Vulnerability-Lookup

GHSA-WP3C-XW9G-GPCG

Vulnerability from github – Published: 2021-05-21 14:25 – Updated: 2024-11-01 17:04

Summary

Lack of validation in `SparseDenseCwiseMul`

Details

Impact

Due to lack of validation in tf.raw_ops.SparseDenseCwiseMul, an attacker can trigger denial of service via CHECK-fails or accesses to outside the bounds of heap allocated data:

import tensorflow as tf

indices = tf.constant([], shape=[10, 0], dtype=tf.int64)
values = tf.constant([], shape=[0], dtype=tf.int64)
shape = tf.constant([0, 0], shape=[2], dtype=tf.int64)
dense = tf.constant([], shape=[0], dtype=tf.int64)

tf.raw_ops.SparseDenseCwiseMul(
    sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense)

Since the implementation only validates the rank of the input arguments but no constraints between dimensions, an attacker can abuse them to trigger internal CHECK assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.

Patches

We have patched the issue in GitHub commit 7ae2af34087fb4b5c8915279efd03da3b81028bc.

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.

Severity

2.5 (Low)


                  
                    CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

2.0 (Low)


                  
                    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

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{
  "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-2021-29567"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T19:12:41Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nDue to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data:\n\n```python\nimport tensorflow as tf\n\nindices = tf.constant([], shape=[10, 0], dtype=tf.int64)\nvalues = tf.constant([], shape=[0], dtype=tf.int64)\nshape = tf.constant([0, 0], shape=[2], dtype=tf.int64)\ndense = tf.constant([], shape=[0], dtype=tf.int64)\n  \ntf.raw_ops.SparseDenseCwiseMul(\n    sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense)\n```\n\nSince the [implementation](https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no [constraints between dimensions](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.\n\n### Patches\nWe have patched the issue in GitHub commit [7ae2af34087fb4b5c8915279efd03da3b81028bc](https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc).\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-wp3c-xw9g-gpcg",
  "modified": "2024-11-01T17:04:25Z",
  "published": "2021-05-21T14:25:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wp3c-xw9g-gpcg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29567"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-495.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-693.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-204.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": "Lack of validation in `SparseDenseCwiseMul`"
}

GHSA-WQ4Q-4VW5-Q8J3

Vulnerability from github – Published: 2024-02-09 15:31 – Updated: 2025-11-04 21:31

Details

Improper handling of values in HuginBase::PTools::Transform::transform of Hugin 2022.0.0 leads to an assertion failure.

Severity

7.8 (High)


                  
                    CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2024-25445"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-02-09T15:15:08Z",
    "severity": "HIGH"
  },
  "details": "Improper handling of values in HuginBase::PTools::Transform::transform of Hugin 2022.0.0 leads to an assertion failure.",
  "id": "GHSA-wq4q-4vw5-q8j3",
  "modified": "2025-11-04T21:31:07Z",
  "published": "2024-02-09T15:31:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-25445"
    },
    {
      "type": "WEB",
      "url": "https://bugs.launchpad.net/hugin/+bug/2025038"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/NAV7IMHCOIMBEIW42KM2QUJ4MDQLNW3Z"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/NAV7IMHCOIMBEIW42KM2QUJ4MDQLNW3Z"
    }
  ],
  "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-WQ6Q-6M32-9RV9

Vulnerability from github – Published: 2022-09-16 22:14 – Updated: 2022-09-19 19:52

Summary

TensorFlow vulnerable to `CHECK` fail in `SetSize`

Details

Impact

When SetSize receives an input set_shape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack.

import tensorflow as tf
arg_0=1
arg_1=[1,1]
arg_2=1
arg_3=True
arg_4=''
tf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2,
                   validate_indices=arg_3, name=arg_4)

Patches

We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

Severity

5.9 (Medium)


                  
                    CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

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JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35993"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T22:14:09Z",
    "nvd_published_at": "2022-09-16T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWhen `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\narg_0=1\narg_1=[1,1]\narg_2=1\narg_3=True\narg_4=\u0027\u0027\ntf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2,\n                   validate_indices=arg_3, name=arg_4)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [cf70b79d2662c0d3c6af74583641e345fc939467](https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n\n### Attribution\nThis vulnerability has been reported by \u5218\u529b\u6e90, Information System \u0026 Security and Countermeasures Experiments Center, Beijing Institute of Technology.\n",
  "id": "GHSA-wq6q-6m32-9rv9",
  "modified": "2022-09-19T19:52:54Z",
  "published": "2022-09-16T22:14:09Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wq6q-6m32-9rv9"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35993"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow vulnerable to `CHECK` fail in `SetSize`"
}

GHSA-WQFR-WCP9-8HJX

Vulnerability from github – Published: 2026-02-13 06:30 – Updated: 2026-03-02 18:31

Details

A vulnerability has been found in Vnet/IP Interface Package provided by Yokogawa Electric Corporation. If affected product receives maliciously crafted packets, Vnet/IP software stack process may be terminated. The affected products and versions are as follows: Vnet/IP Interface Package (for CENTUM VP R6 VP6C3300, CENTUM VP R7 VP7C3300) R1.07.00 or earlier

Severity

6.5 (Medium)


                  
                    CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

6.0 (Medium)


                  
                    CVSS:4.0/AV:A/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Show details on source website

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{
  "affected": [],
  "aliases": [
    "CVE-2025-48020"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-13T05:16:09Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been found in Vnet/IP Interface Package provided by Yokogawa Electric Corporation.\nIf affected product receives maliciously crafted packets, Vnet/IP software stack process may be terminated.\nThe affected products and versions are as follows: Vnet/IP Interface Package (for CENTUM VP R6 VP6C3300, CENTUM VP R7 VP7C3300) R1.07.00 or earlier",
  "id": "GHSA-wqfr-wcp9-8hjx",
  "modified": "2026-03-02T18:31:38Z",
  "published": "2026-02-13T06:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-48020"
    },
    {
      "type": "WEB",
      "url": "https://web-material3.yokogawa.com/1/39281/files/YSAR-26-0002-E.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:A/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/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-WVFQ-MCWX-W6XM

Vulnerability from github – Published: 2026-09-08 18:31 – Updated: 2026-09-08 18:31

Details

A security issue in the MongoDB Server's storage engine integration layer allows an authenticated user with collection creation privileges to cause a persistent denial of service. Insufficient validation of user-supplied storage configuration options permits values that, once persisted to durable metadata, trigger a fatal assertion failure when the metadata is subsequently read by diagnostic operations. The corrupted metadata persists across server restarts and is replicated to other cluster members, requiring manual operator intervention to restore service.

Severity

6.5 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

7.1 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Show details on source website

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To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2026-82065"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-08T17:18:35Z",
    "severity": "HIGH"
  },
  "details": "A security issue in the MongoDB Server\u0027s storage engine integration layer allows an authenticated user with collection creation privileges to cause a persistent denial of service. Insufficient validation of user-supplied storage configuration options permits values that, once persisted to durable metadata, trigger a fatal assertion failure when the metadata is subsequently read by diagnostic operations. The corrupted metadata persists across server restarts and is replicated to other cluster members, requiring manual operator intervention to restore service.",
  "id": "GHSA-wvfq-mcwx-w6xm",
  "modified": "2026-09-08T18:31:59Z",
  "published": "2026-09-08T18:31:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82065"
    },
    {
      "type": "WEB",
      "url": "https://jira.mongodb.org/browse/SERVER-131420"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/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-WVJR-27W9-FF2R

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

Details

Knot Resolver before 5.3.2 is prone to an assertion failure, triggerable by a remote attacker in an edge case (NSEC3 with too many iterations used for a positive wildcard proof).

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{
  "affected": [],
  "aliases": [
    "CVE-2021-40083"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-08-25T01:15:00Z",
    "severity": "HIGH"
  },
  "details": "Knot Resolver before 5.3.2 is prone to an assertion failure, triggerable by a remote attacker in an edge case (NSEC3 with too many iterations used for a positive wildcard proof).",
  "id": "GHSA-wvjr-27w9-ff2r",
  "modified": "2022-05-24T19:12:14Z",
  "published": "2022-05-24T19:12:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-40083"
    },
    {
      "type": "WEB",
      "url": "https://gitlab.nic.cz/knot/knot-resolver/-/merge_requests/1169"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-WWH5-PPVV-Q4Q7

Vulnerability from github – Published: 2026-02-02 09:30 – Updated: 2026-02-03 00:30

Details

In Modem, there is a possible system crash due to improper input validation. This could lead to remote denial of service, if a UE has connected to a rogue base station controlled by the attacker, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY00827332; Issue ID: MSV-5919.

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2026-20422"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-02T09:15:57Z",
    "severity": "HIGH"
  },
  "details": "In Modem, there is a possible system crash due to improper input validation. This could lead to remote denial of service, if a UE has connected to a rogue base station controlled by the attacker, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY00827332; Issue ID: MSV-5919.",
  "id": "GHSA-wwh5-ppvv-q4q7",
  "modified": "2026-02-03T00:30:18Z",
  "published": "2026-02-02T09:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-20422"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/February-2026"
    }
  ],
  "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-WX4F-36R2-29RM

Vulnerability from github – Published: 2023-12-04 06:30 – Updated: 2023-12-07 18:30

Details

In 5G Modem, there is a possible system crash due to improper error handling. This could lead to remote denial of service when receiving malformed RRC messages, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY01130204; Issue ID: MOLY01130204 (MSV-849).

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2023-32843"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-12-04T04:15:07Z",
    "severity": "HIGH"
  },
  "details": "In 5G Modem, there is a possible system crash due to improper error handling. This could lead to remote denial of service when receiving malformed RRC messages, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY01130204; Issue ID: MOLY01130204 (MSV-849).",
  "id": "GHSA-wx4f-36r2-29rm",
  "modified": "2023-12-07T18:30:29Z",
  "published": "2023-12-04T06:30:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32843"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/December-2023"
    }
  ],
  "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-WX52-CWMQ-X76W

Vulnerability from github – Published: 2026-09-14 06:31 – Updated: 2026-09-14 06:31

Details

A vulnerability has been found in GPAC up to f1219cde. Affected by this issue is the function lsr_exec_command_list of the file laser/lsr_dec.c of the component MP4Box. The manipulation leads to reachable assertion. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Upgrading to version abi-16.23 can resolve this issue. The identifier of the patch is afca1f1181668d85941d51ed1adf647807d5d975. The affected component should be upgraded.

Severity

2.8 (Low)


                  
                    CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:L

0.9 (Low)


                  
                    CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P

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{
  "affected": [],
  "aliases": [
    "CVE-2026-90685"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-14T06:16:58Z",
    "severity": "LOW"
  },
  "details": "A vulnerability has been found in GPAC up to f1219cde. Affected by this issue is the function lsr_exec_command_list of the file laser/lsr_dec.c of the component MP4Box. The manipulation leads to reachable assertion. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Upgrading to version abi-16.23 can resolve this issue. The identifier of the patch is afca1f1181668d85941d51ed1adf647807d5d975. The affected component should be upgraded.",
  "id": "GHSA-wx52-cwmq-x76w",
  "modified": "2026-09-14T06:31:20Z",
  "published": "2026-09-14T06:31:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-90685"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac/issues/3825"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac/commit/afca1f1181668d85941d51ed1adf647807d5d975"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac/releases/tag/abi-16.23"
    },
    {
      "type": "WEB",
      "url": "https://github.com/r1ck9-2q/cve_summit/blob/main/Vuln%20GPAC%20MP4Box%20Assertion%20Failure%20assert(!codec-bs).md"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/cve/CVE-2026-90685"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/submit/914027"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/403218"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/403218/cti"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/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-WX84-5MW2-8VX6

Vulnerability from github – Published: 2022-01-14 00:02 – Updated: 2023-04-19 18:31

Details

Improper validation of function pointer type with actual function signature can lead to assertion in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Voice & Music, Snapdragon Wearables

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2021-30353"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-13T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "Improper validation of function pointer type with actual function signature can lead to assertion in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Voice \u0026 Music, Snapdragon Wearables",
  "id": "GHSA-wx84-5mw2-8vx6",
  "modified": "2023-04-19T18:31:00Z",
  "published": "2022-01-14T00:02:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-30353"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/january-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"
    }
  ]
}

CWE-617

Reachable Assertion

GHSA-WP3C-XW9G-GPCG

Impact

Patches

For more information

Attribution

GHSA-WQ4Q-4VW5-Q8J3

GHSA-WQ6Q-6M32-9RV9

Impact

Patches

For more information

Attribution

GHSA-WQFR-WCP9-8HJX

GHSA-WVFQ-MCWX-W6XM

GHSA-WVJR-27W9-FF2R

GHSA-WWH5-PPVV-Q4Q7

GHSA-WX4F-36R2-29RM

GHSA-WX52-CWMQ-X76W

GHSA-WX84-5MW2-8VX6

Mitigation

Mitigation