Common Weakness Enumeration

CWE-617

Allowed

Reachable Assertion

Abstraction: Base · Status: Draft

API response cwe.mitre.org

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-MGMH-G2V6-MQW5

Vulnerability from github – Published: 2022-09-16 21:18 – Updated: 2022-09-19 19:55
VLAI
Summary
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Details

Impact

The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.

import tensorflow as tf
import numpy as np

value = np.ones([1, 1, 1, 1])
ksize = [1, 1e20, 1, 1]
strides = [1, 1, 1, 1]
padding = 'SAME'
data_format = 'NHWC'

tf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)

Patches

We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f.

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 Jingyi Shi.

Severity
5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Show details on source website
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{
  "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"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c 2.9.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.2"
            }
          ],
          "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"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c 2.9.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.2"
            }
          ],
          "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"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c 2.9.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35941"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T21:18:42Z",
    "nvd_published_at": "2022-09-16T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nThe [`AvgPoolOp`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98) function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program.\n```python\nimport tensorflow as tf\nimport numpy as np\n\nvalue = np.ones([1, 1, 1, 1])\nksize = [1, 1e20, 1, 1]\nstrides = [1, 1, 1, 1]\npadding = \u0027SAME\u0027\ndata_format = \u0027NHWC\u0027\n\ntf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [3a6ac52664c6c095aa2b114e742b0aa17fdce78f](https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f).\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 Jingyi Shi.\n",
  "id": "GHSA-mgmh-g2v6-mqw5",
  "modified": "2022-09-19T19:55:57Z",
  "published": "2022-09-16T21:18:42Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mgmh-g2v6-mqw5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35941"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98"
    },
    {
      "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` failure in `AvgPoolOp`"
}

GHSA-MGWW-WPG8-7GMJ

Vulnerability from github – Published: 2024-12-02 06:31 – Updated: 2024-12-02 18:31
VLAI
Details

In Bluetooth firmware, there is a possible firmware asssert due to improper handling of exceptional conditions. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09001270; Issue ID: MSV-1600.

Severity
6.5 (Medium)
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2024-20139"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-12-02T04:15:06Z",
    "severity": "MODERATE"
  },
  "details": "In Bluetooth firmware, there is a possible firmware asssert due to improper handling of exceptional conditions. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09001270; Issue ID: MSV-1600.",
  "id": "GHSA-mgww-wpg8-7gmj",
  "modified": "2024-12-02T18:31:55Z",
  "published": "2024-12-02T06:31:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-20139"
    },
    {
      "type": "WEB",
      "url": "https://corp.mediatek.com/product-security-bulletin/December-2024"
    }
  ],
  "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"
    }
  ]
}

GHSA-MH3M-62V7-68XG

Vulnerability from github – Published: 2022-09-16 22:06 – Updated: 2022-09-19 19:07
VLAI
Summary
TensorFlow vulnerable to `CHECK` fail in `Unbatch`
Details

Impact

When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack.

import tensorflow as tf
import numpy as np
arg_0=tf.constant(value=np.random.random(size=(3, 3, 1)), dtype=tf.float64)
arg_1=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64)
arg_2=tf.constant(value=np.random.randint(0,100,size=(3, 3,  1)), dtype=tf.int64)
arg_3=47
arg_4=''
arg_5=''
tf.raw_ops.Unbatch(batched_tensor=arg_0, batch_index=arg_1, id=arg_2, 
                   timeout_micros=arg_3, container=arg_4, shared_name=arg_5)

Patches

We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f.

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
Show details on source website
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-2022-36002"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T22:06:35Z",
    "nvd_published_at": "2022-09-16T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWhen `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack.\n```python\nimport tensorflow as tf\nimport numpy as np\narg_0=tf.constant(value=np.random.random(size=(3, 3, 1)), dtype=tf.float64)\narg_1=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64)\narg_2=tf.constant(value=np.random.randint(0,100,size=(3, 3,  1)), dtype=tf.int64)\narg_3=47\narg_4=\u0027\u0027\narg_5=\u0027\u0027\ntf.raw_ops.Unbatch(batched_tensor=arg_0, batch_index=arg_1, id=arg_2, \n                   timeout_micros=arg_3, container=arg_4, shared_name=arg_5)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [4419d10d576adefa36b0e0a9425d2569f7c0189f](https://github.com/tensorflow/tensorflow/commit/4419d10d576adefa36b0e0a9425d2569f7c0189f).\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-mh3m-62v7-68xg",
  "modified": "2022-09-19T19:07:30Z",
  "published": "2022-09-16T22:06:35Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mh3m-62v7-68xg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36002"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/4419d10d576adefa36b0e0a9425d2569f7c0189f"
    },
    {
      "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 `Unbatch`"
}

GHSA-MH8Q-537V-96GJ

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

There is a reachable assertion abort in the function sox_append_comment() in formats.c in Sound eXchange (SoX) 14.4.2. A Crafted input will lead to a denial of service attack during conversion of an audio file.

Severity
5.5 (Medium)
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2017-15371"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-10-16T04:29:00Z",
    "severity": "MODERATE"
  },
  "details": "There is a reachable assertion abort in the function sox_append_comment() in formats.c in Sound eXchange (SoX) 14.4.2. A Crafted input will lead to a denial of service attack during conversion of an audio file.",
  "id": "GHSA-mh8q-537v-96gj",
  "modified": "2022-05-13T01:09:09Z",
  "published": "2022-05-13T01:09:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-15371"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1500570"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2017/11/msg00043.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/03/msg00007.html"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201810-02"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-MHV6-JM4C-7HQP

Vulnerability from github – Published: 2022-01-21 00:00 – Updated: 2022-01-27 00:02
VLAI
Details

There is an Assertion 'type == ECMA_OBJECT_TYPE_GENERAL || type == ECMA_OBJECT_TYPE_PROXY' failed at /jerry-core/ecma/operations/ecma-objects.c in JerryScript 3.0.0.

Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2021-46349"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-20T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "There is an Assertion \u0027type == ECMA_OBJECT_TYPE_GENERAL || type == ECMA_OBJECT_TYPE_PROXY\u0027 failed at /jerry-core/ecma/operations/ecma-objects.c in JerryScript 3.0.0.",
  "id": "GHSA-mhv6-jm4c-7hqp",
  "modified": "2022-01-27T00:02:21Z",
  "published": "2022-01-21T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46349"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jerryscript-project/jerryscript/issues/4937"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-MJ42-QMQQ-F53F

Vulnerability from github – Published: 2025-10-04 18:31 – Updated: 2026-02-05 18:30
VLAI
Details

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

ALSA: ymfpci: Fix BUG_ON in probe function

The snd_dma_buffer.bytes field now contains the aligned size, which this snd_BUG_ON() did not account for, resulting in the following:

[ 9.625915] ------------[ cut here ]------------ [ 9.633440] WARNING: CPU: 0 PID: 126 at sound/pci/ymfpci/ymfpci_main.c:2168 snd_ymfpci_create+0x681/0x698 [snd_ymfpci] [ 9.648926] Modules linked in: snd_ymfpci(+) snd_intel_dspcfg kvm(+) snd_intel_sdw_acpi snd_ac97_codec snd_mpu401_uart snd_opl3_lib irqbypass snd_hda_codec gameport snd_rawmidi crct10dif_pclmul crc32_pclmul cfg80211 snd_hda_core polyval_clmulni polyval_generic gf128mul snd_seq_device ghash_clmulni_intel snd_hwdep ac97_bus sha512_ssse3 rfkill snd_pcm aesni_intel tg3 snd_timer crypto_simd snd mxm_wmi libphy cryptd k10temp fam15h_power pcspkr soundcore sp5100_tco wmi acpi_cpufreq mac_hid dm_multipath sg loop fuse dm_mod bpf_preload ip_tables x_tables ext4 crc32c_generic crc16 mbcache jbd2 sr_mod cdrom ata_generic pata_acpi firewire_ohci crc32c_intel firewire_core xhci_pci crc_itu_t pata_via xhci_pci_renesas floppy [ 9.711849] CPU: 0 PID: 126 Comm: kworker/0:2 Not tainted 6.1.21-1-lts #1 08d2e5ece03136efa7c6aeea9a9c40916b1bd8da [ 9.722200] Hardware name: To Be Filled By O.E.M. To Be Filled By O.E.M./990FX Extreme4, BIOS P2.70 06/05/2014 [ 9.732204] Workqueue: events work_for_cpu_fn [ 9.736580] RIP: 0010:snd_ymfpci_create+0x681/0x698 [snd_ymfpci] [ 9.742594] Code: 8c c0 4c 89 e2 48 89 df 48 c7 c6 92 c6 8c c0 e8 15 d0 e9 ff 48 83 c4 08 44 89 e8 5b 5d 41 5c 41 5d 41 5e 41 5f e9 d3 7a 33 e3 <0f> 0b e9 cb fd ff ff 41 bd fb ff ff ff eb db 41 bd f4 ff ff ff eb [ 9.761358] RSP: 0018:ffffab64804e7da0 EFLAGS: 00010287 [ 9.766594] RAX: ffff8fa2df06c400 RBX: ffff8fa3073a8000 RCX: ffff8fa303fbc4a8 [ 9.773734] RDX: ffff8fa2df06d000 RSI: 0000000000000010 RDI: 0000000000000020 [ 9.780876] RBP: ffff8fa300b5d0d0 R08: ffff8fa3073a8e50 R09: 00000000df06bf00 [ 9.788018] R10: ffff8fa2df06bf00 R11: 00000000df068200 R12: ffff8fa3073a8918 [ 9.795159] R13: 0000000000000000 R14: 0000000000000080 R15: ffff8fa2df068200 [ 9.802317] FS: 0000000000000000(0000) GS:ffff8fa9fec00000(0000) knlGS:0000000000000000 [ 9.810414] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 9.816158] CR2: 000055febaf66500 CR3: 0000000101a2e000 CR4: 00000000000406f0 [ 9.823301] Call Trace: [ 9.825747] [ 9.827889] snd_card_ymfpci_probe+0x194/0x950 [snd_ymfpci b78a5fe64b5663a6390a909c67808567e3e73615] [ 9.837030] ? finish_task_switch.isra.0+0x90/0x2d0 [ 9.841918] local_pci_probe+0x45/0x80 [ 9.845680] work_for_cpu_fn+0x1a/0x30 [ 9.849431] process_one_work+0x1c7/0x380 [ 9.853464] worker_thread+0x1af/0x390 [ 9.857225] ? rescuer_thread+0x3b0/0x3b0 [ 9.861254] kthread+0xde/0x110 [ 9.864414] ? kthread_complete_and_exit+0x20/0x20 [ 9.869210] ret_from_fork+0x22/0x30 [ 9.872792] [ 9.874985] ---[ end trace 0000000000000000 ]---

Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2023-53607"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-04T16:15:57Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nALSA: ymfpci: Fix BUG_ON in probe function\n\nThe snd_dma_buffer.bytes field now contains the aligned size, which this\nsnd_BUG_ON() did not account for, resulting in the following:\n\n[    9.625915] ------------[ cut here ]------------\n[    9.633440] WARNING: CPU: 0 PID: 126 at sound/pci/ymfpci/ymfpci_main.c:2168 snd_ymfpci_create+0x681/0x698 [snd_ymfpci]\n[    9.648926] Modules linked in: snd_ymfpci(+) snd_intel_dspcfg kvm(+) snd_intel_sdw_acpi snd_ac97_codec snd_mpu401_uart snd_opl3_lib irqbypass snd_hda_codec gameport snd_rawmidi crct10dif_pclmul crc32_pclmul cfg80211 snd_hda_core polyval_clmulni polyval_generic gf128mul snd_seq_device ghash_clmulni_intel snd_hwdep ac97_bus sha512_ssse3 rfkill snd_pcm aesni_intel tg3 snd_timer crypto_simd snd mxm_wmi libphy cryptd k10temp fam15h_power pcspkr soundcore sp5100_tco wmi acpi_cpufreq mac_hid dm_multipath sg loop fuse dm_mod bpf_preload ip_tables x_tables ext4 crc32c_generic crc16 mbcache jbd2 sr_mod cdrom ata_generic pata_acpi firewire_ohci crc32c_intel firewire_core xhci_pci crc_itu_t pata_via xhci_pci_renesas floppy\n[    9.711849] CPU: 0 PID: 126 Comm: kworker/0:2 Not tainted 6.1.21-1-lts #1 08d2e5ece03136efa7c6aeea9a9c40916b1bd8da\n[    9.722200] Hardware name: To Be Filled By O.E.M. To Be Filled By O.E.M./990FX Extreme4, BIOS P2.70 06/05/2014\n[    9.732204] Workqueue: events work_for_cpu_fn\n[    9.736580] RIP: 0010:snd_ymfpci_create+0x681/0x698 [snd_ymfpci]\n[    9.742594] Code: 8c c0 4c 89 e2 48 89 df 48 c7 c6 92 c6 8c c0 e8 15 d0 e9 ff 48 83 c4 08 44 89 e8 5b 5d 41 5c 41 5d 41 5e 41 5f e9 d3 7a 33 e3 \u003c0f\u003e 0b e9 cb fd ff ff 41 bd fb ff ff ff eb db 41 bd f4 ff ff ff eb\n[    9.761358] RSP: 0018:ffffab64804e7da0 EFLAGS: 00010287\n[    9.766594] RAX: ffff8fa2df06c400 RBX: ffff8fa3073a8000 RCX: ffff8fa303fbc4a8\n[    9.773734] RDX: ffff8fa2df06d000 RSI: 0000000000000010 RDI: 0000000000000020\n[    9.780876] RBP: ffff8fa300b5d0d0 R08: ffff8fa3073a8e50 R09: 00000000df06bf00\n[    9.788018] R10: ffff8fa2df06bf00 R11: 00000000df068200 R12: ffff8fa3073a8918\n[    9.795159] R13: 0000000000000000 R14: 0000000000000080 R15: ffff8fa2df068200\n[    9.802317] FS:  0000000000000000(0000) GS:ffff8fa9fec00000(0000) knlGS:0000000000000000\n[    9.810414] CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033\n[    9.816158] CR2: 000055febaf66500 CR3: 0000000101a2e000 CR4: 00000000000406f0\n[    9.823301] Call Trace:\n[    9.825747]  \u003cTASK\u003e\n[    9.827889]  snd_card_ymfpci_probe+0x194/0x950 [snd_ymfpci b78a5fe64b5663a6390a909c67808567e3e73615]\n[    9.837030]  ? finish_task_switch.isra.0+0x90/0x2d0\n[    9.841918]  local_pci_probe+0x45/0x80\n[    9.845680]  work_for_cpu_fn+0x1a/0x30\n[    9.849431]  process_one_work+0x1c7/0x380\n[    9.853464]  worker_thread+0x1af/0x390\n[    9.857225]  ? rescuer_thread+0x3b0/0x3b0\n[    9.861254]  kthread+0xde/0x110\n[    9.864414]  ? kthread_complete_and_exit+0x20/0x20\n[    9.869210]  ret_from_fork+0x22/0x30\n[    9.872792]  \u003c/TASK\u003e\n[    9.874985] ---[ end trace 0000000000000000 ]---",
  "id": "GHSA-mj42-qmqq-f53f",
  "modified": "2026-02-05T18:30:28Z",
  "published": "2025-10-04T18:31:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53607"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/32b9bd7cfc2e2d92d595386add4e111b232b351f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6be2e7522eb529b41c16d459f33bbdbcddbf5c15"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/81d2a7e93c8322ca6b858f6736d7fc3d034e6c23"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/96e34c88000febc83e41aa7db0b0a41676314818"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d0217b09910c081b6471181345ea5b24025edf51"
    }
  ],
  "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-MJ6M-V94Q-RH38

Vulnerability from github – Published: 2022-05-13 01:48 – Updated: 2022-05-13 01:48
VLAI
Details

In ImageMagick 7.0.5-8 Q16, an assertion failure was found in the function ResetImageProfileIterator, which allows attackers to cause a denial of service via a crafted file.

Severity
6.5 (Medium)
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2017-9500"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-06-07T14:29:00Z",
    "severity": "MODERATE"
  },
  "details": "In ImageMagick 7.0.5-8 Q16, an assertion failure was found in the function ResetImageProfileIterator, which allows attackers to cause a denial of service via a crafted file.",
  "id": "GHSA-mj6m-v94q-rh38",
  "modified": "2022-05-13T01:48:00Z",
  "published": "2022-05-13T01:48:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9500"
    },
    {
      "type": "WEB",
      "url": "https://github.com/ImageMagick/ImageMagick/issues/500"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00015.html"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2017/dsa-4019"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/98941"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-MMMQ-7JWV-J64J

Vulnerability from github – Published: 2022-03-23 00:00 – Updated: 2022-03-29 00:01
VLAI
Details

When the vulnerability is triggered the BIND process will exit. BIND 9.18.0

Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2022-0667"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-22T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "When the vulnerability is triggered the BIND process will exit. BIND 9.18.0",
  "id": "GHSA-mmmq-7jwv-j64j",
  "modified": "2022-03-29T00:01:23Z",
  "published": "2022-03-23T00:00:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0667"
    },
    {
      "type": "WEB",
      "url": "https://kb.isc.org/v1/docs/cve-2022-0667"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20220408-0001"
    }
  ],
  "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-MP2J-QW8V-W56R

Vulnerability from github – Published: 2024-07-29 15:30 – Updated: 2025-09-25 21:30
VLAI
Details

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

netfilter: nfnetlink_queue: drop bogus WARN_ON

Happens when rules get flushed/deleted while packet is out, so remove this WARN_ON.

This WARN exists in one form or another since v4.14, no need to backport this to older releases, hence use a more recent fixes tag.

Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2024-41043"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-29T15:15:12Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnetfilter: nfnetlink_queue: drop bogus WARN_ON\n\nHappens when rules get flushed/deleted while packet is out, so remove\nthis WARN_ON.\n\nThis WARN exists in one form or another since v4.14, no need to backport\nthis to older releases, hence use a more recent fixes tag.",
  "id": "GHSA-mp2j-qw8v-w56r",
  "modified": "2025-09-25T21:30:19Z",
  "published": "2024-07-29T15:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-41043"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/631a4b3ddc7831b20442c59c28b0476d0704c9af"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/86858da8335db48bde9be02abd7156a69d622e86"
    }
  ],
  "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-MQ3V-8HV9-5P6G

Vulnerability from github – Published: 2022-05-24 17:44 – Updated: 2022-05-24 17:44
VLAI
Details

Denial of service in baseband when NW configures LTE betaOffset-RI-Index due to lack of data validation in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile

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{
  "affected": [],
  "aliases": [
    "CVE-2020-11218"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-03-17T06:15:00Z",
    "severity": "HIGH"
  },
  "details": "Denial of service in baseband when NW configures LTE betaOffset-RI-Index due to lack of data validation in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile",
  "id": "GHSA-mq3v-8hv9-5p6g",
  "modified": "2022-05-24T17:44:40Z",
  "published": "2022-05-24T17:44:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-11218"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/march-2021-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}
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.

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