Common Weakness Enumeration

CWE-617

Allowed

Reachable Assertion

Abstraction: Base · Status: Draft

The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

989 vulnerabilities reference this CWE, most recent first.

GHSA-CPM7-PGMM-3MFR

Vulnerability from github – Published: 2022-05-24 22:28 – Updated: 2022-05-24 22:28
VLAI
Details

A flaw was found in OpenLDAP. This flaw allows an attacker who can send a malicious packet to be processed by OpenLDAP’s slapd server, to trigger an assertion failure. The highest threat from this vulnerability is to system availability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-25709"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-05-18T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "A flaw was found in OpenLDAP. This flaw allows an attacker who can send a malicious packet to be processed by OpenLDAP\u2019s slapd server, to trigger an assertion failure. The highest threat from this vulnerability is to system availability.",
  "id": "GHSA-cpm7-pgmm-3mfr",
  "modified": "2022-05-24T22:28:33Z",
  "published": "2022-05-24T22:28:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-25709"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1899675"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/r58af02e294bd07f487e2c64ffc0a29b837db5600e33b6e698b9d696b@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/rf4c02775860db415b4955778a131c2795223f61cb8c6a450893651e4@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2020/12/msg00008.html"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT212147"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2020/dsa-4792"
    },
    {
      "type": "WEB",
      "url": "http://seclists.org/fulldisclosure/2021/Feb/14"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-CPMQ-CRVM-2W5P

Vulnerability from github – Published: 2023-04-03 18:32 – Updated: 2023-04-11 09:30
VLAI
Details

A reachable assertion was found in Frrouting frr-bgpd 8.3.0 in the peek_for_as4_capability function. Attackers can maliciously construct BGP open packets and send them to BGP peers running frr-bgpd, resulting in DoS.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-36440"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-04-03T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "A reachable assertion was found in Frrouting frr-bgpd 8.3.0 in the peek_for_as4_capability function. Attackers can maliciously construct BGP open packets and send them to BGP peers running frr-bgpd, resulting in DoS.",
  "id": "GHSA-cpmq-crvm-2w5p",
  "modified": "2023-04-11T09:30:24Z",
  "published": "2023-04-03T18:32:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36440"
    },
    {
      "type": "WEB",
      "url": "https://github.com/spwpun/pocs"
    },
    {
      "type": "WEB",
      "url": "https://github.com/spwpun/pocs/blob/main/frr-bgpd.md"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2023/09/msg00020.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/3HU4PKLUVB5CTMOVQ2GV33TNUNMJCBGD"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/BBXEXL2ZQBWCBLNUP6P67FHECXQWSK3L"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/GM66PNHGCXZU66LQCTP2FSJLFF6CVMSI"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/3HU4PKLUVB5CTMOVQ2GV33TNUNMJCBGD"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/BBXEXL2ZQBWCBLNUP6P67FHECXQWSK3L"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GM66PNHGCXZU66LQCTP2FSJLFF6CVMSI"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2023/dsa-5495"
    }
  ],
  "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-CR8G-Q77H-P4GP

Vulnerability from github – Published: 2025-01-22 00:33 – Updated: 2025-01-23 21:31
VLAI
Details

A reachable assertion in the amf_ue_set_suci function of Open5GS <= 2.6.4 allows attackers to cause a Denial of Service (DoS) via a crafted NAS packet.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-24427"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-21T23:15:12Z",
    "severity": "HIGH"
  },
  "details": "A reachable assertion in the amf_ue_set_suci function of Open5GS \u003c= 2.6.4 allows attackers to cause a Denial of Service (DoS) via a crafted NAS packet.",
  "id": "GHSA-cr8g-q77h-p4gp",
  "modified": "2025-01-23T21:31:51Z",
  "published": "2025-01-22T00:33:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-24427"
    },
    {
      "type": "WEB",
      "url": "https://cellularsecurity.org/ransacked"
    }
  ],
  "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-CRH9-PPWM-J9XC

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

In Wireshark 2.4.0 to 2.4.13, 2.6.0 to 2.6.7, and 3.0.0, the GSS-API dissector could crash. This was addressed in epan/dissectors/packet-gssapi.c by ensuring that a valid dissector is called.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-10894"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-04-09T04:29:00Z",
    "severity": "HIGH"
  },
  "details": "In Wireshark 2.4.0 to 2.4.13, 2.6.0 to 2.6.7, and 3.0.0, the GSS-API dissector could crash. This was addressed in epan/dissectors/packet-gssapi.c by ensuring that a valid dissector is called.",
  "id": "GHSA-crh9-ppwm-j9xc",
  "modified": "2022-05-13T01:13:50Z",
  "published": "2022-05-13T01:13:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10894"
    },
    {
      "type": "WEB",
      "url": "https://bugs.wireshark.org/bugzilla/show_bug.cgi?id=15613"
    },
    {
      "type": "WEB",
      "url": "https://code.wireshark.org/review/gitweb?p=wireshark.git;a=commit;h=b20e5d8aae2580e29c83ddaf0b6b2e640603e4aa"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00034.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2020/10/msg00036.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4LYIOOQIMFQ3PA7AFBK4DNXHISTEYUC5"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/PU3QA2DUO3XS24QE24CQRP4A4XQQY76R"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/3986-1"
    },
    {
      "type": "WEB",
      "url": "https://www.wireshark.org/security/wnpa-sec-2019-14.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-05/msg00022.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2019-05/msg00027.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-03/msg00027.html"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/107834"
    }
  ],
  "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-CV2P-32V3-VHWQ

Vulnerability from github – Published: 2022-09-16 21:39 – Updated: 2022-09-19 19:09
VLAI
Summary
TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
Details

Impact

When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.

import tensorflow as tf
arg_0=tf.random.uniform(shape=(4,), dtype=tf.int32, maxval=65536)
arg_1=tf.random.uniform(shape=(4, 4, 4, 4, 4), dtype=tf.float32, maxval=None)
arg_2=0
arg_3=0
arg_4=tf.int32
arg_5=None
tf.raw_ops.RandomPoissonV2(shape=arg_0, rate=arg_1, seed=arg_2,
                           seed2=arg_3, dtype=arg_4, name=arg_5)

Patches

We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3.

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.

Show details on source website

{
  "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-2022-36003"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T21:39:10Z",
    "nvd_published_at": "2022-09-16T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWhen `RandomPoissonV2` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack.\n```python\nimport tensorflow as tf\narg_0=tf.random.uniform(shape=(4,), dtype=tf.int32, maxval=65536)\narg_1=tf.random.uniform(shape=(4, 4, 4, 4, 4), dtype=tf.float32, maxval=None)\narg_2=0\narg_3=0\narg_4=tf.int32\narg_5=None\ntf.raw_ops.RandomPoissonV2(shape=arg_0, rate=arg_1, seed=arg_2,\n                           seed2=arg_3, dtype=arg_4, name=arg_5)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [552bfced6ce4809db5f3ca305f60ff80dd40c5a3](https://github.com/tensorflow/tensorflow/commit/552bfced6ce4809db5f3ca305f60ff80dd40c5a3).\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-cv2p-32v3-vhwq",
  "modified": "2022-09-19T19:09:56Z",
  "published": "2022-09-16T21:39:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cv2p-32v3-vhwq"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36003"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/552bfced6ce4809db5f3ca305f60ff80dd40c5a3"
    },
    {
      "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 `RandomPoissonV2`"
}

GHSA-CVR3-87PR-9XFF

Vulnerability from github – Published: 2023-12-04 06:30 – Updated: 2023-12-07 18:30
VLAI
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: MOLY01128524; Issue ID: MOLY01139296 (MSV-860).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-32845"
  ],
  "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: MOLY01128524; Issue ID: MOLY01139296 (MSV-860).",
  "id": "GHSA-cvr3-87pr-9xff",
  "modified": "2023-12-07T18:30:29Z",
  "published": "2023-12-04T06:30:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32845"
    },
    {
      "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-CWGJ-88JC-P385

Vulnerability from github – Published: 2025-01-22 15:32 – Updated: 2025-01-28 21:31
VLAI
Details

Open5GS MME versions <= 2.6.4 contain an assertion that can be remotely triggered via a malformed ASN.1 packet over the S1AP interface. An attacker may send an E-RAB Modification Indication message missing a required MME_UE_S1AP_ID field to repeatedly crash the MME, resulting in denial of service.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-37002"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-22T15:15:09Z",
    "severity": "MODERATE"
  },
  "details": "Open5GS MME versions \u003c= 2.6.4 contain an assertion that can be remotely triggered via a malformed ASN.1 packet over the S1AP interface. An attacker may send an `E-RAB Modification Indication` message missing a required `MME_UE_S1AP_ID` field to repeatedly crash the MME, resulting in denial of service.",
  "id": "GHSA-cwgj-88jc-p385",
  "modified": "2025-01-28T21:31:01Z",
  "published": "2025-01-22T15:32:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-37002"
    },
    {
      "type": "WEB",
      "url": "https://cellularsecurity.org/ransacked"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-F2VV-V9CG-QHH7

Vulnerability from github – Published: 2022-02-09 23:43 – Updated: 2024-11-13 22:32
VLAI
Summary
Assertion failure based denial of service in Tensorflow
Details

Impact

The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail:

import tensorflow as tf

tf.raw_ops.DenseBincount(
  input=[[0], [1], [2]],
  size=[1],
  weights=[3,2,1],
  binary_output=False)

There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated.

Patches

We have patched the issue in GitHub commit 7019ce4f68925fd01cdafde26f8d8c938f47e6f9.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-21737"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617",
      "CWE-754"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-02-03T19:59:49Z",
    "nvd_published_at": "2022-02-03T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact \nThe [implementation of `*Bincount` operations](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc) allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.DenseBincount(\n  input=[[0], [1], [2]],\n  size=[1],\n  weights=[3,2,1],\n  binary_output=False)\n```\n\nThere are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated.\n\n### Patches\nWe have patched the issue in GitHub commit [7019ce4f68925fd01cdafde26f8d8c938f47e6f9](https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9).\n\nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.",
  "id": "GHSA-f2vv-v9cg-qhh7",
  "modified": "2024-11-13T22:32:39Z",
  "published": "2022-02-09T23:43:48Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21737"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc"
    }
  ],
  "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",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Assertion failure based denial of service in Tensorflow"
}

GHSA-F344-CFPJ-CVMX

Vulnerability from github – Published: 2025-01-19 12:31 – Updated: 2026-07-14 15:31
VLAI
Details

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

fs: relax assertions on failure to encode file handles

Encoding file handles is usually performed by a filesystem >encode_fh() method that may fail for various reasons.

The legacy users of exportfs_encode_fh(), namely, nfsd and name_to_handle_at(2) syscall are ready to cope with the possibility of failure to encode a file handle.

There are a few other users of exportfs_encode_{fh,fid}() that currently have a WARN_ON() assertion when ->encode_fh() fails. Relax those assertions because they are wrong.

The second linked bug report states commit 16aac5ad1fa9 ("ovl: support encoding non-decodable file handles") in v6.6 as the regressing commit, but this is not accurate.

The aforementioned commit only increases the chances of the assertion and allows triggering the assertion with the reproducer using overlayfs, inotify and drop_caches.

Triggering this assertion was always possible with other filesystems and other reasons of ->encode_fh() failures and more particularly, it was also possible with the exact same reproducer using overlayfs that is mounted with options index=on,nfs_export=on also on kernels < v6.6. Therefore, I am not listing the aforementioned commit as a Fixes commit.

Backport hint: this patch will have a trivial conflict applying to v6.6.y, and other trivial conflicts applying to stable kernels < v6.6.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-57924"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-19T12:15:26Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfs: relax assertions on failure to encode file handles\n\nEncoding file handles is usually performed by a filesystem \u003eencode_fh()\nmethod that may fail for various reasons.\n\nThe legacy users of exportfs_encode_fh(), namely, nfsd and\nname_to_handle_at(2) syscall are ready to cope with the possibility\nof failure to encode a file handle.\n\nThere are a few other users of exportfs_encode_{fh,fid}() that\ncurrently have a WARN_ON() assertion when -\u003eencode_fh() fails.\nRelax those assertions because they are wrong.\n\nThe second linked bug report states commit 16aac5ad1fa9 (\"ovl: support\nencoding non-decodable file handles\") in v6.6 as the regressing commit,\nbut this is not accurate.\n\nThe aforementioned commit only increases the chances of the assertion\nand allows triggering the assertion with the reproducer using overlayfs,\ninotify and drop_caches.\n\nTriggering this assertion was always possible with other filesystems and\nother reasons of -\u003eencode_fh() failures and more particularly, it was\nalso possible with the exact same reproducer using overlayfs that is\nmounted with options index=on,nfs_export=on also on kernels \u003c v6.6.\nTherefore, I am not listing the aforementioned commit as a Fixes commit.\n\nBackport hint: this patch will have a trivial conflict applying to\nv6.6.y, and other trivial conflicts applying to stable kernels \u003c v6.6.",
  "id": "GHSA-f344-cfpj-cvmx",
  "modified": "2026-07-14T15:31:16Z",
  "published": "2025-01-19T12:31:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-57924"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-019113.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-032379.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-082556.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/73697928c806fe4689939722184a86fc1c1957b4"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/974e3fe0ac61de85015bbe5a4990cf4127b304b2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/adcde2872f8fc399b249758ae1990dcd53b694ea"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f47c834a9131ae64bee3c462f4e610c67b0a000f"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00008.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-F395-X2GF-VH84

Vulnerability from github – Published: 2026-05-01 15:30 – Updated: 2026-05-03 09:33
VLAI
Details

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

crypto: tegra - Add missing CRYPTO_ALG_ASYNC

The tegra crypto driver failed to set the CRYPTO_ALG_ASYNC on its asynchronous algorithms, causing the crypto API to select them for users that request only synchronous algorithms. This causes crashes (at least). Fix this by adding the flag like what the other drivers do. Also remove the unnecessary CRYPTO_ALG_TYPE_* flags, since those just get ignored and overridden by the registration function anyway.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-31739"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-01T15:16:36Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: tegra - Add missing CRYPTO_ALG_ASYNC\n\nThe tegra crypto driver failed to set the CRYPTO_ALG_ASYNC on its\nasynchronous algorithms, causing the crypto API to select them for users\nthat request only synchronous algorithms.  This causes crashes (at\nleast).  Fix this by adding the flag like what the other drivers do.\nAlso remove the unnecessary CRYPTO_ALG_TYPE_* flags, since those just\nget ignored and overridden by the registration function anyway.",
  "id": "GHSA-f395-x2gf-vh84",
  "modified": "2026-05-03T09:33:10Z",
  "published": "2026-05-01T15:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31739"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3aea268b6d5cde3b087df9eeecc3bc620aa09513"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/429d05565eb19ee545d8a8395991372adbe4daf3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4b56770d345524fc2acc143a2b85539cf7d74bc1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bdbf027a4504b4a86740de6beb6d18a957331839"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

Mitigation
Implementation

Make sensitive open/close operation non reachable by directly user-controlled data (e.g. open/close resources)

Mitigation
Implementation

Strategy: Input Validation

Perform input validation on user data.

No CAPEC attack patterns related to this CWE.