Common Weakness Enumeration
CWE-369
AllowedDivide By Zero
Abstraction: Base · Status: Draft
The product divides a value by zero.
579 vulnerabilities reference this CWE, most recent first.
GHSA-8WC2-54GH-PQ44
Vulnerability from github – Published: 2025-02-25 21:31 – Updated: 2025-02-25 21:31
VLAI
Details
Use after free in some Zoom Workplace Apps and SDKs may allow an authenticated user to conduct a denial of service via network access.
Severity
4.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-27239"
],
"database_specific": {
"cwe_ids": [
"CWE-369",
"CWE-416"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-02-25T21:15:14Z",
"severity": "MODERATE"
},
"details": "Use after free in some Zoom Workplace Apps and SDKs may allow an authenticated user to conduct a denial of service via network access.",
"id": "GHSA-8wc2-54gh-pq44",
"modified": "2025-02-25T21:31:44Z",
"published": "2025-02-25T21:31:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27239"
},
{
"type": "WEB",
"url": "https://www.zoom.com/en/trust/security-bulletin/zsb-24018"
}
],
"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:L",
"type": "CVSS_V3"
}
]
}
GHSA-8XHQ-WVCF-G987
Vulnerability from github – Published: 2022-05-24 16:52 – Updated: 2022-09-27 00:00
VLAI
Details
An issue was discovered in Poppler through 0.78.0. There is a divide-by-zero error in the function SplashOutputDev::tilingPatternFill at SplashOutputDev.cc.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2019-14494"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-08-01T17:15:00Z",
"severity": "MODERATE"
},
"details": "An issue was discovered in Poppler through 0.78.0. There is a divide-by-zero error in the function SplashOutputDev::tilingPatternFill at SplashOutputDev.cc.",
"id": "GHSA-8xhq-wvcf-g987",
"modified": "2022-09-27T00:00:23Z",
"published": "2022-05-24T16:52:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-14494"
},
{
"type": "WEB",
"url": "https://gitlab.freedesktop.org/poppler/poppler/issues/802"
},
{
"type": "WEB",
"url": "https://gitlab.freedesktop.org/poppler/poppler/merge_requests/317"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2020/11/msg00014.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00030.html"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/AHYAM32PALHQXL3O4DKIJ3EJB6AKBOVC"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/DLAQBLBIIL3A5XZQYR4MG3Z4LIPIC42P"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4091-1"
}
],
"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-8XQP-FJCQ-73JP
Vulnerability from github – Published: 2022-06-28 00:00 – Updated: 2022-07-08 00:00
VLAI
Details
When the Reduce operator run operation is executed, if there is a value of 0 in the parameter axis_sizes element, it will cause a division by 0 exception.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2021-33652"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-06-27T17:15:00Z",
"severity": "HIGH"
},
"details": "When the Reduce operator run operation is executed, if there is a value of 0 in the parameter axis_sizes element, it will cause a division by 0 exception.",
"id": "GHSA-8xqp-fjcq-73jp",
"modified": "2022-07-08T00:00:45Z",
"published": "2022-06-28T00:00:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-33652"
},
{
"type": "WEB",
"url": "https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-003_en.md"
}
],
"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-934G-QJPP-C7XG
Vulnerability from github – Published: 2022-05-24 19:03 – Updated: 2022-05-24 19:03
VLAI
Details
FFmpeg 4.2 is affected by a Divide By Zero issue via libavcodec/aaccoder, which allows a remote malicious user to cause a Denial of Service
{
"affected": [],
"aliases": [
"CVE-2020-20453"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-05-25T20:15:00Z",
"severity": "MODERATE"
},
"details": "FFmpeg 4.2 is affected by a Divide By Zero issue via libavcodec/aaccoder, which allows a remote malicious user to cause a Denial of Service",
"id": "GHSA-934g-qjpp-c7xg",
"modified": "2022-05-24T19:03:10Z",
"published": "2022-05-24T19:03:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-20453"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/11/msg00012.html"
},
{
"type": "WEB",
"url": "https://trac.ffmpeg.org/ticket/8003"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2021/dsa-4990"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2021/dsa-4998"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-947V-W24J-9PH3
Vulnerability from github – Published: 2022-09-16 00:00 – Updated: 2022-09-21 00:00
VLAI
Details
The MPlayer Project mencoder SVN-r38374-13.0.1 is vulnerable to Divide By Zero via the function config () of llibmpcodecs/vf_scale.c.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-38850"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-15T16:15:00Z",
"severity": "MODERATE"
},
"details": "The MPlayer Project mencoder SVN-r38374-13.0.1 is vulnerable to Divide By Zero via the function config () of llibmpcodecs/vf_scale.c.",
"id": "GHSA-947v-w24j-9ph3",
"modified": "2022-09-21T00:00:38Z",
"published": "2022-09-16T00:00:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-38850"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/12/msg00042.html"
},
{
"type": "WEB",
"url": "https://trac.mplayerhq.hu/ticket/2399"
}
],
"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-94VX-HXVV-26M7
Vulnerability from github – Published: 2025-01-19 12:31 – Updated: 2025-11-03 21:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/amd/display: Add check for granularity in dml ceil/floor helpers
[Why] Wrapper functions for dcn_bw_ceil2() and dcn_bw_floor2() should check for granularity is non zero to avoid assert and divide-by-zero error in dcn_bw_ functions.
[How] Add check for granularity 0.
(cherry picked from commit f6e09701c3eb2ccb8cb0518e0b67f1c69742a4ec)
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-57922"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"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\ndrm/amd/display: Add check for granularity in dml ceil/floor helpers\n\n[Why]\nWrapper functions for dcn_bw_ceil2() and dcn_bw_floor2()\nshould check for granularity is non zero to avoid assert and\ndivide-by-zero error in dcn_bw_ functions.\n\n[How]\nAdd check for granularity 0.\n\n(cherry picked from commit f6e09701c3eb2ccb8cb0518e0b67f1c69742a4ec)",
"id": "GHSA-94vx-hxvv-26m7",
"modified": "2025-11-03T21:32:14Z",
"published": "2025-01-19T12:31:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-57922"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0881fbc4fd62e00a2b8e102725f76d10351b2ea8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/497471baf53bb8fd3cd1529d65d4d7f7b81f1917"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4f0dd09ed3001725ffd8cdc2868e71df585392fe"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8a9315e6f7b2d94c65a1ba476481deddb20fc3ae"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/95793f9684e58d2aa56671b2d616b4f9f577a0a8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ae9ab63a268be99a27a4720ca24f6be801744fee"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f3d1e4062ef251fa55ccfeca1e54a98b6818b3a1"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/03/msg00001.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/03/msg00002.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-95FV-WC72-JPFR
Vulnerability from github – Published: 2022-05-14 01:15 – Updated: 2022-05-14 01:15
VLAI
Details
An issue was discovered in Xpdf 4.01.01. There is an FPE in the function Splash::scaleImageYuXu at Splash.cc for y Bresenham parameters.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-10024"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-03-25T00:29:00Z",
"severity": "MODERATE"
},
"details": "An issue was discovered in Xpdf 4.01.01. There is an FPE in the function Splash::scaleImageYuXu at Splash.cc for y Bresenham parameters.",
"id": "GHSA-95fv-wc72-jpfr",
"modified": "2022-05-14T01:15:48Z",
"published": "2022-05-14T01:15:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10024"
},
{
"type": "WEB",
"url": "https://forum.xpdfreader.com/viewtopic.php?f=3\u0026t=41274"
}
],
"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-95RP-7QCX-WXR4
Vulnerability from github – Published: 2023-02-07 00:30 – Updated: 2023-02-15 00:30
VLAI
Details
A memory leak flaw and potential divide by zero and Integer overflow was found in the Linux kernel V4L2 and vivid test code functionality. This issue occurs when a user triggers ioctls, such as VIDIOC_S_DV_TIMINGS ioctl. This could allow a local user to crash the system if vivid test code enabled.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-0615"
],
"database_specific": {
"cwe_ids": [
"CWE-190",
"CWE-20",
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-02-06T23:15:00Z",
"severity": "MODERATE"
},
"details": "A memory leak flaw and potential divide by zero and Integer overflow was found in the Linux kernel V4L2 and vivid test code functionality. This issue occurs when a user triggers ioctls, such as VIDIOC_S_DV_TIMINGS ioctl. This could allow a local user to crash the system if vivid test code enabled.",
"id": "GHSA-95rp-7qcx-wxr4",
"modified": "2023-02-15T00:30:36Z",
"published": "2023-02-07T00:30:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-0615"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2166287"
}
],
"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-95XM-G58G-3P88
Vulnerability from github – Published: 2021-08-25 14:44 – Updated: 2024-11-13 16:32
VLAI
Summary
Integer division by 0 in sparse reshaping
Details
Impact
The implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception:
import tensorflow as tf
tf.raw_ops.SparseReshape(
input_indices = np.ones((1,3)),
input_shape = np.array([1,1,0]),
new_shape = np.array([1,0]))
The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements.
The reshape functor blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0.
Patches
We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.
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.
Severity
5.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
}
],
"aliases": [
"CVE-2021-37640"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-23T18:28:24Z",
"nvd_published_at": "2021-08-12T18:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThe implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SparseReshape(\n input_indices = np.ones((1,3)),\n input_shape = np.array([1,1,0]),\n new_shape = np.array([1,0]))\n```\n \nThe [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements.\n\nThe [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0.\n \n### Patches\nWe have patched the issue in GitHub commit [4923de56ec94fff7770df259ab7f2288a74feb41](https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.\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-95xm-g58g-3p88",
"modified": "2024-11-13T16:32:14Z",
"published": "2021-08-25T14:44:02Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37640"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-553.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-751.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-262.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"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"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Integer division by 0 in sparse reshaping"
}
GHSA-96R9-34X2-995X
Vulnerability from github – Published: 2022-05-17 02:50 – Updated: 2022-05-17 02:50
VLAI
Details
The allocate_channel_framebuffer function in uncompressed_components.hh in Dropbox Lepton 1.2.1 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a malformed JPEG image.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2017-7448"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-04-05T23:59:00Z",
"severity": "MODERATE"
},
"details": "The allocate_channel_framebuffer function in uncompressed_components.hh in Dropbox Lepton 1.2.1 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a malformed JPEG image.",
"id": "GHSA-96r9-34x2-995x",
"modified": "2022-05-17T02:50:38Z",
"published": "2022-05-17T02:50:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-7448"
},
{
"type": "WEB",
"url": "https://github.com/dropbox/lepton/issues/86"
},
{
"type": "WEB",
"url": "https://github.com/dropbox/lepton/commit/7789d99ac156adfd7bbf66e7824bd3e948a74cf7"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/97490"
}
],
"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"
}
]
}
No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.