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.

11402 vulnerabilities reference this CWE, most recent first.

GHSA-C453-9769-VGHQ

Vulnerability from github – Published: 2024-11-22 21:32 – Updated: 2024-11-22 21:32
VLAI
Details

PDF-XChange Editor PDF File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability. 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 PDF files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-24432.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-8841"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-11-22T21:15:22Z",
    "severity": "LOW"
  },
  "details": "PDF-XChange Editor PDF File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability. 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.\n\nThe specific flaw exists within the parsing of PDF files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-24432.",
  "id": "GHSA-c453-9769-vghq",
  "modified": "2024-11-22T21:32:19Z",
  "published": "2024-11-22T21:32:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-8841"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-24-1264"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-C453-CJPC-84JF

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

The gst_asf_demux_process_ext_stream_props function in gst/asfdemux/gstasfdemux.c in gst-plugins-ugly in GStreamer before 1.10.3 allows remote attackers to cause a denial of service (invalid memory read and crash) via vectors related to the number of languages in a video file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-5846"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-02-09T15:59:00Z",
    "severity": "MODERATE"
  },
  "details": "The gst_asf_demux_process_ext_stream_props function in gst/asfdemux/gstasfdemux.c in gst-plugins-ugly in GStreamer before 1.10.3 allows remote attackers to cause a denial of service (invalid memory read and crash) via vectors related to the number of languages in a video file.",
  "id": "GHSA-c453-cjpc-84jf",
  "modified": "2022-05-13T01:26:11Z",
  "published": "2022-05-13T01:26:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-5846"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.gnome.org/show_bug.cgi?id=777937"
    },
    {
      "type": "WEB",
      "url": "https://gstreamer.freedesktop.org/releases/1.10/#1.10.3"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2020/05/msg00030.html"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201705-10"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3821"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/02/01/7"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/02/02/9"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/96001"
    }
  ],
  "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-C45C-MX64-JM2W

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

IPPP82.FLT in Corel Presentations 2020 20.0.0.200 is affected by an Out-of-bounds Read vulnerability when parsing a crafted file. An unauthenticated attacker could leverage this vulnerability to access unauthorized system memory in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious PPT file. This is different from CVE-2021-38105.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-38102"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-10-01T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "IPPP82.FLT in Corel Presentations 2020 20.0.0.200 is affected by an Out-of-bounds Read vulnerability when parsing a crafted file. An unauthenticated attacker could leverage this vulnerability to access unauthorized system memory in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious PPT file. This is different from CVE-2021-38105.",
  "id": "GHSA-c45c-mx64-jm2w",
  "modified": "2022-05-24T19:16:23Z",
  "published": "2022-05-24T19:16:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-38102"
    },
    {
      "type": "WEB",
      "url": "https://www.fortiguard.com/zeroday/FG-VD-21-035"
    },
    {
      "type": "WEB",
      "url": "https://www.fortinet.com/blog/threat-research/fortinet-security-researcher-discovers-multiple-vulnerabilities-across-multiple-corel-products"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-C45W-2WXR-PP53

Vulnerability from github – Published: 2021-05-21 14:26 – Updated: 2024-11-01 17:14
VLAI
Summary
Heap OOB read in `tf.raw_ops.Dequantize`
Details

Impact

Due to lack of validation in tf.raw_ops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data:

import tensorflow as tf

input_tensor=tf.constant(
  [75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
  -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
  -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
  -10, -10, -10, -10], shape=[5, 10], dtype=tf.int32)
input_tensor=tf.cast(input_tensor, dtype=tf.quint8)
min_range = tf.constant([-10], shape=[1], dtype=tf.float32)
max_range = tf.constant([24, 758, 758, 758, 758], shape=[5], dtype=tf.float32)

tf.raw_ops.Dequantize( 
  input=input_tensor, min_range=min_range, max_range=max_range, mode='SCALED',
  narrow_range=True, axis=0, dtype=tf.dtypes.float32)

The implementation accesses the min_range and max_range tensors in parallel but fails to check that they have the same shape:

if (num_slices == 1) {
  const float min_range = input_min_tensor.flat<float>()(0);
  const float max_range = input_max_tensor.flat<float>()(0);
  DequantizeTensor(ctx, input, min_range, max_range, &float_output);
} else {
  ...
  auto min_ranges = input_min_tensor.vec<float>();
  auto max_ranges = input_max_tensor.vec<float>();
  for (int i = 0; i < num_slices; ++i) {
    DequantizeSlice(ctx->eigen_device<Device>(), ctx,
                    input_tensor.template chip<1>(i), min_ranges(i),
                    max_ranges(i), output_tensor.template chip<1>(i));
    ...
  }
}

Patches

We have patched the issue in GitHub commit 5899741d0421391ca878da47907b1452f06aaf1b.

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 Yakun Zhang and Ying Wang 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-2021-29582"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T17:47:11Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nDue to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data:\n\n```python\nimport tensorflow as tf\n\ninput_tensor=tf.constant(\n  [75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\\\n  -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\\\n  -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\\\n  -10, -10, -10, -10], shape=[5, 10], dtype=tf.int32)\ninput_tensor=tf.cast(input_tensor, dtype=tf.quint8)\nmin_range = tf.constant([-10], shape=[1], dtype=tf.float32)\nmax_range = tf.constant([24, 758, 758, 758, 758], shape=[5], dtype=tf.float32)\n  \ntf.raw_ops.Dequantize( \n  input=input_tensor, min_range=min_range, max_range=max_range, mode=\u0027SCALED\u0027,\n  narrow_range=True, axis=0, dtype=tf.dtypes.float32)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape:\n\n```cc\nif (num_slices == 1) {\n  const float min_range = input_min_tensor.flat\u003cfloat\u003e()(0);\n  const float max_range = input_max_tensor.flat\u003cfloat\u003e()(0);\n  DequantizeTensor(ctx, input, min_range, max_range, \u0026float_output);\n} else {\n  ...\n  auto min_ranges = input_min_tensor.vec\u003cfloat\u003e();\n  auto max_ranges = input_max_tensor.vec\u003cfloat\u003e();\n  for (int i = 0; i \u003c num_slices; ++i) {\n    DequantizeSlice(ctx-\u003eeigen_device\u003cDevice\u003e(), ctx,\n                    input_tensor.template chip\u003c1\u003e(i), min_ranges(i),\n                    max_ranges(i), output_tensor.template chip\u003c1\u003e(i));\n    ...\n  }\n}\n```\n\n### Patches\nWe have patched the issue in GitHub commit [5899741d0421391ca878da47907b1452f06aaf1b](https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b).\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 Yakun Zhang and Ying Wang of Baidu X-Team.",
  "id": "GHSA-c45w-2wxr-pp53",
  "modified": "2024-11-01T17:14:26Z",
  "published": "2021-05-21T14:26:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c45w-2wxr-pp53"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29582"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-510.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-708.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-219.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 read in `tf.raw_ops.Dequantize`"
}

GHSA-C46F-47CQ-C2FG

Vulnerability from github – Published: 2022-05-13 01:36 – Updated: 2022-05-13 01:36
VLAI
Details

An out-of-bounds memory access issue was found in Quick Emulator (QEMU) before 1.7.2 in the VNC display driver. This flaw could occur while refreshing the VNC display surface area in the 'vnc_refresh_server_surface'. A user inside a guest could use this flaw to crash the QEMU process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-2633"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-07-27T19:29:00Z",
    "severity": "MODERATE"
  },
  "details": "An out-of-bounds memory access issue was found in Quick Emulator (QEMU) before 1.7.2 in the VNC display driver. This flaw could occur while refreshing the VNC display surface area in the \u0027vnc_refresh_server_surface\u0027. A user inside a guest could use this flaw to crash the QEMU process.",
  "id": "GHSA-c46f-47cq-c2fg",
  "modified": "2022-05-13T01:36:52Z",
  "published": "2022-05-13T01:36:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-2633"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1205"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1206"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1441"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1856"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2017-2633"
    },
    {
      "type": "WEB",
      "url": "https://git.qemu.org/?p=qemu.git;a=commitdiff;h=9f64916da20eea67121d544698676295bbb105a7"
    },
    {
      "type": "WEB",
      "url": "https://git.qemu.org/?p=qemu.git;a=commitdiff;h=bea60dd7679364493a0d7f5b54316c767cf894ef"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/02/23/1"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/96417"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-C48J-W2FX-98QQ

Vulnerability from github – Published: 2023-08-08 12:30 – Updated: 2024-08-13 09:30
VLAI
Details

A vulnerability has been identified in Parasolid V34.1 (All versions < V34.1.258), Parasolid V35.0 (All versions < V35.0.254), Teamcenter Visualization V14.1 (All versions), Teamcenter Visualization V14.2 (All versions < V14.2.0.6), Teamcenter Visualization V14.3 (All versions). The affected applications contain an out of bounds read past the end of an allocated structure while parsing specially crafted X_T files. This could allow an attacker to execute code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-38527"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-08T10:15:15Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in Parasolid V34.1 (All versions \u003c V34.1.258), Parasolid V35.0 (All versions \u003c V35.0.254), Teamcenter Visualization V14.1 (All versions), Teamcenter Visualization V14.2 (All versions \u003c V14.2.0.6), Teamcenter Visualization V14.3 (All versions). The affected applications contain an out of bounds read past the end of an allocated structure while parsing specially crafted X_T files. This could allow an attacker to execute code in the context of the current process.",
  "id": "GHSA-c48j-w2fx-98qq",
  "modified": "2024-08-13T09:30:51Z",
  "published": "2023-08-08T12:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-38527"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-407785.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-407785.pdf"
    }
  ],
  "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"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:H/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/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-C48V-J765-QGCM

Vulnerability from github – Published: 2022-05-24 19:12 – Updated: 2022-05-24 19:12
VLAI
Details

Adobe Bridge version 11.1 (and earlier) is affected by an out-of-bounds read vulnerability when parsing a crafted .SGI 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-2021-36079"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-09-01T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "Adobe Bridge version 11.1 (and earlier) is affected by an out-of-bounds read vulnerability when parsing a crafted .SGI 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-c48v-j765-qgcm",
  "modified": "2022-05-24T19:12:42Z",
  "published": "2022-05-24T19:12:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-36079"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/bridge/apsb21-69.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-C499-VVJ4-HWWW

Vulnerability from github – Published: 2025-02-25 21:31 – Updated: 2025-02-25 21:31
VLAI
Details

NVIDIA CUDA toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-53872"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-02-25T21:15:16Z",
    "severity": "LOW"
  },
  "details": "NVIDIA CUDA toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service.",
  "id": "GHSA-c499-vvj4-hwww",
  "modified": "2025-02-25T21:31:44Z",
  "published": "2025-02-25T21:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53872"
    },
    {
      "type": "WEB",
      "url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5594"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-C4FW-R79C-WCG4

Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-17 18:35
VLAI
Details

Out of bounds read in WebRTC in Google Chrome on Windows prior to 149.0.7827.155 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High)

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-12461"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-17T13:20:03Z",
    "severity": "MODERATE"
  },
  "details": "Out of bounds read in WebRTC in Google Chrome on Windows prior to 149.0.7827.155 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High)",
  "id": "GHSA-c4fw-r79c-wcg4",
  "modified": "2026-06-17T18:35:46Z",
  "published": "2026-06-17T18:35:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12461"
    },
    {
      "type": "WEB",
      "url": "https://chromereleases.googleblog.com/2026/06/stable-channel-update-for-desktop_01750511403.html"
    },
    {
      "type": "WEB",
      "url": "https://issues.chromium.org/issues/517727318"
    }
  ],
  "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-C4H5-VGQH-28MG

Vulnerability from github – Published: 2022-05-14 01:10 – Updated: 2022-05-14 01:10
VLAI
Details

An out of bounds read flaw was discovered in libssh2 before 1.8.1 when a specially crafted SFTP packet is received from the server. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-3858"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-03-21T21:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "An out of bounds read flaw was discovered in libssh2 before 1.8.1 when a specially crafted SFTP packet is received from the server. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.",
  "id": "GHSA-c4h5-vgqh-28mg",
  "modified": "2022-05-14T01:10:39Z",
  "published": "2022-05-14T01:10:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-3858"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2019:2136"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2019-3858"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/03/msg00032.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/5DK6VO2CEUTAJFYIKWNZKEKYMYR3NO2O"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/XCWEA5ZCLKRDUK62QVVYMFWLWKOPX3LO"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/bugtraq/2019/Apr/25"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/bugtraq/2019/Mar/25"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20190327-0005"
    },
    {
      "type": "WEB",
      "url": "https://www.broadcom.com/support/fibre-channel-networking/security-advisories/brocade-security-advisory-2019-767"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2019/dsa-4431"
    },
    {
      "type": "WEB",
      "url": "https://www.libssh2.org/CVE-2019-3858.html"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/technetwork/security-advisory/cpuoct2019-5072832.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-03/msg00040.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-04/msg00003.html"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/152136/Slackware-Security-Advisory-libssh2-Updates.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/03/18/3"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/107485"
    }
  ],
  "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: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.