Common Weakness Enumeration

CWE-369

Allowed

Divide By Zero

Abstraction: Base · Status: Draft

The product divides a value by zero.

627 vulnerabilities reference this CWE, most recent first.

GHSA-4HR6-49G3-G573

Vulnerability from github – Published: 2023-08-31 18:30 – Updated: 2023-08-31 18:30
VLAI
Details

Divide By Zero in GitHub repository gpac/gpac prior to 2.3-DEV.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-4678"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-31T16:15:10Z",
    "severity": "MODERATE"
  },
  "details": "Divide By Zero in GitHub repository gpac/gpac prior to 2.3-DEV.",
  "id": "GHSA-4hr6-49g3-g573",
  "modified": "2023-08-31T18:30:28Z",
  "published": "2023-08-31T18:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-4678"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac/commit/4607052c482a51dbdacfe1ade10645c181d07b07"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/688a4a01-8c18-469d-8cbe-a2e79e80c877"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4JM9-V433-WX3F

Vulnerability from github – Published: 2022-05-24 16:50 – Updated: 2022-10-07 18:15
VLAI
Details

WavPack 5.1 and earlier is affected by: CWE 369: Divide by Zero. The impact is: Divide by zero can lead to sudden crash of a software/service that tries to parse a .wav file. The component is: ParseDsdiffHeaderConfig (dsdiff.c:282). The attack vector is: Maliciously crafted .wav file. The fixed version is: After commit https://github.com/dbry/WavPack/commit/4c0faba32fddbd0745cbfaf1e1aeb3da5d35b9fc.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-1010315"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-07-11T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "WavPack 5.1 and earlier is affected by: CWE 369: Divide by Zero. The impact is: Divide by zero can lead to sudden crash of a software/service that tries to parse a .wav file. The component is: ParseDsdiffHeaderConfig (dsdiff.c:282). The attack vector is: Maliciously crafted .wav file. The fixed version is: After commit https://github.com/dbry/WavPack/commit/4c0faba32fddbd0745cbfaf1e1aeb3da5d35b9fc.",
  "id": "GHSA-4jm9-v433-wx3f",
  "modified": "2022-10-07T18:15:49Z",
  "published": "2022-05-24T16:50:02Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-1010315"
    },
    {
      "type": "WEB",
      "url": "https://github.com/dbry/WavPack/issues/65"
    },
    {
      "type": "WEB",
      "url": "https://github.com/dbry/WavPack/commit/4c0faba32fddbd0745cbfaf1e1aeb3da5d35b9fc"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2021/01/msg00013.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/6CFFFWIWALGQPKINRDW3PRGRD5LOLGZA"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/BRWQNE3TH5UF64IKHKKHVCHJHUOVKJUH"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/4062-1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4M6C-V88J-QQXH

Vulnerability from github – Published: 2024-04-03 18:30 – Updated: 2025-02-27 15:31
VLAI
Details

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

fbdev: savage: Error out if pixclock equals zero

The userspace program could pass any values to the driver through ioctl() interface. If the driver doesn't check the value of pixclock, it may cause divide-by-zero error.

Although pixclock is checked in savagefb_decode_var(), but it is not checked properly in savagefb_probe(). Fix this by checking whether pixclock is zero in the function savagefb_check_var() before info->var.pixclock is used as the divisor.

This is similar to CVE-2022-3061 in i740fb which was fixed by commit 15cf0b8.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-26778"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-04-03T17:15:53Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfbdev: savage: Error out if pixclock equals zero\n\nThe userspace program could pass any values to the driver through\nioctl() interface. If the driver doesn\u0027t check the value of pixclock,\nit may cause divide-by-zero error.\n\nAlthough pixclock is checked in savagefb_decode_var(), but it is not\nchecked properly in savagefb_probe(). Fix this by checking whether\npixclock is zero in the function savagefb_check_var() before\ninfo-\u003evar.pixclock is used as the divisor.\n\nThis is similar to CVE-2022-3061 in i740fb which was fixed by\ncommit 15cf0b8.",
  "id": "GHSA-4m6c-v88j-qqxh",
  "modified": "2025-02-27T15:31:49Z",
  "published": "2024-04-03T18:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26778"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/04e5eac8f3ab2ff52fa191c187a46d4fdbc1e288"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/070398d32c5f3ab0e890374904ad94551c76aec4"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/224453de8505aede1890f007be973925a3edf6a1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/512ee6d6041e007ef5bf200c6e388e172a2c5b24"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/84dce0f6a4cc5b7bfd7242ef9290db8ac1dd77ff"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8c54acf33e5adaad6374bf3ec1e3aff0591cc8e1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a9ca4e80d23474f90841251f4ac0d941fa337a01"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bc3c2e58d73b28b9a8789fca84778ee165a72d13"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00017.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00020.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-4Q34-PQWJ-3CV6

Vulnerability from github – Published: 2025-06-18 12:30 – Updated: 2025-11-19 15:31
VLAI
Details

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

video: fbdev: arkfb: Fix a divide-by-zero bug in ark_set_pixclock()

Since the user can control the arguments of the ioctl() from the user space, under special arguments that may result in a divide-by-zero bug in: drivers/video/fbdev/arkfb.c:784: ark_set_pixclock(info, (hdiv * info->var.pixclock) / hmul); with hdiv=1, pixclock=1 and hmul=2 you end up with (1*1)/2 = (int) 0. and then in: drivers/video/fbdev/arkfb.c:504: rv = dac_set_freq(par->dac, 0, 1000000000 / pixclock); we'll get a division-by-zero.

The following log can reveal it:

divide error: 0000 [#1] PREEMPT SMP KASAN PTI RIP: 0010:ark_set_pixclock drivers/video/fbdev/arkfb.c:504 [inline] RIP: 0010:arkfb_set_par+0x10fc/0x24c0 drivers/video/fbdev/arkfb.c:784 Call Trace: fb_set_var+0x604/0xeb0 drivers/video/fbdev/core/fbmem.c:1034 do_fb_ioctl+0x234/0x670 drivers/video/fbdev/core/fbmem.c:1110 fb_ioctl+0xdd/0x130 drivers/video/fbdev/core/fbmem.c:1189

Fix this by checking the argument of ark_set_pixclock() first.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-50102"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-18T11:15:39Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nvideo: fbdev: arkfb: Fix a divide-by-zero bug in ark_set_pixclock()\n\nSince the user can control the arguments of the ioctl() from the user\nspace, under special arguments that may result in a divide-by-zero bug\nin:\n  drivers/video/fbdev/arkfb.c:784: ark_set_pixclock(info, (hdiv * info-\u003evar.pixclock) / hmul);\nwith hdiv=1, pixclock=1 and hmul=2 you end up with (1*1)/2 = (int) 0.\nand then in:\n  drivers/video/fbdev/arkfb.c:504: rv = dac_set_freq(par-\u003edac, 0, 1000000000 / pixclock);\nwe\u0027ll get a division-by-zero.\n\nThe following log can reveal it:\n\ndivide error: 0000 [#1] PREEMPT SMP KASAN PTI\nRIP: 0010:ark_set_pixclock drivers/video/fbdev/arkfb.c:504 [inline]\nRIP: 0010:arkfb_set_par+0x10fc/0x24c0 drivers/video/fbdev/arkfb.c:784\nCall Trace:\n fb_set_var+0x604/0xeb0 drivers/video/fbdev/core/fbmem.c:1034\n do_fb_ioctl+0x234/0x670 drivers/video/fbdev/core/fbmem.c:1110\n fb_ioctl+0xdd/0x130 drivers/video/fbdev/core/fbmem.c:1189\n\nFix this by checking the argument of ark_set_pixclock() first.",
  "id": "GHSA-4q34-pqwj-3cv6",
  "modified": "2025-11-19T15:31:28Z",
  "published": "2025-06-18T12:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50102"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0288fa799e273b08839037499d704dc7bdc13e9a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/15661642511b2b192077684a89f42a8d95d54286"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/236c1502520b7b08955467ec2e50b3232e34f1f9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2f1c4523f7a3aaabe7e53d3ebd378292947e95c8"
    },
    {
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      "url": "https://git.kernel.org/stable/c/76b3f0a0b56e53a960a14624a0f48b3d94b5e7e7"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9ebc5031958c1f3a2795e4533b4091d77c738d14"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a249e1b89ca25e1c34bdf96154e3f6224a91a9af"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b9a66f23612b84617e04412169e155a4b92f632d"
    }
  ],
  "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-4R58-H5CF-8QGJ

Vulnerability from github – Published: 2026-02-08 00:30 – Updated: 2026-02-08 00:30
VLAI
Details

A vulnerability has been found in Mapnik up to 4.2.0. This vulnerability affects the function mapnik::detail::mod<...>::operator of the file src/value.cpp. The manipulation leads to divide by zero. The attack needs to be performed locally. The exploit has been disclosed to the public and may be used. The project was informed of the problem early through an issue report but has not responded yet.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-15564"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-07T22:16:01Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been found in Mapnik up to 4.2.0. This vulnerability affects the function mapnik::detail::mod\u003c...\u003e::operator of the file src/value.cpp. The manipulation leads to divide by zero. The attack needs to be performed locally. The exploit has been disclosed to the public and may be used. The project was informed of the problem early through an issue report but has not responded yet.",
  "id": "GHSA-4r58-h5cf-8qgj",
  "modified": "2026-02-08T00:30:57Z",
  "published": "2026-02-08T00:30:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15564"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mapnik/mapnik/issues/4545"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mapnik/mapnik"
    },
    {
      "type": "WEB",
      "url": "https://github.com/oneafter/1219/blob/main/repro"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.344502"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.344502"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.743386"
    }
  ],
  "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:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/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-4RXG-5MF4-8HRC

Vulnerability from github – Published: 2022-05-14 03:36 – Updated: 2025-04-20 03:35
VLAI
Details

tif_dirread.c in LibTIFF 4.0.7 might allow remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted image.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-7598"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-04-09T14:59:00Z",
    "severity": "HIGH"
  },
  "details": "tif_dirread.c in LibTIFF 4.0.7 might allow remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted image.",
  "id": "GHSA-4rxg-5mf4-8hrc",
  "modified": "2025-04-20T03:35:38Z",
  "published": "2022-05-14T03:36:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-7598"
    },
    {
      "type": "WEB",
      "url": "https://blogs.gentoo.org/ago/2017/04/01/libtiff-multiple-ubsan-crashes"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201709-27"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/3602-1"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3844"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/97499"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4VF2-4XCG-65CX

Vulnerability from github – Published: 2021-05-21 14:21 – Updated: 2024-10-30 22:08
VLAI
Summary
Division by 0 in `Conv2D`
Details

Impact

An attacker can trigger a division by 0 in tf.raw_ops.Conv2D:

import tensorflow as tf

input = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
filter = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)

strides = [1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.Conv2D(input=input, filter=filter, strides=strides, padding=padding)

This is because the implementation does a division by a quantity that is controlled by the caller:

  const int64 patch_depth = filter.dim_size(2);
  if (in_depth % patch_depth != 0) { ... }

Patches

We have patched the issue in GitHub commit b12aa1d44352de21d1a6faaf04172d8c2508b42b.

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 Ying Wang and Yakun Zhang of Baidu X-Team.

Show details on source website

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        "ecosystem": "PyPI",
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      "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-2021-29526"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T23:14:52Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`:\n\n```python\nimport tensorflow as tf\n\ninput = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)\nfilter = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)\n\nstrides = [1, 1, 1, 1]\npadding = \"SAME\"\n                               \ntf.raw_ops.Conv2D(input=input, filter=filter, strides=strides, padding=padding)\n```                            \n                               \nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller:\n```cc\n  const int64 patch_depth = filter.dim_size(2);\n  if (in_depth % patch_depth != 0) { ... }\n```\n  \n### Patches\nWe have patched the issue in GitHub commit [b12aa1d44352de21d1a6faaf04172d8c2508b42b](https://github.com/tensorflow/tensorflow/commit/b12aa1d44352de21d1a6faaf04172d8c2508b42b).\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 Ying Wang and Yakun Zhang of Baidu X-Team.",
  "id": "GHSA-4vf2-4xcg-65cx",
  "modified": "2024-10-30T22:08:50Z",
  "published": "2021-05-21T14:21:55Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4vf2-4xcg-65cx"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29526"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/b12aa1d44352de21d1a6faaf04172d8c2508b42b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-454.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-652.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-163.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": "Division by 0 in `Conv2D`"
}

GHSA-4VP3-6VQC-2CJP

Vulnerability from github – Published: 2022-05-17 02:53 – Updated: 2022-05-17 02:53
VLAI
Details

The printMP3Headers function in listmp3.c in Libming 0.4.7 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted mp3 file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-9265"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-03-23T18:59:00Z",
    "severity": "MODERATE"
  },
  "details": "The printMP3Headers function in listmp3.c in Libming 0.4.7 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted mp3 file.",
  "id": "GHSA-4vp3-6vqc-2cjp",
  "modified": "2022-05-17T02:53:36Z",
  "published": "2022-05-17T02:53:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-9265"
    },
    {
      "type": "WEB",
      "url": "https://blogs.gentoo.org/ago/2016/11/09/libming-listmp3-divide-by-zero-in-printmp3headers-list"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2016/11/10/10"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/94252"
    }
  ],
  "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-4VRF-FF7V-HPGR

Vulnerability from github – Published: 2021-05-21 14:27 – Updated: 2024-11-13 16:05
VLAI
Summary
Division by zero in TFLite's implementation of `EmbeddingLookup`
Details

The implementation of the EmbeddingLookup TFLite operator is vulnerable to a division by zero error:

const int row_size = SizeOfDimension(value, 0);
const int row_bytes = value->bytes / row_size;

An attacker can craft a model such that the first dimension of the value input is 0.

Patches

We have patched the issue in GitHub commit f61c57bd425878be108ec787f4d96390579fb83e.

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 members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29596"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-17T22:34:57Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "The implementation of the `EmbeddingLookup` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74):\n\n```cc\nconst int row_size = SizeOfDimension(value, 0);\nconst int row_bytes = value-\u003ebytes / row_size;\n```\n\nAn attacker can craft a model such that the first dimension of the `value` input is 0.\n\n### Patches\nWe have patched the issue in GitHub commit [f61c57bd425878be108ec787f4d96390579fb83e](https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e).\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 members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-4vrf-ff7v-hpgr",
  "modified": "2024-11-13T16:05:41Z",
  "published": "2021-05-21T14:27:51Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4vrf-ff7v-hpgr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29596"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-524.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-722.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-233.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74"
    }
  ],
  "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": "Division by zero in TFLite\u0027s implementation of `EmbeddingLookup`"
}

GHSA-4W24-2QM8-WFCM

Vulnerability from github – Published: 2022-05-13 01:28 – Updated: 2022-05-13 01:28
VLAI
Details

In GraphicsMagick 1.3.28, there is a divide-by-zero in the ReadMNGImage function of coders/png.c. Remote attackers could leverage this vulnerability to cause a crash and denial of service via a crafted mng file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-9018"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-03-25T21:29:00Z",
    "severity": "MODERATE"
  },
  "details": "In GraphicsMagick 1.3.28, there is a divide-by-zero in the ReadMNGImage function of coders/png.c. Remote attackers could leverage this vulnerability to cause a crash and denial of service via a crafted mng file.",
  "id": "GHSA-4w24-2qm8-wfcm",
  "modified": "2022-05-13T01:28:57Z",
  "published": "2022-05-13T01:28:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-9018"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2018/03/msg00025.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2018/08/msg00002.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/3IYH7QSNXXOIDFTYLY455ANZ3JWQ7FCS"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/FS76VNCFL3FVRMGXQEMHBOKA7EE46BTS"
    },
    {
      "type": "WEB",
      "url": "https://sourceforge.net/p/graphicsmagick/bugs/554"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2018/dsa-4321"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/103526"
    }
  ],
  "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"
    }
  ]
}

No mitigation information available for this CWE.

No CAPEC attack patterns related to this CWE.