4 1.5.1-624. AP4_MemoryByteStream::WritePartial in Core/Ap4ByteStream.cpp has a buffer over-read.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-14587"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-07-24T16:29:00Z",
    "severity": "HIGH"
  },
  "details": "An issue has been discovered in Bento4 1.5.1-624. AP4_MemoryByteStream::WritePartial in Core/Ap4ByteStream.cpp has a buffer over-read.",
  "id": "GHSA-59rh-rvm6-rfrh",
  "modified": "2022-05-13T01:50:00Z",
  "published": "2022-05-13T01:50:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-14587"
    },
    {
      "type": "WEB",
      "url": "https://github.com/axiomatic-systems/Bento4/issues/301"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/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.