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-3QGW-P4FM-X7GF
Vulnerability from github – Published: 2021-05-21 14:27 – Updated: 2024-10-31 21:23
VLAI
Summary
Division by zero in TFLite's convolution code
Details
Impact
TFLite's convolution code has multiple division where the divisor is controlled by the user and not checked to be non-zero. For example:
const int input_size = NumElements(input) / SizeOfDimension(input, 0);
Patches
We have patched the issue in GitHub commit ff489d95a9006be080ad14feb378f2b4dac35552.
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-2021-29594"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-17T23:07:59Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nTFLite\u0027s [convolution code](https://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc) has multiple division where the divisor is controlled by the user and not checked to be non-zero. For example:\n\n```cc \nconst int input_size = NumElements(input) / SizeOfDimension(input, 0);\n```\n\n### Patches\nWe have patched the issue in GitHub commit [ff489d95a9006be080ad14feb378f2b4dac35552](https://github.com/tensorflow/tensorflow/commit/ff489d95a9006be080ad14feb378f2b4dac35552).\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-3qgw-p4fm-x7gf",
"modified": "2024-10-31T21:23:21Z",
"published": "2021-05-21T14:27:45Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3qgw-p4fm-x7gf"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29594"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/ff489d95a9006be080ad14feb378f2b4dac35552"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-522.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-720.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-231.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc"
}
],
"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 convolution code"
}
GHSA-3W67-Q784-6W7C
Vulnerability from github – Published: 2021-05-21 14:26 – Updated: 2024-10-31 21:03
VLAI
Summary
Division by zero in TFLite's implementation of `GatherNd`
Details
Impact
The reference implementation of the GatherNd TFLite operator is vulnerable to a division by zero error:
ret.dims_to_count[i] = remain_flat_size / params_shape.Dims(i);
An attacker can craft a model such that params input would be an empty tensor. In turn, params_shape.Dims(.) would be zero, in at least one dimension.
Patches
We have patched the issue in GitHub commit 8e45822aa0b9f5df4b4c64f221e64dc930a70a9d.
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": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-29589"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T16:59:44Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nThe reference implementation of the `GatherNd` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966):\n\n```cc \nret.dims_to_count[i] = remain_flat_size / params_shape.Dims(i);\n```\n\nAn attacker can craft a model such that `params` input would be an empty tensor. In turn, `params_shape.Dims(.)` would be zero, in at least one dimension.\n\n### Patches\nWe have patched the issue in GitHub commit [8e45822aa0b9f5df4b4c64f221e64dc930a70a9d](https://github.com/tensorflow/tensorflow/commit/8e45822aa0b9f5df4b4c64f221e64dc930a70a9d).\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-3w67-q784-6w7c",
"modified": "2024-10-31T21:03:05Z",
"published": "2021-05-21T14:26:51Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3w67-q784-6w7c"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29589"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/8e45822aa0b9f5df4b4c64f221e64dc930a70a9d"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-517.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-715.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-226.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966"
}
],
"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 TFLite\u0027s implementation of `GatherNd`"
}
GHSA-3WJ6-J9C9-3MMG
Vulnerability from github – Published: 2025-06-18 12:30 – Updated: 2025-11-28 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
wifi: rtw89: 8852a: rfk: fix div 0 exception
The DPK is a kind of RF calibration whose algorithm is to fine tune parameters and calibrate, and check the result. If the result isn't good enough, it could adjust parameters and try again.
This issue is to read and show the result, but it could be a negative calibration result that causes divisor 0 and core dump. So, fix it by phy_div() that does division only if divisor isn't zero; otherwise, zero is adopted.
divide error: 0000 [#1] PREEMPT SMP NOPTI CPU: 1 PID: 728 Comm: wpa_supplicant Not tainted 5.10.114-16019-g462a1661811a #1 RIP: 0010:rtw8852a_dpk+0x14ae/0x288f [rtw89_core] RSP: 0018:ffffa9bb412a7520 EFLAGS: 00010246 RAX: 0000000000000000 RBX: 0000000000000000 RCX: 0000000000000000 RDX: 0000000000000000 RSI: 00000000000180fc RDI: ffffa141d01023c0 RBP: ffffa9bb412a76a0 R08: 0000000000001319 R09: 00000000ffffff92 R10: ffffffffc0292de3 R11: ffffffffc00d2f51 R12: 0000000000000000 R13: ffffa141d01023c0 R14: ffffffffc0290250 R15: ffffa141d0102638 FS: 00007fa99f5c2740(0000) GS:ffffa142e5e80000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 0000000013e8e010 CR3: 0000000110d2c000 CR4: 0000000000750ee0 PKRU: 55555554 Call Trace: rtw89_core_sta_add+0x95/0x9c [rtw89_core ] rtw89_ops_sta_state+0x5d/0x108 [rtw89_core ] drv_sta_state+0x115/0x66f [mac80211 ] sta_info_insert_rcu+0x45c/0x713 [mac80211 ] sta_info_insert+0xf/0x1b [mac80211 ] ieee80211_prep_connection+0x9d6/0xb0c [mac80211 ] ieee80211_mgd_auth+0x2aa/0x352 [mac80211 ] cfg80211_mlme_auth+0x160/0x1f6 [cfg80211 ] nl80211_authenticate+0x2e5/0x306 [cfg80211 ] genl_rcv_msg+0x371/0x3a1 ? nl80211_stop_sched_scan+0xe5/0xe5 [cfg80211 ] ? genl_rcv+0x36/0x36 netlink_rcv_skb+0x8a/0xf9 genl_rcv+0x28/0x36 netlink_unicast+0x27b/0x3a0 netlink_sendmsg+0x2aa/0x469 sock_sendmsg_nosec+0x49/0x4d _syssendmsg+0xe5/0x213 sys_sendmsg+0xec/0x157 ? syscall_enter_from_user_mode+0xd7/0x116 do_syscall_64+0x43/0x55 entry_SYSCALL_64_after_hwframe+0x44/0xa9 RIP: 0033:0x7fa99f6e689b
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-50178"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-06-18T11:15:48Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: rtw89: 8852a: rfk: fix div 0 exception\n\nThe DPK is a kind of RF calibration whose algorithm is to fine tune\nparameters and calibrate, and check the result. If the result isn\u0027t good\nenough, it could adjust parameters and try again.\n\nThis issue is to read and show the result, but it could be a negative\ncalibration result that causes divisor 0 and core dump. So, fix it by\nphy_div() that does division only if divisor isn\u0027t zero; otherwise,\nzero is adopted.\n\n divide error: 0000 [#1] PREEMPT SMP NOPTI\n CPU: 1 PID: 728 Comm: wpa_supplicant Not tainted 5.10.114-16019-g462a1661811a #1 \u003cHASH:d024 28\u003e\n RIP: 0010:rtw8852a_dpk+0x14ae/0x288f [rtw89_core]\n RSP: 0018:ffffa9bb412a7520 EFLAGS: 00010246\n RAX: 0000000000000000 RBX: 0000000000000000 RCX: 0000000000000000\n RDX: 0000000000000000 RSI: 00000000000180fc RDI: ffffa141d01023c0\n RBP: ffffa9bb412a76a0 R08: 0000000000001319 R09: 00000000ffffff92\n R10: ffffffffc0292de3 R11: ffffffffc00d2f51 R12: 0000000000000000\n R13: ffffa141d01023c0 R14: ffffffffc0290250 R15: ffffa141d0102638\n FS: 00007fa99f5c2740(0000) GS:ffffa142e5e80000(0000) knlGS:0000000000000000\n CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033\n CR2: 0000000013e8e010 CR3: 0000000110d2c000 CR4: 0000000000750ee0\n PKRU: 55555554\n Call Trace:\n rtw89_core_sta_add+0x95/0x9c [rtw89_core \u003cHASH:d239 29\u003e]\n rtw89_ops_sta_state+0x5d/0x108 [rtw89_core \u003cHASH:d239 29\u003e]\n drv_sta_state+0x115/0x66f [mac80211 \u003cHASH:81fe 30\u003e]\n sta_info_insert_rcu+0x45c/0x713 [mac80211 \u003cHASH:81fe 30\u003e]\n sta_info_insert+0xf/0x1b [mac80211 \u003cHASH:81fe 30\u003e]\n ieee80211_prep_connection+0x9d6/0xb0c [mac80211 \u003cHASH:81fe 30\u003e]\n ieee80211_mgd_auth+0x2aa/0x352 [mac80211 \u003cHASH:81fe 30\u003e]\n cfg80211_mlme_auth+0x160/0x1f6 [cfg80211 \u003cHASH:00cd 31\u003e]\n nl80211_authenticate+0x2e5/0x306 [cfg80211 \u003cHASH:00cd 31\u003e]\n genl_rcv_msg+0x371/0x3a1\n ? nl80211_stop_sched_scan+0xe5/0xe5 [cfg80211 \u003cHASH:00cd 31\u003e]\n ? genl_rcv+0x36/0x36\n netlink_rcv_skb+0x8a/0xf9\n genl_rcv+0x28/0x36\n netlink_unicast+0x27b/0x3a0\n netlink_sendmsg+0x2aa/0x469\n sock_sendmsg_nosec+0x49/0x4d\n ____sys_sendmsg+0xe5/0x213\n __sys_sendmsg+0xec/0x157\n ? syscall_enter_from_user_mode+0xd7/0x116\n do_syscall_64+0x43/0x55\n entry_SYSCALL_64_after_hwframe+0x44/0xa9\n RIP: 0033:0x7fa99f6e689b",
"id": "GHSA-3wj6-j9c9-3mmg",
"modified": "2025-11-28T15:30:29Z",
"published": "2025-06-18T12:30:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50178"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/065e83ac83c0c0e615b96947145c85c4bd76c09a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5abc81a138f873ab55223ec674afc3a3f945d60f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/683a4647a7a3044868cfdc14c117525091b9fa0c"
}
],
"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-3XCQ-6VJJ-WQX7
Vulnerability from github – Published: 2022-05-24 17:35 – Updated: 2022-10-01 00:00
VLAI
Details
A divide by zero issue was found to occur in libvncserver-0.9.12. A malicious client could use this flaw to send a specially crafted message that, when processed by the VNC server, would lead to a floating point exception, resulting in a denial of service.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2020-25708"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-11-27T18:15:00Z",
"severity": "HIGH"
},
"details": "A divide by zero issue was found to occur in libvncserver-0.9.12. A malicious client could use this flaw to send a specially crafted message that, when processed by the VNC server, would lead to a floating point exception, resulting in a denial of service.",
"id": "GHSA-3xcq-6vjj-wqx7",
"modified": "2022-10-01T00:00:29Z",
"published": "2022-05-24T17:35:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-25708"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1896739"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00035.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-3XQ3-W9MF-92JR
Vulnerability from github – Published: 2025-09-11 18:35 – Updated: 2026-05-12 15:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
RDMA: hfi1: fix possible divide-by-zero in find_hw_thread_mask()
The function divides number of online CPUs by num_core_siblings, and later checks the divider by zero. This implies a possibility to get and divide-by-zero runtime error. Fix it by moving the check prior to division. This also helps to save one indentation level.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-39742"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-11T17:15:36Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nRDMA: hfi1: fix possible divide-by-zero in find_hw_thread_mask()\n\nThe function divides number of online CPUs by num_core_siblings, and\nlater checks the divider by zero. This implies a possibility to get\nand divide-by-zero runtime error. Fix it by moving the check prior to\ndivision. This also helps to save one indentation level.",
"id": "GHSA-3xq3-w9mf-92jr",
"modified": "2026-05-12T15:31:06Z",
"published": "2025-09-11T18:35:51Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-39742"
},
{
"type": "WEB",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-032379.html"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1a7cf828ed861de5be1aff99e10f114b363c19d3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/31d0599a23efdbfe579bfbd1eb8f8c942f13744d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4b4317b0d758ff92ba96f4e448a8992a6fe607bf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/59f7d2138591ef8f0e4e4ab5f1ab674e8181ad3a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/89fdac333a17ed990b41565630ef4791782e02f5"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9b05e91afe948ed819bf87d7ba0fccf451ed79a6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9bba1a9994c523b44db64f63b564b4719ea2b7ef"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9d3211cb61a0773a2440d0a0698c1e6e7429f907"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ac53f377393cc85156afdc90b636e84e544a6f96"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00007.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00008.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-4256-MFGG-45JQ
Vulnerability from github – Published: 2022-05-14 01:30 – Updated: 2022-05-14 01:30
VLAI
Details
In Exiv2 0.26, a divide by zero in BigTiffImage::printIFD in bigtiffimage.cpp could result in denial of service.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-9304"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-04-04T21:29:00Z",
"severity": "MODERATE"
},
"details": "In Exiv2 0.26, a divide by zero in BigTiffImage::printIFD in bigtiffimage.cpp could result in denial of service.",
"id": "GHSA-4256-mfgg-45jq",
"modified": "2022-05-14T01:30:36Z",
"published": "2022-05-14T01:30:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-9304"
},
{
"type": "WEB",
"url": "https://github.com/Exiv2/exiv2/issues/262"
},
{
"type": "WEB",
"url": "https://github.com/xiaoqx/pocs/blob/master/exiv2/readme.md"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201811-14"
}
],
"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-428X-9XC2-M8MJ
Vulnerability from github – Published: 2022-02-09 23:47 – Updated: 2024-11-13 22:34
VLAI
Summary
Division by zero in TFLite
Details
Impact
An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions.
The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is stricly positive.
Patches
We have patched the issue in GitHub commit e5b0eec199c2d03de54fd6a7fd9275692218e2bc.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.5.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.7.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.5.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.7.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.5.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.7.0"
]
}
],
"aliases": [
"CVE-2022-21741"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2022-02-03T20:16:37Z",
"nvd_published_at": "2022-02-03T15:15:00Z",
"severity": "HIGH"
},
"details": "### Impact \nAn attacker can craft a TFLite model that would trigger a division by zero in [the implementation of depthwise convolutions](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96).\n\nThe parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is stricly positive.\n\n### Patches \nWe have patched the issue in GitHub commit [e5b0eec199c2d03de54fd6a7fd9275692218e2bc](https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc).\n \nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.",
"id": "GHSA-428x-9xc2-m8mj",
"modified": "2024-11-13T22:34:19Z",
"published": "2022-02-09T23:47:30Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-428x-9xc2-m8mj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21741"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-65.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-120.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96"
}
],
"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:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Division by zero in TFLite"
}
GHSA-42CX-QWH9-C3XJ
Vulnerability from github – Published: 2022-05-01 18:01 – Updated: 2024-02-02 03:30
VLAI
Details
Microsoft Windows Graphics Device Interface (GDI+, GdiPlus.dll) allows context-dependent attackers to cause a denial of service (crash) via an ICO file with an InfoHeader containing a Height of zero, which triggers a divide-by-zero error.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2007-2237"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2007-06-06T20:30:00Z",
"severity": "HIGH"
},
"details": "Microsoft Windows Graphics Device Interface (GDI+, GdiPlus.dll) allows context-dependent attackers to cause a denial of service (crash) via an ICO file with an InfoHeader containing a Height of zero, which triggers a divide-by-zero error.",
"id": "GHSA-42cx-qwh9-c3xj",
"modified": "2024-02-02T03:30:31Z",
"published": "2022-05-01T18:01:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2007-2237"
},
{
"type": "WEB",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/34743"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/4044"
},
{
"type": "WEB",
"url": "http://osvdb.org/38494"
},
{
"type": "WEB",
"url": "http://www.csis.dk/dk/forside/GdiPlus.pdf"
},
{
"type": "WEB",
"url": "http://www.kb.cert.org/vuls/id/290961"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/470746/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/24346"
},
{
"type": "WEB",
"url": "http://www.securitytracker.com/id?1018202"
},
{
"type": "WEB",
"url": "http://www.vupen.com/english/advisories/2007/2083"
}
],
"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-42XG-W685-8874
Vulnerability from github – Published: 2026-05-28 12:30 – Updated: 2026-06-11 03:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
sound: ua101: fix division by zero at probe
Add a missing sanity check for bNrChannels in detect_usb_format() to prevent a division by zero in playback_urb_complete() and capture_urb_complete().
USB core does not validate class-specific descriptor fields such as bNrChannels, so drivers must verify them before use. If a device provides bNrChannels = 0, frame_bytes becomes zero and is later used as a divisor in the URB completion handlers, leading to a kernel crash.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-46184"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-28T10:16:34Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nsound: ua101: fix division by zero at probe\n\nAdd a missing sanity check for bNrChannels in detect_usb_format()\nto prevent a division by zero in playback_urb_complete() and\ncapture_urb_complete().\n\nUSB core does not validate class-specific descriptor fields such\nas bNrChannels, so drivers must verify them before use. If a\ndevice provides bNrChannels = 0, frame_bytes becomes zero and is\nlater used as a divisor in the URB completion handlers, leading\nto a kernel crash.",
"id": "GHSA-42xg-w685-8874",
"modified": "2026-06-11T03:30:23Z",
"published": "2026-05-28T12:30:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-46184"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0ff2b713f406e9ecadb406014d74e7a020ac12b1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/593dd7e6c890d8e4ca21b3e2f796b7cb8e8da983"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6162e8212e88c39492d981b248b5e37002486c66"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/66d9c2ed081f299cfb201d9e9c4faf920e56e0bf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/aae1498c59f48d03ee358df84f07a5af9885f827"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d1f73f169c1014463b5060e3f60813e13ddc7b87"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e02897c5b041c9b980055fa9a6167023d6dc5caf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f1862dbf09080254c52175a448290c784dd7d3de"
}
],
"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-43CG-F93F-9JHX
Vulnerability from github – Published: 2026-06-03 15:30 – Updated: 2026-06-29 21:31
VLAI
Details
A divide-by-zero vulnerability in the ext4_block_set_lb_size function in src/ext4_blockdev.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by providing a malformed ext4 filesystem image that results in a zero logical block size. The vulnerability is triggered during mount or image processing and leads to a Floating-Point Exception (FPE) under sanitizers or a runtime crash in standard builds due to missing validation of lb_size.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-70100"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-03T14:16:31Z",
"severity": "MODERATE"
},
"details": "A divide-by-zero vulnerability in the ext4_block_set_lb_size function in src/ext4_blockdev.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by providing a malformed ext4 filesystem image that results in a zero logical block size. The vulnerability is triggered during mount or image processing and leads to a Floating-Point Exception (FPE) under sanitizers or a runtime crash in standard builds due to missing validation of lb_size.",
"id": "GHSA-43cg-f93f-9jhx",
"modified": "2026-06-29T21:31:55Z",
"published": "2026-06-03T15:30:42Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-70100"
},
{
"type": "WEB",
"url": "https://github.com/gkostka/lwext4/issues/90"
},
{
"type": "WEB",
"url": "https://github.com/sigdevel/pocs/blob/main/res/lwext4/2/sig8_2_lwext4_ext4_blockdev_c_127"
},
{
"type": "WEB",
"url": "https://infosec.exchange/@sigdevel/116668952003072580"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/06/29/5"
}
],
"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"
}
]
}
No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.