Common Weakness Enumeration
CWE-369
AllowedDivide By Zero
Abstraction: Base · Status: Draft
The product divides a value by zero.
598 vulnerabilities reference this CWE, most recent first.
GHSA-248Q-W8JQ-JXJ9
Vulnerability from github – Published: 2026-07-28 15:32 – Updated: 2026-07-28 18:33
VLAI
Details
The logic to handle periodic Viridian STIMERs performs a division with an unchecked user-controlled divisor value, that can be set to zero to cause a #DE fault.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2026-62431"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-07-28T13:19:02Z",
"severity": "HIGH"
},
"details": "The logic to handle periodic Viridian STIMERs performs a division with an\nunchecked user-controlled divisor value, that can be set to zero to cause a #DE\nfault.",
"id": "GHSA-248q-w8jq-jxj9",
"modified": "2026-07-28T18:33:02Z",
"published": "2026-07-28T15:32:17Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-62431"
},
{
"type": "WEB",
"url": "https://xenbits.xenproject.org/xsa/advisory-504.html"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/28/20"
},
{
"type": "WEB",
"url": "http://xenbits.xen.org/xsa/advisory-504.html"
}
],
"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-269W-VFJC-88W7
Vulnerability from github – Published: 2022-05-24 19:02 – Updated: 2022-05-24 19:02
VLAI
Details
Mikrotik RouterOs before 6.47 (stable tree) in the /ram/pckg/advanced-tools/nova/bin/netwatch process. An authenticated remote attacker can cause a Denial of Service due to a divide by zero error.
{
"affected": [],
"aliases": [
"CVE-2020-20264"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-05-19T12:15:00Z",
"severity": "MODERATE"
},
"details": "Mikrotik RouterOs before 6.47 (stable tree) in the /ram/pckg/advanced-tools/nova/bin/netwatch process. An authenticated remote attacker can cause a Denial of Service due to a divide by zero error.",
"id": "GHSA-269w-vfjc-88w7",
"modified": "2022-05-24T19:02:48Z",
"published": "2022-05-24T19:02:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-20264"
},
{
"type": "WEB",
"url": "https://github.com/cq674350529/pocs_slides/blob/master/pocs/MikroTik/vul_netwatch/README.md"
},
{
"type": "WEB",
"url": "https://seclists.org/fulldisclosure/2021/May/11"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-26J7-6W8W-7922
Vulnerability from github – Published: 2021-05-21 14:26 – Updated: 2024-11-13 16:01
VLAI
Summary
Division by zero in optimized pooling implementations in TFLite
Details
Impact
Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling ComputePaddingHeightWidth.
Since users can craft special models which will have params->stride_{height,width} be zero, this will result in a division by zero.
Patches
We have patched the issue in GitHub commit 5f7975d09eac0f10ed8a17dbb6f5964977725adc.
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.
Severity
{
"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-2021-29586"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T17:03:33Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nOptimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling [`ComputePaddingHeightWidth`](https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90).\n\nSince users can craft special models which will have `params-\u003estride_{height,width}` be zero, this will result in a division by zero.\n \n### Patches\nWe have patched the issue in GitHub commit [5f7975d09eac0f10ed8a17dbb6f5964977725adc](https://github.com/tensorflow/tensorflow/commit/5f7975d09eac0f10ed8a17dbb6f5964977725adc).\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-26j7-6w8w-7922",
"modified": "2024-11-13T16:01:10Z",
"published": "2021-05-21T14:26:43Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-26j7-6w8w-7922"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29586"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/5f7975d09eac0f10ed8a17dbb6f5964977725adc"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-514.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-712.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-223.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90"
}
],
"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:N/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 optimized pooling implementations in TFLite"
}
GHSA-275C-W5MQ-V5M2
Vulnerability from github – Published: 2024-01-03 09:30 – Updated: 2024-11-22 18:20
VLAI
Summary
PaddlePaddle floating point exception in paddle.argmin and paddle.argmax
Details
FPE in paddle.argmin and paddle.argmax in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.
Severity
4.7 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "PaddlePaddle"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.6.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-52313"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2024-01-03T22:02:51Z",
"nvd_published_at": "2024-01-03T09:15:11Z",
"severity": "MODERATE"
},
"details": "FPE in paddle.argmin and paddle.argmax\u00a0in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.\n\n\n\n",
"id": "GHSA-275c-w5mq-v5m2",
"modified": "2024-11-22T18:20:23Z",
"published": "2024-01-03T09:30:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52313"
},
{
"type": "WEB",
"url": "https://github.com/PaddlePaddle/Paddle/commit/6ef71779197ad6faf51ac295022ab5008d81372f"
},
{
"type": "PACKAGE",
"url": "https://github.com/PaddlePaddle/Paddle"
},
{
"type": "WEB",
"url": "https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-022.md"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/paddlepaddle/PYSEC-2024-145.yaml"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:N/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "PaddlePaddle floating point exception in paddle.argmin and paddle.argmax"
}
GHSA-27QF-JWM8-G7F3
Vulnerability from github – Published: 2021-08-25 14:39 – Updated: 2024-11-13 21:25
VLAI
Summary
FPE in LSH in TFLite
Details
Impact
An attacker can craft a TFLite model that would trigger a division by zero error in LSH implementation.
int RunningSignBit(const TfLiteTensor* input, const TfLiteTensor* weight,
float seed) {
int input_item_bytes = input->bytes / SizeOfDimension(input, 0);
// ...
}
There is no check that the first dimension of the input is non zero.
Patches
We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Yakun Zhang of Baidu Security.
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-2021-37691"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-24T18:17:31Z",
"nvd_published_at": "2021-08-12T23:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nAn attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118).\n\n```cc\nint RunningSignBit(const TfLiteTensor* input, const TfLiteTensor* weight,\n float seed) {\n int input_item_bytes = input-\u003ebytes / SizeOfDimension(input, 0);\n // ...\n}\n```\n \nThere is no check that the first dimension of the input is non zero.\n \n### Patches\nWe have patched the issue in GitHub commit [0575b640091680cfb70f4dd93e70658de43b94f9](https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang of Baidu Security.",
"id": "GHSA-27qf-jwm8-g7f3",
"modified": "2024-11-13T21:25:37Z",
"published": "2021-08-25T14:39:17Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37691"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-604.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-802.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-313.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:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "FPE in LSH in TFLite"
}
GHSA-28F4-9QFP-6F7V
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 ImageStream::ImageStream at Stream.cc for nBits.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-10025"
],
"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 ImageStream::ImageStream at Stream.cc for nBits.",
"id": "GHSA-28f4-9qfp-6f7v",
"modified": "2022-05-14T01:15:48Z",
"published": "2022-05-14T01:15:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10025"
},
{
"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-2C99-HRRC-J3VH
Vulnerability from github – Published: 2025-03-28 18:33 – Updated: 2025-11-03 21:33
VLAI
Details
Floating point exception in fig2dev in version 3.2.9a allows an attacker to availability via local input manipulation via get_slope function.
Severity
6.6 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-31162"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-03-28T18:15:18Z",
"severity": "MODERATE"
},
"details": "Floating point exception in fig2dev in version 3.2.9a\u00a0allows an attacker to availability via local input manipulation via\u00a0get_slope function.",
"id": "GHSA-2c99-hrrc-j3vh",
"modified": "2025-11-03T21:33:13Z",
"published": "2025-03-28T18:33:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-31162"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/04/msg00030.html"
},
{
"type": "WEB",
"url": "https://sourceforge.net/p/mcj/tickets/185"
}
],
"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:H",
"type": "CVSS_V3"
}
]
}
GHSA-2CHW-XGWW-WGP9
Vulnerability from github – Published: 2022-05-14 01:12 – Updated: 2022-05-14 01:12
VLAI
Details
There is floating point exception at caca/dither.c (function caca_dither_bitmap) in libcaca 0.99.beta19.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-20544"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-12-28T16:29:00Z",
"severity": "MODERATE"
},
"details": "There is floating point exception at caca/dither.c (function caca_dither_bitmap) in libcaca 0.99.beta19.",
"id": "GHSA-2chw-xgww-wgp9",
"modified": "2022-05-14T01:12:47Z",
"published": "2022-05-14T01:12:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-20544"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1652627"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2019/01/msg00007.html"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/3860-1"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/3860-2"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2019-04/msg00033.html"
}
],
"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-2CP7-J8XG-P2M2
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:
ext4: avoid dividing by 0 in mb_update_avg_fragment_size() when block bitmap corrupt
Determine if bb_fragments is 0 instead of determining bb_free to eliminate the risk of dividing by zero when the block bitmap is corrupted.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-26774"
],
"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\next4: avoid dividing by 0 in mb_update_avg_fragment_size() when block bitmap corrupt\n\nDetermine if bb_fragments is 0 instead of determining bb_free to eliminate\nthe risk of dividing by zero when the block bitmap is corrupted.",
"id": "GHSA-2cp7-j8xg-p2m2",
"modified": "2025-02-27T15:31:49Z",
"published": "2024-04-03T18:30:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26774"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/687061cfaa2ac3095170e136dd9c29a4974f41d4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8b40eb2e716b503f7a4e1090815a17b1341b2150"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8cf9cc602cfb40085967c0d140e32691c8b71cf3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/993bf0f4c393b3667830918f9247438a8f6fdb5b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f32d2a745b02123258026e105a008f474f896d6a"
}
],
"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-2GQV-9XV4-43W4
Vulnerability from github – Published: 2022-05-17 00:27 – Updated: 2022-05-17 00:27
VLAI
Details
The intersect function in base/gxfill.c in Artifex Software, Inc. Ghostscript 9.20 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted file.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2016-10219"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-04-03T05:59:00Z",
"severity": "MODERATE"
},
"details": "The intersect function in base/gxfill.c in Artifex Software, Inc. Ghostscript 9.20 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted file.",
"id": "GHSA-2gqv-9xv4-43w4",
"modified": "2022-05-17T00:27:43Z",
"published": "2022-05-17T00:27:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10219"
},
{
"type": "WEB",
"url": "https://bugs.ghostscript.com/show_bug.cgi?id=697453"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201708-06"
},
{
"type": "WEB",
"url": "http://www.debian.org/security/2017/dsa-3838"
},
{
"type": "WEB",
"url": "http://www.ghostscript.com/cgi-bin/findgit.cgi?4bef1a1d32e29b68855616020dbff574b9cda08f"
}
],
"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.