Common Weakness Enumeration
CWE-369
AllowedDivide By Zero
Abstraction: Base · Status: Draft
The product divides a value by zero.
609 vulnerabilities reference this CWE, most recent first.
GHSA-XG2M-HPW9-R98W
Vulnerability from github – Published: 2025-05-09 09:33 – Updated: 2025-11-17 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
pwm: mediatek: Prevent divide-by-zero in pwm_mediatek_config()
With CONFIG_COMPILE_TEST && !CONFIG_HAVE_CLK, pwm_mediatek_config() has a divide-by-zero in the following line:
do_div(resolution, clk_get_rate(pc->clk_pwms[pwm->hwpwm]));
due to the fact that the !CONFIG_HAVE_CLK version of clk_get_rate() returns zero.
This is presumably just a theoretical problem: COMPILE_TEST overrides the dependency on RALINK which would select COMMON_CLK. Regardless it's a good idea to check for the error explicitly to avoid divide-by-zero.
Fixes the following warning:
drivers/pwm/pwm-mediatek.o: warning: objtool: .text: unexpected end of section
[ukleinek: s/CONFIG_CLK/CONFIG_HAVE_CLK/]
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-37850"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-05-09T07:16:05Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\npwm: mediatek: Prevent divide-by-zero in pwm_mediatek_config()\n\nWith CONFIG_COMPILE_TEST \u0026\u0026 !CONFIG_HAVE_CLK, pwm_mediatek_config() has a\ndivide-by-zero in the following line:\n\n\tdo_div(resolution, clk_get_rate(pc-\u003eclk_pwms[pwm-\u003ehwpwm]));\n\ndue to the fact that the !CONFIG_HAVE_CLK version of clk_get_rate()\nreturns zero.\n\nThis is presumably just a theoretical problem: COMPILE_TEST overrides\nthe dependency on RALINK which would select COMMON_CLK. Regardless it\u0027s\na good idea to check for the error explicitly to avoid divide-by-zero.\n\nFixes the following warning:\n\n drivers/pwm/pwm-mediatek.o: warning: objtool: .text: unexpected end of section\n\n[ukleinek: s/CONFIG_CLK/CONFIG_HAVE_CLK/]",
"id": "GHSA-xg2m-hpw9-r98w",
"modified": "2025-11-17T15:30:31Z",
"published": "2025-05-09T09:33:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-37850"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4cb15042b5f3ec0474e91cf379120cc597625dbb"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/77fb96dbe350e8a5ae4965ff9f6e7049f3966a6b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7ca59947b5fcf94e7ea4029d1bd0f7c41500a161"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8b9f60725d74b72c238e4437c957d0217746b506"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8ddbec73ea2598d8414e8f7103241b55cf877010"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c343856ff2689ce0afef823592732fc178ef4aac"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e1206d8e1651c9f62e5640b69b14d925b1a0a00a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e3cf0c38d3ce754ad63005102fcfeb0b7ff3290b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f3e9cf266c2c103cf071e15d7a17e2c699fff3c5"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00030.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00045.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-XGW2-H7JV-85PM
Vulnerability from github – Published: 2022-09-10 00:00 – Updated: 2026-09-14 15:31
VLAI
Details
An issue in the Leptonica linked library (v1.79.0) in Tesseract v5.0.0 allows attackers to cause an arithmetic exception leading to a Denial of Service (DoS) via a crafted JPEG file.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-38266"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-09T22:15:00Z",
"severity": "MODERATE"
},
"details": "An issue in the Leptonica linked library (v1.79.0) in Tesseract v5.0.0 allows attackers to cause an arithmetic exception leading to a Denial of Service (DoS) via a crafted JPEG file.",
"id": "GHSA-xgw2-h7jv-85pm",
"modified": "2026-09-14T15:31:40Z",
"published": "2022-09-10T00:00:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-38266"
},
{
"type": "WEB",
"url": "https://github.com/tesseract-ocr/tesseract/issues/3498"
},
{
"type": "WEB",
"url": "https://github.com/DanBloomberg/leptonica/commit/f062b42c0ea8dddebdc6a152fd16152de215d614"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/12/msg00018.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202312-01"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XJPW-HX47-RCCV
Vulnerability from github – Published: 2024-01-03 09:30 – Updated: 2024-11-22 18:18
VLAI
Summary
PaddlePaddle floating point exception in paddle.nanmedian
Details
FPE in paddle.nanmedian 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-2023-38674"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2024-01-03T20:00:45Z",
"nvd_published_at": "2024-01-03T09:15:08Z",
"severity": "MODERATE"
},
"details": "FPE in paddle.nanmedian in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.\n\n\n\n",
"id": "GHSA-xjpw-hx47-rccv",
"modified": "2024-11-22T18:18:37Z",
"published": "2024-01-03T09:30:31Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-38674"
},
{
"type": "WEB",
"url": "https://github.com/PaddlePaddle/Paddle/commit/690ffe814dbfc5054d4e92df878687fd638fe3a5"
},
{
"type": "PACKAGE",
"url": "https://github.com/PaddlePaddle/Paddle"
},
{
"type": "WEB",
"url": "https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-006.md"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/paddlepaddle/PYSEC-2024-129.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.nanmedian"
}
GHSA-XJQ8-X422-V6QJ
Vulnerability from github – Published: 2022-05-14 03:00 – Updated: 2022-05-14 03:00
VLAI
Details
SWFTools 0.9.2 has a divide-by-zero error in the wav_convert2mono function in lib/wav.c because the align value may be zero.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2017-16890"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-07-09T11:29:00Z",
"severity": "MODERATE"
},
"details": "SWFTools 0.9.2 has a divide-by-zero error in the wav_convert2mono function in lib/wav.c because the align value may be zero.",
"id": "GHSA-xjq8-x422-v6qj",
"modified": "2022-05-14T03:00:55Z",
"published": "2022-05-14T03:00:55Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-16890"
},
{
"type": "WEB",
"url": "https://github.com/matthiaskramm/swftools/issues/57"
}
],
"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-XM2V-8RRW-W9PM
Vulnerability from github – Published: 2021-05-21 14:21 – Updated: 2024-10-30 22:09
VLAI
Summary
Division by 0 in `Conv2DBackpropInput`
Details
Impact
An attacker can trigger a division by 0 in tf.raw_ops.Conv2DBackpropInput:
import tensorflow as tf
input_tensor = tf.constant([52, 1, 1, 5], shape=[4], dtype=tf.int32)
filter_tensor = tf.constant([], shape=[0, 1, 5, 0], dtype=tf.float32)
out_backprop = tf.constant([], shape=[52, 1, 1, 0], dtype=tf.float32)
tf.raw_ops.Conv2DBackpropInput(input_sizes=input_tensor, filter=filter_tensor,
out_backprop=out_backprop, strides=[1, 1, 1, 1],
use_cudnn_on_gpu=True, padding='SAME',
explicit_paddings=[], data_format='NHWC',
dilations=[1, 1, 1, 1])
This is because the implementation does a division by a quantity that is controlled by the caller:
const size_t size_A = output_image_size * dims.out_depth;
const size_t size_B = filter_total_size * dims.out_depth;
const size_t size_C = output_image_size * filter_total_size;
const size_t work_unit_size = size_A + size_B + size_C;
...
const size_t shard_size =
use_parallel_contraction ? 1 :
(target_working_set_size + work_unit_size - 1) / work_unit_size;
Patches
We have patched the issue in GitHub commit 2be2cdf3a123e231b16f766aa0e27d56b4606535.
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 Yakun Zhang and Ying Wang of Baidu X-Team.
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-2021-29525"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T23:17:46Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nAn attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`:\n\n```python\nimport tensorflow as tf\n\ninput_tensor = tf.constant([52, 1, 1, 5], shape=[4], dtype=tf.int32)\nfilter_tensor = tf.constant([], shape=[0, 1, 5, 0], dtype=tf.float32)\nout_backprop = tf.constant([], shape=[52, 1, 1, 0], dtype=tf.float32)\n\ntf.raw_ops.Conv2DBackpropInput(input_sizes=input_tensor, filter=filter_tensor,\n out_backprop=out_backprop, strides=[1, 1, 1, 1],\n use_cudnn_on_gpu=True, padding=\u0027SAME\u0027,\n explicit_paddings=[], data_format=\u0027NHWC\u0027,\n dilations=[1, 1, 1, 1])\n``` \n \nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller:\n\n```cc \n const size_t size_A = output_image_size * dims.out_depth; \n const size_t size_B = filter_total_size * dims.out_depth;\n const size_t size_C = output_image_size * filter_total_size;\n const size_t work_unit_size = size_A + size_B + size_C;\n ...\n const size_t shard_size =\n use_parallel_contraction ? 1 :\n (target_working_set_size + work_unit_size - 1) / work_unit_size;\n```\n\n### Patches\nWe have patched the issue in GitHub commit [2be2cdf3a123e231b16f766aa0e27d56b4606535](https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535).\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 Yakun Zhang and Ying Wang of Baidu X-Team.",
"id": "GHSA-xm2v-8rrw-w9pm",
"modified": "2024-10-30T22:09:34Z",
"published": "2021-05-21T14:21:51Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29525"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-453.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-651.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-162.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 `Conv2DBackpropInput`"
}
GHSA-XVCJ-QW55-XX42
Vulnerability from github – Published: 2024-05-30 21:33 – Updated: 2025-11-03 21:31
VLAI
Details
EDK2 contains a vulnerability when S3 sleep is activated where an Attacker may cause a Division-By-Zero due to a UNIT32 overflow via local access. A successful exploit of this vulnerability may lead to a loss of Availability.
Severity
6.0 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-1298"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-30T21:15:09Z",
"severity": "MODERATE"
},
"details": "EDK2 contains a vulnerability when S3 sleep is activated where an Attacker may cause a Division-By-Zero due to a UNIT32 overflow via local access. A successful exploit of this vulnerability may lead to a loss of Availability.",
"id": "GHSA-xvcj-qw55-xx42",
"modified": "2025-11-03T21:31:06Z",
"published": "2024-05-30T21:33:37Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tianocore/edk2/security/advisories/GHSA-chfw-xj8f-6m53"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-1298"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/06/msg00007.html"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/F7NUL7NSZQ76A5OKDUCODQNY7WSX4SST"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/VIMEZWDKEIQKU7NMHKL57DOCITPGEXYN"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20250306-0002"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XW93-V57J-FCGH
Vulnerability from github – Published: 2021-05-21 14:24 – Updated: 2024-10-31 20:54
VLAI
Summary
Division by 0 in `SparseMatMul`
Details
Impact
An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.SparseMatMul:
import tensorflow as tf
a = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)
b = tf.constant([], shape=[0, 2], dtype=tf.float32)
tf.raw_ops.SparseMatMul(
a=a, b=b, transpose_a=True, transpose_b=True,
a_is_sparse=True, b_is_sparse=True)
The division by 0 occurs deep in Eigen code because the b tensor is empty.
Patches
We have patched the issue in GitHub commit 7f283ff806b2031f407db64c4d3edcda8fb9f9f5.
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.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
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"fixed": "2.1.4"
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"name": "tensorflow-gpu"
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},
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"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
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"introduced": "2.2.0"
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]
},
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"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
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"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
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"type": "ECOSYSTEM"
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],
"aliases": [
"CVE-2021-29557"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T20:40:17Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nAn attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.SparseMatMul`:\n\n```python\nimport tensorflow as tf\n\na = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)\nb = tf.constant([], shape=[0, 2], dtype=tf.float32)\n\ntf.raw_ops.SparseMatMul(\n a=a, b=b, transpose_a=True, transpose_b=True,\n a_is_sparse=True, b_is_sparse=True)\n``` \n \nThe division by 0 occurs deep in Eigen code because the `b` tensor is empty.\n \n### Patches\nWe have patched the issue in GitHub commit [7f283ff806b2031f407db64c4d3edcda8fb9f9f5](https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5).\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-xw93-v57j-fcgh",
"modified": "2024-10-31T20:54:32Z",
"published": "2021-05-21T14:24:48Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xw93-v57j-fcgh"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29557"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-485.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-683.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-194.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 `SparseMatMul`"
}
GHSA-XWCM-F545-R47Q
Vulnerability from github – Published: 2022-06-28 00:00 – Updated: 2022-07-08 00:00
VLAI
Details
When performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2021-33654"
],
"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 performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception.",
"id": "GHSA-xwcm-f545-r47q",
"modified": "2022-07-08T00:00:46Z",
"published": "2022-06-28T00:00:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-33654"
},
{
"type": "WEB",
"url": "https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-001_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-XWHC-G2J2-VC9P
Vulnerability from github – Published: 2022-05-24 17:42 – Updated: 2022-05-24 17:42
VLAI
Details
Divide by zero in some Intel(R) Graphics Drivers before version 26.20.100.8141 may allow a privileged user to potentially enable a denial of service via local access.
{
"affected": [],
"aliases": [
"CVE-2020-12371"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-02-17T14:15:00Z",
"severity": "MODERATE"
},
"details": "Divide by zero in some Intel(R) Graphics Drivers before version 26.20.100.8141 may allow a privileged user to potentially enable a denial of service via local access.",
"id": "GHSA-xwhc-g2j2-vc9p",
"modified": "2022-05-24T17:42:26Z",
"published": "2022-05-24T17:42:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-12371"
},
{
"type": "WEB",
"url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00438.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.