Common Weakness Enumeration
CWE-369
AllowedDivide By Zero
Abstraction: Base · Status: Draft
The product divides a value by zero.
613 vulnerabilities reference this CWE, most recent first.
GHSA-Q76V-8F8C-4C2J
Vulnerability from github – Published: 2023-09-11 06:30 – Updated: 2023-11-04 06:34
VLAI
Details
QEMU through 8.0.0 could trigger a division by zero in scsi_disk_reset in hw/scsi/scsi-disk.c because scsi_disk_emulate_mode_select does not prevent s->qdev.blocksize from being 256. This stops QEMU and the guest immediately.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-42467"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-09-11T04:15:10Z",
"severity": "MODERATE"
},
"details": "QEMU through 8.0.0 could trigger a division by zero in scsi_disk_reset in hw/scsi/scsi-disk.c because scsi_disk_emulate_mode_select does not prevent s-\u003eqdev.blocksize from being 256. This stops QEMU and the guest immediately.",
"id": "GHSA-q76v-8f8c-4c2j",
"modified": "2023-11-04T06:34:05Z",
"published": "2023-09-11T06:30:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-42467"
},
{
"type": "WEB",
"url": "https://gitlab.com/qemu-project/qemu/-/commit/7cfcc79b0ab800959716738aff9419f53fc68c9c"
},
{
"type": "WEB",
"url": "https://gitlab.com/qemu-project/qemu/-/issues/1813"
},
{
"type": "WEB",
"url": "https://gitlab.com/thuth/qemu/-/commit/3f91104484e5bf55b56d7e1b039a4a5a17d0c1a7"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20231103-0005"
}
],
"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-Q7F7-544H-67H9
Vulnerability from github – Published: 2021-08-25 14:40 – Updated: 2024-11-13 21:17
VLAI
Summary
FPE in TFLite pooling operations
Details
Impact
The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0.
Patches
We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit 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 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-2021-37684"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-24T17:13:21Z",
"nvd_published_at": "2021-08-12T23:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThe implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0.\n\n### Patches \nWe have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit 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 members of the Aivul Team from Qihoo 360.",
"id": "GHSA-q7f7-544h-67h9",
"modified": "2024-11-13T21:17:06Z",
"published": "2021-08-25T14:40:13Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q7f7-544h-67h9"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37684"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-597.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-795.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-306.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 TFLite pooling operations"
}
GHSA-Q7R2-FQ2F-675V
Vulnerability from github – Published: 2022-05-14 00:57 – Updated: 2022-05-14 00:57
VLAI
Details
An issue was discovered in Xpdf 4.01.01. There is an FPE in the function ImageStream::ImageStream at Stream.cc for nComps.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-10021"
],
"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 nComps.",
"id": "GHSA-q7r2-fq2f-675v",
"modified": "2022-05-14T00:57:26Z",
"published": "2022-05-14T00:57:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10021"
},
{
"type": "WEB",
"url": "https://forum.xpdfreader.com/viewtopic.php?f=3\u0026t=41274"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4042-1"
}
],
"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-Q94W-F7GQ-Q946
Vulnerability from github – Published: 2023-05-11 21:30 – Updated: 2024-04-04 04:02
VLAI
Details
In Xpdf 4.04 (and earlier), a bad color space object in the input PDF file can cause a divide-by-zero.
Severity
{
"affected": [],
"aliases": [
"CVE-2023-2662"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-05-11T21:15:09Z",
"severity": "MODERATE"
},
"details": "In Xpdf 4.04 (and earlier), a bad color space object in the input PDF file can cause a divide-by-zero.\n\n\n",
"id": "GHSA-q94w-f7gq-q946",
"modified": "2024-04-04T04:02:53Z",
"published": "2023-05-11T21:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2662"
},
{
"type": "WEB",
"url": "https://forum.xpdfreader.com/viewtopic.php?t=42505"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-Q9CG-7392-75CW
Vulnerability from github – Published: 2022-05-24 17:42 – Updated: 2022-05-24 17:42
VLAI
Details
Polaris Office v9.102.66 is affected by a divide-by-zero error in PolarisOffice.exe and EngineDLL.dll that may cause a local denial of service. To exploit the vulnerability, someone must open a crafted PDF file.
{
"affected": [],
"aliases": [
"CVE-2021-27550"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-02-23T15:15:00Z",
"severity": "MODERATE"
},
"details": "Polaris Office v9.102.66 is affected by a divide-by-zero error in PolarisOffice.exe and EngineDLL.dll that may cause a local denial of service. To exploit the vulnerability, someone must open a crafted PDF file.",
"id": "GHSA-q9cg-7392-75cw",
"modified": "2022-05-24T17:42:57Z",
"published": "2022-05-24T17:42:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-27550"
},
{
"type": "WEB",
"url": "https://gist.github.com/sqrtrev/1f9986d4bdd1393832c60a97b56e170a"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-QCRG-PPMG-4FM2
Vulnerability from github – Published: 2022-05-14 01:27 – Updated: 2025-04-20 03:41
VLAI
Details
The wavwritehdr function in wav.c in Sound eXchange (SoX) 14.4.2 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted snd file, during conversion to a wav file.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2017-11359"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-07-31T13:29:00Z",
"severity": "MODERATE"
},
"details": "The wavwritehdr function in wav.c in Sound eXchange (SoX) 14.4.2 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted snd file, during conversion to a wav file.",
"id": "GHSA-qcrg-ppmg-4fm2",
"modified": "2025-04-20T03:41:40Z",
"published": "2022-05-14T01:27:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-11359"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2017/11/msg00043.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2019/03/msg00007.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201810-02"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/42398"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2017/Jul/81"
}
],
"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-QCWG-RWQ9-X4XJ
Vulnerability from github – Published: 2024-09-27 15:30 – Updated: 2024-10-02 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu: Fix the warning division or modulo by zero
Checks the partition mode and returns an error for an invalid mode.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-46806"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-09-27T13:15:13Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amdgpu: Fix the warning division or modulo by zero\n\nChecks the partition mode and returns an error for an invalid mode.",
"id": "GHSA-qcwg-rwq9-x4xj",
"modified": "2024-10-02T15:30:37Z",
"published": "2024-09-27T15:30:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-46806"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1a00f2ac82d6bc6689388c7edcd2a4bd82664f3c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a01618adcba78c6bd6c4557a4a5e32f58b658cd1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d116bb921e8b104f45d1f30a473ea99ef4262b9a"
}
],
"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-QFM8-GX7G-79MV
Vulnerability from github – Published: 2022-05-14 03:36 – Updated: 2025-04-20 03:34
VLAI
Details
LibTIFF 4.0.7 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted TIFF image, related to libtiff/tif_read.c:351:22.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2016-10266"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-03-24T19:59:00Z",
"severity": "MODERATE"
},
"details": "LibTIFF 4.0.7 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted TIFF image, related to libtiff/tif_read.c:351:22.",
"id": "GHSA-qfm8-gx7g-79mv",
"modified": "2025-04-20T03:34:47Z",
"published": "2022-05-14T03:36:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10266"
},
{
"type": "WEB",
"url": "https://github.com/vadz/libtiff/commit/438274f938e046d33cb0e1230b41da32ffe223e1"
},
{
"type": "WEB",
"url": "https://blogs.gentoo.org/ago/2017/01/01/libtiff-multiple-divide-by-zero"
},
{
"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/97115"
}
],
"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-QFXP-89FR-H27X
Vulnerability from github – Published: 2026-05-06 12:30 – Updated: 2026-05-11 21:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
media: ccs: Avoid possible division by zero
Calculating maximum M for scaler configuration involves dividing by MIN_X_OUTPUT_SIZE limit register's value. Albeit the value is presumably non-zero, the driver was missing the check it in fact was. Fix this.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-43182"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-06T12:16:36Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: ccs: Avoid possible division by zero\n\nCalculating maximum M for scaler configuration involves dividing by\nMIN_X_OUTPUT_SIZE limit register\u0027s value. Albeit the value is presumably\nnon-zero, the driver was missing the check it in fact was. Fix this.",
"id": "GHSA-qfxp-89fr-h27x",
"modified": "2026-05-11T21:31:30Z",
"published": "2026-05-06T12:30:31Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43182"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/32a21ed2ad743fe2d12af48e627089b921a032c2"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/679f0b7b6a409750a25754c8833e268e5fdde742"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8ca7df18e7a58a0e5b0ed9eaaa34e16fc5cb9680"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9aae0f31d37a8facd25e37c0f0709ea08de83802"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a8ff58cc8c7514c278ba0ea2c787d4bf9eeb355d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b6e0529c300e44153fc6f3b565e28163caf1f031"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c9af1818387f5c6f543e2e02c40b3038eae86be8"
}
],
"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-QG48-85HG-MQC5
Vulnerability from github – Published: 2021-05-21 14:23 – Updated: 2024-10-31 20:52
VLAI
Summary
Division by 0 in `DenseCountSparseOutput`
Details
Impact
An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.DenseCountSparseOutput:
import tensorflow as tf
values = tf.constant([], shape=[0, 0], dtype=tf.int64)
weights = tf.constant([])
tf.raw_ops.DenseCountSparseOutput(
values=values, weights=weights,
minlength=-1, maxlength=58, binary_output=True)
This is because the implementation computes a divisor value from user data but does not check that the result is 0 before doing the division:
int num_batch_elements = 1;
for (int i = 0; i < num_batch_dimensions; ++i) {
num_batch_elements *= data.shape().dim_size(i);
}
int num_value_elements = data.shape().num_elements() / num_batch_elements;
Since data is given by the values argument, num_batch_elements is 0.
Patches
We have patched the issue in GitHub commit da5ff2daf618591f64b2b62d9d9803951b945e9f.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
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": "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": "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": "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-2021-29554"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T20:58:24Z",
"nvd_published_at": "2021-05-14T19:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nAn attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`:\n\n```python\nimport tensorflow as tf\n\nvalues = tf.constant([], shape=[0, 0], dtype=tf.int64)\nweights = tf.constant([])\n\ntf.raw_ops.DenseCountSparseOutput(\n values=values, weights=weights,\n minlength=-1, maxlength=58, binary_output=True)\n```\n \nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division:\n\n```cc\nint num_batch_elements = 1;\nfor (int i = 0; i \u003c num_batch_dimensions; ++i) {\n num_batch_elements *= data.shape().dim_size(i);\n}\nint num_value_elements = data.shape().num_elements() / num_batch_elements;\n```\n\nSince `data` is given by the `values` argument, `num_batch_elements` is 0.\n\n### Patches\nWe have patched the issue in GitHub commit [da5ff2daf618591f64b2b62d9d9803951b945e9f](https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.\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-qg48-85hg-mqc5",
"modified": "2024-10-31T20:52:11Z",
"published": "2021-05-21T14:23:55Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29554"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-482.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-680.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-191.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 `DenseCountSparseOutput`"
}
No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.