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-PMPR-55FJ-R229
Vulnerability from github – Published: 2021-05-21 14:27 – Updated: 2024-11-13 16:06
VLAI
Summary
Division by zero in TFLite's implementation of `SVDF`
Details
Impact
The implementation of the SVDF TFLite operator is vulnerable to a division by zero error:
const int rank = params->rank;
...
TF_LITE_ENSURE_EQ(context, num_filters % rank, 0);
An attacker can craft a model such that params->rank would be 0.
Patches
We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.
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-2021-29598"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-17T22:33:22Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nThe implementation of the `SVDF` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102):\n\n```cc\nconst int rank = params-\u003erank;\n...\nTF_LITE_ENSURE_EQ(context, num_filters % rank, 0);\n```\n\nAn attacker can craft a model such that `params-\u003erank` would be 0.\n\n### Patches\nWe have patched the issue in GitHub commit [6841e522a3e7d48706a02e8819836e809f738682](https://github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682).\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-pmpr-55fj-r229",
"modified": "2024-11-13T16:06:54Z",
"published": "2021-05-21T14:27:58Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pmpr-55fj-r229"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29598"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-526.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-724.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-235.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102"
}
],
"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 `SVDF`"
}
GHSA-PP3Q-3FPH-XPQH
Vulnerability from github – Published: 2026-01-28 18:30 – Updated: 2026-01-29 18:31
VLAI
Details
A division-by-zero vulnerability in the flow.floor_divide() component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted input tensor with zero.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-65887"
],
"database_specific": {
"cwe_ids": [
"CWE-369",
"CWE-639"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-01-28T17:16:08Z",
"severity": "MODERATE"
},
"details": "A division-by-zero vulnerability in the flow.floor_divide() component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted input tensor with zero.",
"id": "GHSA-pp3q-3fph-xpqh",
"modified": "2026-01-29T18:31:42Z",
"published": "2026-01-28T18:30:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-65887"
},
{
"type": "WEB",
"url": "https://github.com/Oneflow-Inc/oneflow/issues/10665"
},
{
"type": "WEB",
"url": "https://github.com/Daisy2ang"
},
{
"type": "WEB",
"url": "https://github.com/Oneflow-Inc/oneflow"
},
{
"type": "WEB",
"url": "http://oneflow.com"
}
],
"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-PQ8J-2JPV-8GR6
Vulnerability from github – Published: 2025-08-06 15:31 – Updated: 2025-08-06 15:31
VLAI
Details
NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2025-23321"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-08-06T13:15:39Z",
"severity": "HIGH"
},
"details": "NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service.",
"id": "GHSA-pq8j-2jpv-8gr6",
"modified": "2025-08-06T15:31:24Z",
"published": "2025-08-06T15:31:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-23321"
},
{
"type": "WEB",
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5687"
},
{
"type": "WEB",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-23321"
}
],
"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-PW44-HM4H-4F79
Vulnerability from github – Published: 2022-09-02 00:01 – Updated: 2022-09-08 00:00
VLAI
Details
Found Linux Kernel flaw in the i740 driver. The Userspace program could pass any values to the driver through ioctl() interface. The driver doesn't check the value of 'pixclock', so it may cause a divide by zero error.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-3061"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-01T18:15:00Z",
"severity": "MODERATE"
},
"details": "Found Linux Kernel flaw in the i740 driver. The Userspace program could pass any values to the driver through ioctl() interface. The driver doesn\u0027t check the value of \u0027pixclock\u0027, so it may cause a divide by zero error.",
"id": "GHSA-pw44-hm4h-4f79",
"modified": "2022-09-08T00:00:29Z",
"published": "2022-09-02T00:01:08Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3061"
},
{
"type": "WEB",
"url": "https://git.kernel.org/pub/scm/linux/kernel/git/deller/linux-fbdev.git/commit/?id=15cf0b82271b1823fb02ab8c377badba614d95d5"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/11/msg00001.html"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2022/dsa-5257"
}
],
"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-PWCP-7WG2-65JC
Vulnerability from github – Published: 2022-05-24 17:43 – Updated: 2023-05-22 03:30
VLAI
Details
A flaw was found in ImageMagick in coders/webp.c. An attacker who submits a crafted file that is processed by ImageMagick could trigger undefined behavior in the form of math division by zero. The highest threat from this vulnerability is to system availability.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2021-20245"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-03-09T19:15:00Z",
"severity": "HIGH"
},
"details": "A flaw was found in ImageMagick in coders/webp.c. An attacker who submits a crafted file that is processed by ImageMagick could trigger undefined behavior in the form of math division by zero. The highest threat from this vulnerability is to system availability.",
"id": "GHSA-pwcp-7wg2-65jc",
"modified": "2023-05-22T03:30:15Z",
"published": "2022-05-24T17:43:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-20245"
},
{
"type": "WEB",
"url": "https://github.com/ImageMagick/ImageMagick/issues/3176"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1928943"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/06/msg00000.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2023/05/msg00020.html"
}
],
"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-PWG2-P5WP-G395
Vulnerability from github – Published: 2022-05-24 19:03 – Updated: 2022-05-24 19:03
VLAI
Details
A divide-by-zero issue was found in dwc2_handle_packet in hw/usb/hcd-dwc2.c in the hcd-dwc2 USB host controller emulation of QEMU. A malicious guest could use this flaw to crash the QEMU process on the host, resulting in a denial of service.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2020-27661"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-06-02T16:15:00Z",
"severity": "MODERATE"
},
"details": "A divide-by-zero issue was found in dwc2_handle_packet in hw/usb/hcd-dwc2.c in the hcd-dwc2 USB host controller emulation of QEMU. A malicious guest could use this flaw to crash the QEMU process on the host, resulting in a denial of service.",
"id": "GHSA-pwg2-p5wp-g395",
"modified": "2022-05-24T19:03:51Z",
"published": "2022-05-24T19:03:51Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-27661"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1890653"
},
{
"type": "WEB",
"url": "https://git.qemu.org/?p=qemu.git;a=commit;h=bea2a9e3e00b275dc40cfa09c760c715b8753e03"
},
{
"type": "WEB",
"url": "https://lists.nongnu.org/archive/html/qemu-devel/2020-10/msg04263.html"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20210720-0010"
},
{
"type": "WEB",
"url": "https://www.mail-archive.com/debian-bugs-dist@lists.debian.org/msg1770368.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-Q29R-3C7H-XRH3
Vulnerability from github – Published: 2022-03-12 00:00 – Updated: 2022-03-19 00:01
VLAI
Details
Divide By Zero error in tiffcrop in libtiff 4.3.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f8d0f9aa.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-0909"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-03-11T18:15:00Z",
"severity": "MODERATE"
},
"details": "Divide By Zero error in tiffcrop in libtiff 4.3.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f8d0f9aa.",
"id": "GHSA-q29r-3c7h-xrh3",
"modified": "2022-03-19T00:01:14Z",
"published": "2022-03-12T00:00:31Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0909"
},
{
"type": "WEB",
"url": "https://gitlab.com/gitlab-org/cves/-/blob/master/2022/CVE-2022-0909.json"
},
{
"type": "WEB",
"url": "https://gitlab.com/libtiff/libtiff/-/issues/393"
},
{
"type": "WEB",
"url": "https://gitlab.com/libtiff/libtiff/-/merge_requests/310"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/RNT2GFNRLOMKJ5KXM6JIHKBNBFDVZPD3"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZQ4E654ZYUUUQNBKYQFXNK2CV3CPWTM2"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202210-10"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20220506-0002"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2022/dsa-5108"
}
],
"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-Q4RW-J2J6-J8C5
Vulnerability from github – Published: 2022-05-14 01:57 – Updated: 2022-05-14 01:57
VLAI
Details
A SIGFPE signal is raised in the function H5D__create_chunk_file_map_hyper() of H5Dchunk.c in the HDF HDF5 through 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. It could allow a remote denial of service attack.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-17233"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-09-20T06:29:00Z",
"severity": "MODERATE"
},
"details": "A SIGFPE signal is raised in the function H5D__create_chunk_file_map_hyper() of H5Dchunk.c in the HDF HDF5 through 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. It could allow a remote denial of service attack.",
"id": "GHSA-q4rw-j2j6-j8c5",
"modified": "2022-05-14T01:57:28Z",
"published": "2022-05-14T01:57:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-17233"
},
{
"type": "WEB",
"url": "https://github.com/SegfaultMasters/covering360/tree/master/HDF5/vuln2#divided-by-zero---h5d__create_chunk_file_map_hyper_div_zero"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2023/08/msg00009.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-Q5JV-M6QW-5G37
Vulnerability from github – Published: 2022-09-16 22:11 – Updated: 2022-09-19 19:10
VLAI
Summary
TensorFlow vulnerable to floating point exception in `Conv2D`
Details
Impact
If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.
import tensorflow as tf
import numpy as np
with tf.device("CPU"): # also can be triggerred on GPU
input = np.ones([1, 0, 2, 1])
filter = np.ones([1, 1, 1, 1])
strides = ([1, 1, 1, 1])
padding = "EXPLICIT"
explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0]
data_format = "NHWC"
res = tf.raw_ops.Conv2D(
input=input,
filter=filter,
strides=strides,
padding=padding,
explicit_paddings=explicit_paddings,
data_format=data_format,
)
Patches
We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Jingyi Shi.
Severity
5.9 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
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],
"aliases": [
"CVE-2022-35996"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2022-09-16T22:11:10Z",
"nvd_published_at": "2022-09-16T23:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nIf `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\nimport numpy as np\nwith tf.device(\"CPU\"): # also can be triggerred on GPU\n input = np.ones([1, 0, 2, 1])\n filter = np.ones([1, 1, 1, 1])\n strides = ([1, 1, 1, 1])\n padding = \"EXPLICIT\"\n explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0]\n data_format = \"NHWC\"\n res = tf.raw_ops.Conv2D(\n input=input,\n filter=filter,\n strides=strides,\n padding=padding,\n explicit_paddings=explicit_paddings,\n data_format=data_format,\n )\n```\n\n### Patches\nWe have patched the issue in GitHub commit [611d80db29dd7b0cfb755772c69d60ae5bca05f9](https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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\n### Attribution\nThis vulnerability has been reported by Jingyi Shi.\n",
"id": "GHSA-q5jv-m6qw-5g37",
"modified": "2022-09-19T19:10:43Z",
"published": "2022-09-16T22:11:10Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35996"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow vulnerable to floating point exception in `Conv2D`"
}
GHSA-Q5P2-HFGH-RCQR
Vulnerability from github – Published: 2022-05-13 01:54 – Updated: 2025-04-20 03:38
VLAI
Details
imagew-cmd.c:854:45 in libimageworsener.a in ImageWorsener 1.3.1 allows remote attackers to cause a denial of service (divide-by-zero error) via a crafted image, related to imagew-api.c.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2017-9202"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-05-23T04:29:00Z",
"severity": "MODERATE"
},
"details": "imagew-cmd.c:854:45 in libimageworsener.a in ImageWorsener 1.3.1 allows remote attackers to cause a denial of service (divide-by-zero error) via a crafted image, related to imagew-api.c.",
"id": "GHSA-q5p2-hfgh-rcqr",
"modified": "2025-04-20T03:38:10Z",
"published": "2022-05-13T01:54:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9202"
},
{
"type": "WEB",
"url": "https://github.com/jsummers/imageworsener/commit/dc49c807926b96e503bd7c0dec35119eecd6c6fe"
},
{
"type": "WEB",
"url": "https://blogs.gentoo.org/ago/2017/05/20/imageworsener-multiple-vulnerabilities"
}
],
"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.