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.

11384 vulnerabilities reference this CWE, most recent first.

GHSA-FR4Q-W8RJ-PP3H

Vulnerability from github – Published: 2022-04-02 00:00 – Updated: 2022-04-10 00:01
VLAI
Details

Possible out of bound read due to improper length calculation of WMI message. in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-35106"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-01T05:15:00Z",
    "severity": "HIGH"
  },
  "details": "Possible out of bound read due to improper length calculation of WMI message. in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wearables",
  "id": "GHSA-fr4q-w8rj-pp3h",
  "modified": "2022-04-10T00:01:09Z",
  "published": "2022-04-02T00:00:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-35106"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/march-2022-bulletin"
    }
  ],
  "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-FR5P-JV24-2GW9

Vulnerability from github – Published: 2022-05-14 02:04 – Updated: 2025-04-20 03:35
VLAI
Details

game-music-emu before 0.6.1 allows remote attackers to generate out of bounds 8-bit values.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-9959"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-04-12T20:59:00Z",
    "severity": "HIGH"
  },
  "details": "game-music-emu before 0.6.1 allows remote attackers to generate out of bounds 8-bit values.",
  "id": "GHSA-fr5p-jv24-2gw9",
  "modified": "2025-04-20T03:35:57Z",
  "published": "2022-05-14T02:04:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-9959"
    },
    {
      "type": "WEB",
      "url": "https://bitbucket.org/mpyne/game-music-emu/wiki/Home"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/6LKMKVYS7AVB2EXC463FUYN6C6FABHME"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/F7Z2OVERYM6NW3FGVGTJUNSL5ZNFSH2S"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/GGHAQI5Q2XDSPGRRKPJJM3A73VWAFSFL"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/QHFKIFSFIDXOKFUKAH2MBNXDTY6DYBF6"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/6LKMKVYS7AVB2EXC463FUYN6C6FABHME"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/F7Z2OVERYM6NW3FGVGTJUNSL5ZNFSH2S"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GGHAQI5Q2XDSPGRRKPJJM3A73VWAFSFL"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/QHFKIFSFIDXOKFUKAH2MBNXDTY6DYBF6"
    },
    {
      "type": "WEB",
      "url": "https://scarybeastsecurity.blogspot.in/2016/12/redux-compromising-linux-using-snes.html"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201707-02"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2016-12/msg00090.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2017-01/msg00005.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2016/12/15/11"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/95305"
    }
  ],
  "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-FR77-RRX3-CP7G

Vulnerability from github – Published: 2021-11-10 19:00 – Updated: 2024-11-07 22:18
VLAI
Summary
Heap OOB read in `tf.ragged.cross`
Details

Impact

The shape inference code for tf.ragged.cross can trigger a read outside of bounds of heap allocated array:

import tensorflow as tf

@tf.function
def test():
  y = tf.raw_ops.RaggedCross(ragged_values=[],
                             ragged_row_splits=[],
                             sparse_indices=[[5]],
                             sparse_values=[],
                             sparse_shape=[5],
                             dense_inputs=[['a']],
                             input_order='RD',
                             hashed_output=False,
                             num_buckets=5,
                             hash_key=2,
                             out_values_type=tf.string,
                             out_row_splits_type=tf.int64)
  return y

test()

Patches

We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8.

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-2021-41212"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:31:43Z",
    "nvd_published_at": "2021-11-05T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [shape inference code for `tf.ragged.cross`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/ragged_array_ops.cc#L64) can trigger a read outside of bounds of heap allocated array:\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n  y = tf.raw_ops.RaggedCross(ragged_values=[],\n                             ragged_row_splits=[],\n                             sparse_indices=[[5]],\n                             sparse_values=[],\n                             sparse_shape=[5],\n                             dense_inputs=[[\u0027a\u0027]],\n                             input_order=\u0027RD\u0027,\n                             hashed_output=False,\n                             num_buckets=5,\n                             hash_key=2,\n                             out_values_type=tf.string,\n                             out_row_splits_type=tf.int64)\n  return y\n\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8](https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8).\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-fr77-rrx3-cp7g",
  "modified": "2024-11-07T22:18:15Z",
  "published": "2021-11-10T19:00:31Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fr77-rrx3-cp7g"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41212"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-621.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-819.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-404.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"
    }
  ],
  "summary": "Heap OOB read in `tf.ragged.cross`"
}

GHSA-FR78-4GJG-H5J9

Vulnerability from github – Published: 2023-08-22 21:30 – Updated: 2024-04-04 07:08
VLAI
Details

An issue was discovered in Binutils addr2line before 2.39.3, function parse_module contains multiple out of bound reads which may cause a denial of service or other unspecified impacts.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-47673"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-22T19:16:30Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in Binutils addr2line before 2.39.3, function parse_module contains multiple out of bound reads which may cause a denial of service or other unspecified impacts.",
  "id": "GHSA-fr78-4gjg-h5j9",
  "modified": "2024-04-04T07:08:00Z",
  "published": "2023-08-22T21:30:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-47673"
    },
    {
      "type": "WEB",
      "url": "https://sourceware.org/bugzilla/show_bug.cgi?id=29876"
    }
  ],
  "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-FR7F-QH29-24JQ

Vulnerability from github – Published: 2025-08-19 18:31 – Updated: 2026-01-19 15:30
VLAI
Details

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

HID: core: Harden s32ton() against conversion to 0 bits

Testing by the syzbot fuzzer showed that the HID core gets a shift-out-of-bounds exception when it tries to convert a 32-bit quantity to a 0-bit quantity. Ideally this should never occur, but there are buggy devices and some might have a report field with size set to zero; we shouldn't reject the report or the device just because of that.

Instead, harden the s32ton() routine so that it returns a reasonable result instead of crashing when it is called with the number of bits set to 0 -- the same as what snto32() does.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-38556"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-19T17:15:31Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nHID: core: Harden s32ton() against conversion to 0 bits\n\nTesting by the syzbot fuzzer showed that the HID core gets a\nshift-out-of-bounds exception when it tries to convert a 32-bit\nquantity to a 0-bit quantity.  Ideally this should never occur, but\nthere are buggy devices and some might have a report field with size\nset to zero; we shouldn\u0027t reject the report or the device just because\nof that.\n\nInstead, harden the s32ton() routine so that it returns a reasonable\nresult instead of crashing when it is called with the number of bits\nset to 0 -- the same as what snto32() does.",
  "id": "GHSA-fr7f-qh29-24jq",
  "modified": "2026-01-19T15:30:32Z",
  "published": "2025-08-19T18:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-38556"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3c86548a20d7bc2861aa4de044991a327bebad1a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6cdf6c708717c5c6897d0800a1793e83757c7491"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/810189546cb6c8f36443ed091d91f1f5d2fc2ec7"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/865ad8469fa24de1559f247d9426ab01e5ce3a56"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8b4a94b1510f6a46ec48494b52ee8f67eb4fc836"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a6b87bfc2ab5bccb7ad953693c85d9062aef3fdd"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d3b504146c111548ab60b6ef7aad00bfb1db05a2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/eeeaba737919bdce9885e2a00ac2912f61a3684d"
    }
  ],
  "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-FR8P-HJHJ-2QXG

Vulnerability from github – Published: 2021-12-15 00:01 – Updated: 2021-12-15 00:01
VLAI
Details

A vulnerability has been identified in JT Utilities (All versions < V13.1.1.0), JTTK (All versions < V11.1.1.0). JTTK library in affected products is vulnerable to an out of bounds read past the end of an allocated buffer when parsing specially crafted JT files. An attacker could leverage this vulnerability to leak information in the context of the current process. (ZDI-CAN-14905)

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-44436"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-12-14T12:15:00Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been identified in JT Utilities (All versions \u003c V13.1.1.0), JTTK (All versions \u003c V11.1.1.0). JTTK library in affected products is vulnerable to an out of bounds read past the end of an allocated buffer when parsing specially crafted JT files. An attacker could leverage this vulnerability to leak information in the context of the current process. (ZDI-CAN-14905)",
  "id": "GHSA-fr8p-hjhj-2qxg",
  "modified": "2021-12-15T00:01:13Z",
  "published": "2021-12-15T00:01:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-44436"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-802578.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-FR8P-QGHP-H546

Vulnerability from github – Published: 2023-05-12 00:30 – Updated: 2024-04-04 04:03
VLAI
Details

Adobe Substance 3D Painter versions 8.3.0 (and earlier) is 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-2023-29274"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-05-11T22:15:10Z",
    "severity": "HIGH"
  },
  "details": "Adobe Substance 3D Painter versions 8.3.0 (and earlier) is 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-fr8p-qghp-h546",
  "modified": "2024-04-04T04:03:08Z",
  "published": "2023-05-12T00:30:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-29274"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/substance3d_painter/apsb23-29.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-FRC8-7F65-3G5R

Vulnerability from github – Published: 2024-05-21 18:31 – Updated: 2025-03-06 15:34
VLAI
Details

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

thermal: intel: powerclamp: fix mismatch in get function for max_idle

KASAN reported this

  [ 444.853098] BUG: KASAN: global-out-of-bounds in param_get_int+0x77/0x90
  [ 444.853111] Read of size 4 at addr ffffffffc16c9220 by task cat/2105
  ...
  [ 444.853442] The buggy address belongs to the variable:
  [ 444.853443] max_idle+0x0/0xffffffffffffcde0 [intel_powerclamp]

There is a mismatch between the param_get_int and the definition of max_idle. Replacing param_get_int with param_get_byte resolves this issue.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-52794"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-21T16:15:18Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nthermal: intel: powerclamp: fix mismatch in get function for max_idle\n\nKASAN reported this\n\n      [ 444.853098] BUG: KASAN: global-out-of-bounds in param_get_int+0x77/0x90\n      [ 444.853111] Read of size 4 at addr ffffffffc16c9220 by task cat/2105\n      ...\n      [ 444.853442] The buggy address belongs to the variable:\n      [ 444.853443] max_idle+0x0/0xffffffffffffcde0 [intel_powerclamp]\n\nThere is a mismatch between the param_get_int and the definition of\nmax_idle.  Replacing param_get_int with param_get_byte resolves this\nissue.",
  "id": "GHSA-frc8-7f65-3g5r",
  "modified": "2025-03-06T15:34:35Z",
  "published": "2024-05-21T18:31:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52794"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0a8585281b11e3a0723bba8d8085d61f0b55f37c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6a3866dbdcf39ac93e98708e6abced511733dc18"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fae633cfb729da2771b5433f6b84ae7e8b4aa5f7"
    }
  ],
  "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-FRCH-6RXH-9X7G

Vulnerability from github – Published: 2022-05-13 01:17 – Updated: 2022-05-13 01:17
VLAI
Details

This vulnerability allows remote attackers to disclose sensitive information on vulnerable installations of Foxit Reader 9.0.1.1049. 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 ConvertToPDF_x86.dll. 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 object. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-5755.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-9972"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-05-17T15:29:00Z",
    "severity": "MODERATE"
  },
  "details": "This vulnerability allows remote attackers to disclose sensitive information on vulnerable installations of Foxit Reader 9.0.1.1049. 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 ConvertToPDF_x86.dll. 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 object. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-5755.",
  "id": "GHSA-frch-6rxh-9x7g",
  "modified": "2022-05-13T01:17:48Z",
  "published": "2022-05-13T01:17:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-9972"
    },
    {
      "type": "WEB",
      "url": "https://www.foxitsoftware.com/support/security-bulletins.php"
    },
    {
      "type": "WEB",
      "url": "https://zerodayinitiative.com/advisories/ZDI-18-356"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-FRCM-7P38-7J57

Vulnerability from github – Published: 2022-05-13 01:09 – Updated: 2022-05-13 01:09
VLAI
Details

UltraVNC revision 1199 has a out-of-bounds read vulnerability in VNC code inside client CoRRE decoder, caused by multiplication overflow. This attack appears to be exploitable via network connectivity. This vulnerability has been fixed in revision 1200.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-8261"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-03-05T15:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "UltraVNC revision 1199 has a out-of-bounds read vulnerability in VNC code inside client CoRRE decoder, caused by multiplication overflow. This attack appears to be exploitable via network connectivity. This vulnerability has been fixed in revision 1200.",
  "id": "GHSA-frcm-7p38-7j57",
  "modified": "2022-05-13T01:09:07Z",
  "published": "2022-05-13T01:09:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-8261"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-286838.pdf"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-927095.pdf"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-940818.pdf"
    },
    {
      "type": "WEB",
      "url": "https://ics-cert.kaspersky.com/advisories/klcert-advisories/2019/03/01/klcert-19-007-ultravnc-out-of-bound-read"
    },
    {
      "type": "WEB",
      "url": "https://us-cert.cisa.gov/ics/advisories/icsa-21-131-11"
    },
    {
      "type": "WEB",
      "url": "https://www.us-cert.gov/ics/advisories/icsa-20-161-06"
    }
  ],
  "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"
    }
  ]
}

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.