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.

11422 vulnerabilities reference this CWE, most recent first.

GHSA-4FG4-P75J-W5XJ

Vulnerability from github – Published: 2021-05-21 14:23 – Updated: 2024-10-31 20:42
VLAI
Summary
Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`
Details

Impact

An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.raw_ops.QuantizedBatchNormWithGlobalNormalization:

import tensorflow as tf

t = tf.constant([1], shape=[1, 1, 1, 1], dtype=tf.quint8)
t_min = tf.constant([], shape=[0], dtype=tf.float32)
t_max = tf.constant([], shape=[0], dtype=tf.float32)
m = tf.constant([1], shape=[1], dtype=tf.quint8)
m_min = tf.constant([], shape=[0], dtype=tf.float32)
m_max = tf.constant([], shape=[0], dtype=tf.float32)
v = tf.constant([1], shape=[1], dtype=tf.quint8)
v_min = tf.constant([], shape=[0], dtype=tf.float32)
v_max = tf.constant([], shape=[0], dtype=tf.float32)
beta = tf.constant([1], shape=[1], dtype=tf.quint8)
beta_min = tf.constant([], shape=[0], dtype=tf.float32)
beta_max = tf.constant([], shape=[0], dtype=tf.float32)
gamma = tf.constant([1], shape=[1], dtype=tf.quint8)
gamma_min = tf.constant([], shape=[0], dtype=tf.float32)
gamma_max = tf.constant([], shape=[0], dtype=tf.float32) 

tf.raw_ops.QuantizedBatchNormWithGlobalNormalization(
  t=t, t_min=t_min, t_max=t_max, m=m, m_min=m_min, m_max=m_max,
  v=v, v_min=v_min, v_max=v_max, beta=beta, beta_min=beta_min,
  beta_max=beta_max, gamma=gamma, gamma_min=gamma_min,
  gamma_max=gamma_max, out_type=tf.qint32,
  variance_epsilon=0.1, scale_after_normalization=True)

This is because the implementation assumes the inputs are not empty:

const float input_min = context->input(1).flat<float>()(0);
const float input_max = context->input(2).flat<float>()(0);
...
const float mean_min = context->input(4).flat<float>()(0);
const float mean_max = context->input(5).flat<float>()(0);
...
const float var_min = context->input(7).flat<float>()(0);
const float var_max = context->input(8).flat<float>()(0);
...
const float beta_min = context->input(10).flat<float>()(0);
const float beta_max = context->input(11).flat<float>()(0);
...
const float gamma_min = context->input(13).flat<float>()(0);
const float gamma_max = context->input(14).flat<float>()(0);

If any of these inputs is empty, .flat<T>() is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds.

Patches

We have patched the issue in GitHub commit d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b.

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-2021-29547"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T21:42:27Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`:\n\n```python\nimport tensorflow as tf\n\nt = tf.constant([1], shape=[1, 1, 1, 1], dtype=tf.quint8)\nt_min = tf.constant([], shape=[0], dtype=tf.float32)\nt_max = tf.constant([], shape=[0], dtype=tf.float32)\nm = tf.constant([1], shape=[1], dtype=tf.quint8)\nm_min = tf.constant([], shape=[0], dtype=tf.float32)\nm_max = tf.constant([], shape=[0], dtype=tf.float32)\nv = tf.constant([1], shape=[1], dtype=tf.quint8)\nv_min = tf.constant([], shape=[0], dtype=tf.float32)\nv_max = tf.constant([], shape=[0], dtype=tf.float32)\nbeta = tf.constant([1], shape=[1], dtype=tf.quint8)\nbeta_min = tf.constant([], shape=[0], dtype=tf.float32)\nbeta_max = tf.constant([], shape=[0], dtype=tf.float32)\ngamma = tf.constant([1], shape=[1], dtype=tf.quint8)\ngamma_min = tf.constant([], shape=[0], dtype=tf.float32)\ngamma_max = tf.constant([], shape=[0], dtype=tf.float32) \n\ntf.raw_ops.QuantizedBatchNormWithGlobalNormalization(\n  t=t, t_min=t_min, t_max=t_max, m=m, m_min=m_min, m_max=m_max,\n  v=v, v_min=v_min, v_max=v_max, beta=beta, beta_min=beta_min,\n  beta_max=beta_max, gamma=gamma, gamma_min=gamma_min,\n  gamma_max=gamma_max, out_type=tf.qint32,\n  variance_epsilon=0.1, scale_after_normalization=True)\n```                         \n                            \nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty: \n  \n```cc\nconst float input_min = context-\u003einput(1).flat\u003cfloat\u003e()(0);\nconst float input_max = context-\u003einput(2).flat\u003cfloat\u003e()(0);\n...\nconst float mean_min = context-\u003einput(4).flat\u003cfloat\u003e()(0);\nconst float mean_max = context-\u003einput(5).flat\u003cfloat\u003e()(0);\n...\nconst float var_min = context-\u003einput(7).flat\u003cfloat\u003e()(0);\nconst float var_max = context-\u003einput(8).flat\u003cfloat\u003e()(0);\n...\nconst float beta_min = context-\u003einput(10).flat\u003cfloat\u003e()(0);\nconst float beta_max = context-\u003einput(11).flat\u003cfloat\u003e()(0);\n...\nconst float gamma_min = context-\u003einput(13).flat\u003cfloat\u003e()(0);\nconst float gamma_max = context-\u003einput(14).flat\u003cfloat\u003e()(0);\n```\n\nIf any of these inputs is empty, `.flat\u003cT\u003e()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds.\n\n### Patches\nWe have patched the issue in GitHub commit [d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b](https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b).\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-4fg4-p75j-w5xj",
  "modified": "2024-10-31T20:42:12Z",
  "published": "2021-05-21T14:23:31Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4fg4-p75j-w5xj"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29547"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-475.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-673.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-184.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 out of bounds in `QuantizedBatchNormWithGlobalNormalization`"
}

GHSA-4FH7-M2WX-6WFM

Vulnerability from github – Published: 2024-12-04 21:30 – Updated: 2024-12-05 19:06
VLAI
Summary
Firepad allows insecure document access
Details

Firepad through 1.5.11 allows remote attackers, who have knowledge of a pad ID, to retrieve both the current text of a document and all content that has previously been pasted into the document. NOTE: in several similar products, this is the intentional behavior for anyone who knows the full document ID and corresponding URL. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "firepad"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.5.11"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-51210"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-200"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-12-04T22:37:05Z",
    "nvd_published_at": "2024-12-04T21:15:24Z",
    "severity": "LOW"
  },
  "details": "Firepad through 1.5.11 allows remote attackers, who have knowledge of a pad ID, to retrieve both the current text of a document and all content that has previously been pasted into the document. NOTE: in several similar products, this is the intentional behavior for anyone who knows the full document ID and corresponding URL. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.",
  "id": "GHSA-4fh7-m2wx-6wfm",
  "modified": "2024-12-05T19:06:20Z",
  "published": "2024-12-04T21:30:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-51210"
    },
    {
      "type": "WEB",
      "url": "https://firebase.blog/posts/2013/04/announcing-firepad-our-open-source"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/FirebaseExtended/firepad"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FirebaseExtended/firepad/releases/tag/v1.5.11"
    },
    {
      "type": "WEB",
      "url": "https://medium.com/@adityaahuja.work/accessing-full-history-of-firepad-users-ddc889e73936"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Firepad allows insecure document access"
}

GHSA-4FHJ-FJ9C-X6MR

Vulnerability from github – Published: 2022-05-24 16:55 – Updated: 2023-02-24 21:30
VLAI
Details

An issue was discovered in the Linux kernel before 4.20.2. An out-of-bounds access exists in the function build_audio_procunit in the file sound/usb/mixer.c.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-15927"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-09-04T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in the Linux kernel before 4.20.2. An out-of-bounds access exists in the function build_audio_procunit in the file sound/usb/mixer.c.",
  "id": "GHSA-4fhj-fj9c-x6mr",
  "modified": "2023-02-24T21:30:21Z",
  "published": "2022-05-24T16:55:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-15927"
    },
    {
      "type": "WEB",
      "url": "https://cdn.kernel.org/pub/linux/kernel/v4.x/ChangeLog-4.20.2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=f4351a199cc120ff9d59e06d02e8657d08e6cc46"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20191004-0001"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00064.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00066.html"
    }
  ],
  "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-4FHW-QJG6-GCQ8

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

There is an out of bounds read vulnerability in eSE620X vESS V100R001C10SPC200, V100R001C20SPC200, V200R001C00SPC300. A local attacker can exploit this vulnerability by sending specific message to the target device. Due to insufficient validation of internal message, successful exploit may cause the process and the service abnormal.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-22365"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-06-22T18:15:00Z",
    "severity": "LOW"
  },
  "details": "There is an out of bounds read vulnerability in eSE620X vESS V100R001C10SPC200, V100R001C20SPC200, V200R001C00SPC300. A local attacker can exploit this vulnerability by sending specific message to the target device. Due to insufficient validation of internal message, successful exploit may cause the process and the service abnormal.",
  "id": "GHSA-4fhw-qjg6-gcq8",
  "modified": "2022-05-24T19:05:51Z",
  "published": "2022-05-24T19:05:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-22365"
    },
    {
      "type": "WEB",
      "url": "https://www.huawei.com/en/psirt/security-advisories/huawei-sa-20210526-02-outbounds-en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-4FJ8-C7X8-6Q88

Vulnerability from github – Published: 2022-05-24 16:46 – Updated: 2024-04-04 00:42
VLAI
Details

In FreeImage 3.18.0, an out-of-bounds access occurs because of mishandling of the OpenJPEG j2k_read_ppm_v3 function in j2k.c. The value of l_N_ppm comes from the file read in, and the code does not consider that l_N_ppm may be greater than the size of p_header_data.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-12214"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-05-20T16:29:00Z",
    "severity": "HIGH"
  },
  "details": "In FreeImage 3.18.0, an out-of-bounds access occurs because of mishandling of the OpenJPEG j2k_read_ppm_v3 function in j2k.c. The value of l_N_ppm comes from the file read in, and the code does not consider that l_N_ppm may be greater than the size of p_header_data.",
  "id": "GHSA-4fj8-c7x8-6q88",
  "modified": "2024-04-04T00:42:44Z",
  "published": "2022-05-24T16:46:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-12214"
    },
    {
      "type": "WEB",
      "url": "https://sourceforge.net/p/freeimage/discussion/36111/thread/e06734bed5"
    }
  ],
  "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-4FMH-MF22-VCRX

Vulnerability from github – Published: 2023-08-08 12:30 – Updated: 2024-04-04 06:38
VLAI
Details

Transient DOS in Audio while remapping channel buffer in media codec decoding.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-28555"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-126"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-08T10:15:14Z",
    "severity": "HIGH"
  },
  "details": "Transient DOS in Audio while remapping channel buffer in media codec decoding.",
  "id": "GHSA-4fmh-mf22-vcrx",
  "modified": "2024-04-04T06:38:26Z",
  "published": "2023-08-08T12:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-28555"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2023-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-4FPW-J345-Q48R

Vulnerability from github – Published: 2022-05-24 19:16 – Updated: 2025-10-22 00:32
VLAI
Details

Lack of boundary checking of a buffer in set_skb_priv() of modem interface driver prior to SMR Oct-2021 Release 1 allows OOB read and it results in arbitrary code execution by dereference of invalid function pointer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-25487"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-10-06T18:15:00Z",
    "severity": "HIGH"
  },
  "details": "Lack of boundary checking of a buffer in set_skb_priv() of modem interface driver prior to SMR Oct-2021 Release 1 allows OOB read and it results in arbitrary code execution by dereference of invalid function pointer.",
  "id": "GHSA-4fpw-j345-q48r",
  "modified": "2025-10-22T00:32:25Z",
  "published": "2022-05-24T19:16:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-25487"
    },
    {
      "type": "WEB",
      "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2021\u0026month=10"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2021-25487"
    }
  ],
  "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-4FV6-38M4-QGQJ

Vulnerability from github – Published: 2022-05-24 16:53 – Updated: 2022-05-24 16:53
VLAI
Details

In DjVuLibre 3.5.27, DjVmDir.cpp in the DJVU reader component allows attackers to cause a denial-of-service (application crash in GStringRep::strdup in libdjvu/GString.cpp caused by a heap-based buffer over-read) by crafting a DJVU file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-15142"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-08-18T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In DjVuLibre 3.5.27, DjVmDir.cpp in the DJVU reader component allows attackers to cause a denial-of-service (application crash in GStringRep::strdup in libdjvu/GString.cpp caused by a heap-based buffer over-read) by crafting a DJVU file.",
  "id": "GHSA-4fv6-38m4-qgqj",
  "modified": "2022-05-24T16:53:52Z",
  "published": "2022-05-24T16:53:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-15142"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/08/msg00036.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2021/05/msg00022.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/FPMG3VY33XGMIKE6QDYIUVS6A7GNTHTK"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/JO65AWU7LEWNF6DDCZPRFTR2ZPP5XK6L"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/M7F7544WASYMOTFDR2WUEOQLN3ZEXNU4"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/QUEME45HVGTMDOYODAZYQOGWSZ2CEFWZ"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/RYZTGKWY3NAKMIMTFYGN4ZO5XEQWPYRL"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202007-36"
    },
    {
      "type": "WEB",
      "url": "https://sourceforge.net/p/djvu/bugs/296"
    },
    {
      "type": "WEB",
      "url": "https://sourceforge.net/p/djvu/djvulibre-git/ci/970fb11a296b5bbdc5e8425851253d2c5913c45e"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/4198-1"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2021/dsa-5032"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00086.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00087.html"
    }
  ],
  "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:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4FWX-FWRR-567M

Vulnerability from github – Published: 2023-10-30 18:30 – Updated: 2023-11-04 03:30
VLAI
Details

In NFC, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-21357"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-10-30T17:15:51Z",
    "severity": "MODERATE"
  },
  "details": "In NFC, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.",
  "id": "GHSA-4fwx-fwrr-567m",
  "modified": "2023-11-04T03:30:19Z",
  "published": "2023-10-30T18:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-21357"
    },
    {
      "type": "WEB",
      "url": "https://source.android.com/docs/security/bulletin/android-14"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4FXH-5H9V-CW8Q

Vulnerability from github – Published: 2025-01-21 21:30 – Updated: 2025-01-21 21:30
VLAI
Details

Vulnerability in the PeopleSoft Enterprise PeopleTools product of Oracle PeopleSoft (component: Panel Processor). Supported versions that are affected are 8.60 and 8.61. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise PeopleTools. Successful attacks of this vulnerability can result in unauthorized read access to a subset of PeopleSoft Enterprise PeopleTools accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-21530"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-21T21:15:18Z",
    "severity": "MODERATE"
  },
  "details": "Vulnerability in the PeopleSoft Enterprise PeopleTools product of Oracle PeopleSoft (component: Panel Processor).  Supported versions that are affected are 8.60 and  8.61. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise PeopleTools.  Successful attacks of this vulnerability can result in  unauthorized read access to a subset of PeopleSoft Enterprise PeopleTools accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts).  CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).",
  "id": "GHSA-4fxh-5h9v-cw8q",
  "modified": "2025-01-21T21:30:55Z",
  "published": "2025-01-21T21:30:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-21530"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpujan2025.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "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.