CWE-369
AllowedDivide By Zero
Abstraction: Base · Status: Draft
The product divides a value by zero.
577 vulnerabilities reference this CWE, most recent first.
GHSA-X6V9-9HH5-C5CQ
Vulnerability from github – Published: 2022-05-13 01:17 – Updated: 2025-04-20 03:44ImageMagick 7.0.6-8 Q16 mishandles EOF checks in ReadMPCImage in coders/mpc.c, leading to division by zero in GetPixelCacheTileSize in MagickCore/cache.c, allowing remote attackers to cause a denial of service via a crafted file.
{
"affected": [],
"aliases": [
"CVE-2017-14249"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-09-11T09:29:00Z",
"severity": "MODERATE"
},
"details": "ImageMagick 7.0.6-8 Q16 mishandles EOF checks in ReadMPCImage in coders/mpc.c, leading to division by zero in GetPixelCacheTileSize in MagickCore/cache.c, allowing remote attackers to cause a denial of service via a crafted file.",
"id": "GHSA-x6v9-9hh5-c5cq",
"modified": "2025-04-20T03:44:35Z",
"published": "2022-05-13T01:17:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-14249"
},
{
"type": "WEB",
"url": "https://github.com/ImageMagick/ImageMagick/issues/708"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00015.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2020/09/msg00007.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201711-07"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/3681-1"
}
],
"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-X7J7-3PW5-7MX4
Vulnerability from github – Published: 2022-05-14 03:36 – Updated: 2025-04-20 03:34LibTIFF 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_ojpeg.c:816:8.
{
"affected": [],
"aliases": [
"CVE-2016-10267"
],
"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_ojpeg.c:816:8.",
"id": "GHSA-x7j7-3pw5-7mx4",
"modified": "2025-04-20T03:34:47Z",
"published": "2022-05-14T03:36:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10267"
},
{
"type": "WEB",
"url": "https://github.com/vadz/libtiff/commit/43bc256d8ae44b92d2734a3c5bc73957a4d7c1ec"
},
{
"type": "WEB",
"url": "https://blogs.gentoo.org/ago/2017/01/01/libtiff-multiple-divide-by-zero"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201709-27"
},
{
"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/97117"
}
],
"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-X83M-P7PV-CH8V
Vulnerability from github – Published: 2021-05-21 14:23 – Updated: 2024-10-31 20:47Impact
An attacker can cause a runtime division by zero error and denial of service in tf.raw_ops.QuantizedAdd:
import tensorflow as tf
x = tf.constant([68, 228], shape=[2, 1], dtype=tf.quint8)
y = tf.constant([], shape=[2, 0], dtype=tf.quint8)
min_x = tf.constant(10.723421015884028)
max_x = tf.constant(15.19578006631113)
min_y = tf.constant(-5.539003866682977)
max_y = tf.constant(42.18819949559947)
tf.raw_ops.QuantizedAdd(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y)
This is because the implementation computes a modulo operation without validating that the divisor is not zero.
void VectorTensorAddition(const T* vector_data, float min_vector,
float max_vector, int64 vector_num_elements,
const T* tensor_data, float min_tensor,
float max_tensor, int64 tensor_num_elements,
float output_min, float output_max, Toutput* output) {
for (int i = 0; i < tensor_num_elements; ++i) {
const int64 vector_i = i % vector_num_elements;
...
}
}
Since vector_num_elements is determined based on input shapes, a user can trigger scenarios where this quantity is 0.
Patches
We have patched the issue in GitHub commit 744009c9e5cc5d0447f0dc39d055f917e1fd9e16.
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.
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"name": "tensorflow-gpu"
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"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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],
"aliases": [
"CVE-2021-29549"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T21:28:55Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nAn attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedAdd`:\n\n```python\nimport tensorflow as tf\n\nx = tf.constant([68, 228], shape=[2, 1], dtype=tf.quint8)\ny = tf.constant([], shape=[2, 0], dtype=tf.quint8)\n\nmin_x = tf.constant(10.723421015884028)\nmax_x = tf.constant(15.19578006631113)\nmin_y = tf.constant(-5.539003866682977)\nmax_y = tf.constant(42.18819949559947)\n\ntf.raw_ops.QuantizedAdd(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero.\n\n```cc\nvoid VectorTensorAddition(const T* vector_data, float min_vector,\n float max_vector, int64 vector_num_elements,\n const T* tensor_data, float min_tensor,\n float max_tensor, int64 tensor_num_elements,\n float output_min, float output_max, Toutput* output) {\n for (int i = 0; i \u003c tensor_num_elements; ++i) {\n const int64 vector_i = i % vector_num_elements;\n ...\n }\n}\n```\n\nSince `vector_num_elements` is [determined based on input shapes](https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0.\n\n### Patches\nWe have patched the issue in GitHub commit [744009c9e5cc5d0447f0dc39d055f917e1fd9e16](https://github.com/tensorflow/tensorflow/commit/744009c9e5cc5d0447f0dc39d055f917e1fd9e16).\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-x83m-p7pv-ch8v",
"modified": "2024-10-31T20:47:00Z",
"published": "2021-05-21T14:23:38Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x83m-p7pv-ch8v"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29549"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/744009c9e5cc5d0447f0dc39d055f917e1fd9e16"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-477.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-675.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-186.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 `QuantizedAdd`"
}
GHSA-X846-9RXH-MCV9
Vulnerability from github – Published: 2024-05-01 06:31 – Updated: 2025-01-14 15:30In the Linux kernel, the following vulnerability has been resolved:
drm/dp: Fix divide-by-zero regression on DP MST unplug with nouveau
Fix a regression when using nouveau and unplugging a StarTech MSTDP122DP DisplayPort 1.2 MST hub (the same regression does not appear when using a Cable Matters DisplayPort 1.4 MST hub). Trace:
divide error: 0000 [#1] PREEMPT SMP PTI CPU: 7 PID: 2962 Comm: Xorg Not tainted 6.8.0-rc3+ #744 Hardware name: Razer Blade/DANA_MB, BIOS 01.01 08/31/2018 RIP: 0010:drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper] Code: c6 b8 01 00 00 00 75 61 01 c6 41 0f af f3 41 0f af f1 c1 e1 04 48 63 c7 31 d2 89 ff 48 8b 5d f8 c9 48 0f af f1 48 8d 44 06 ff <48> f7 f7 31 d2 31 c9 31 f6 31 ff 45 31 c0 45 31 c9 45 31 d2 45 31 RSP: 0018:ffffb2c5c211fa30 EFLAGS: 00010206 RAX: ffffffffffffffff RBX: 0000000000000000 RCX: 0000000000f59b00 RDX: 0000000000000000 RSI: 0000000000000000 RDI: 0000000000000000 RBP: ffffb2c5c211fa48 R08: 0000000000000001 R09: 0000000000000020 R10: 0000000000000004 R11: 0000000000000000 R12: 0000000000023b4a R13: ffff91d37d165800 R14: ffff91d36fac6d80 R15: ffff91d34a764010 FS: 00007f4a1ca3fa80(0000) GS:ffff91d6edbc0000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 0000559491d49000 CR3: 000000011d180002 CR4: 00000000003706f0 Call Trace: ? show_regs+0x6d/0x80 ? die+0x37/0xa0 ? do_trap+0xd4/0xf0 ? do_error_trap+0x71/0xb0 ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper] ? exc_divide_error+0x3a/0x70 ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper] ? asm_exc_divide_error+0x1b/0x20 ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper] ? drm_dp_calc_pbn_mode+0x2e/0x70 [drm_display_helper] nv50_msto_atomic_check+0xda/0x120 [nouveau] drm_atomic_helper_check_modeset+0xa87/0xdf0 [drm_kms_helper] drm_atomic_helper_check+0x19/0xa0 [drm_kms_helper] nv50_disp_atomic_check+0x13f/0x2f0 [nouveau] drm_atomic_check_only+0x668/0xb20 [drm] ? drm_connector_list_iter_next+0x86/0xc0 [drm] drm_atomic_commit+0x58/0xd0 [drm] ? __pfxdrmprintfn_info+0x10/0x10 [drm] drm_atomic_connector_commit_dpms+0xd7/0x100 [drm] drm_mode_obj_set_property_ioctl+0x1c5/0x450 [drm] ? pfx_drm_connector_property_set_ioctl+0x10/0x10 [drm] drm_connector_property_set_ioctl+0x3b/0x60 [drm] drm_ioctl_kernel+0xb9/0x120 [drm] drm_ioctl+0x2d0/0x550 [drm] ? __pfx_drm_connector_property_set_ioctl+0x10/0x10 [drm] nouveau_drm_ioctl+0x61/0xc0 [nouveau] __x64_sys_ioctl+0xa0/0xf0 do_syscall_64+0x76/0x140 ? do_syscall_64+0x85/0x140 ? do_syscall_64+0x85/0x140 entry_SYSCALL_64_after_hwframe+0x6e/0x76 RIP: 0033:0x7f4a1cd1a94f Code: 00 48 89 44 24 18 31 c0 48 8d 44 24 60 c7 04 24 10 00 00 00 48 89 44 24 08 48 8d 44 24 20 48 89 44 24 10 b8 10 00 00 00 0f 05 <41> 89 c0 3d 00 f0 ff ff 77 1f 48 8b 44 24 18 64 48 2b 04 25 28 00 RSP: 002b:00007ffd2f1df520 EFLAGS: 00000246 ORIG_RAX: 0000000000000010 RAX: ffffffffffffffda RBX: 00007ffd2f1df5b0 RCX: 00007f4a1cd1a94f RDX: 00007ffd2f1df5b0 RSI: 00000000c01064ab RDI: 000000000000000f RBP: 00000000c01064ab R08: 000056347932deb8 R09: 000056347a7d99c0 R10: 0000000000000000 R11: 0000000000000246 R12: 000056347938a220 R13: 000000000000000f R14: 0000563479d9f3f0 R15: 0000000000000000 Modules linked in: rfcomm xt_conntrack nft_chain_nat xt_MASQUERADE nf_nat nf_conntrack_netlink nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 xfrm_user xfrm_algo xt_addrtype nft_compat nf_tables nfnetlink br_netfilter bridge stp llc ccm cmac algif_hash overlay algif_skcipher af_alg bnep binfmt_misc snd_sof_pci_intel_cnl snd_sof_intel_hda_common snd_soc_hdac_hda snd_sof_pci snd_sof_xtensa_dsp snd_sof_intel_hda snd_sof snd_sof_utils snd_soc_acpi_intel_match snd_soc_acpi snd_soc_core snd_compress snd_sof_intel_hda_mlink snd_hda_ext_core iwlmvm intel_rapl_msr intel_rapl_common intel_tcc_cooling x86_pkg_temp_thermal intel_powerclamp mac80211 coretemp kvm_intel snd_hda_codec_hdmi kvm snd_hda_ ---truncated---
{
"affected": [],
"aliases": [
"CVE-2024-26941"
],
"database_specific": {
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"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-01T06:15:09Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/dp: Fix divide-by-zero regression on DP MST unplug with nouveau\n\nFix a regression when using nouveau and unplugging a StarTech MSTDP122DP\nDisplayPort 1.2 MST hub (the same regression does not appear when using\na Cable Matters DisplayPort 1.4 MST hub). Trace:\n\n divide error: 0000 [#1] PREEMPT SMP PTI\n CPU: 7 PID: 2962 Comm: Xorg Not tainted 6.8.0-rc3+ #744\n Hardware name: Razer Blade/DANA_MB, BIOS 01.01 08/31/2018\n RIP: 0010:drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper]\n Code: c6 b8 01 00 00 00 75 61 01 c6 41 0f af f3 41 0f af f1 c1 e1 04 48 63 c7 31 d2 89 ff 48 8b 5d f8 c9 48 0f af f1 48 8d 44 06 ff \u003c48\u003e f7 f7 31 d2 31 c9 31 f6 31 ff 45 31 c0 45 31 c9 45 31 d2 45 31\n RSP: 0018:ffffb2c5c211fa30 EFLAGS: 00010206\n RAX: ffffffffffffffff RBX: 0000000000000000 RCX: 0000000000f59b00\n RDX: 0000000000000000 RSI: 0000000000000000 RDI: 0000000000000000\n RBP: ffffb2c5c211fa48 R08: 0000000000000001 R09: 0000000000000020\n R10: 0000000000000004 R11: 0000000000000000 R12: 0000000000023b4a\n R13: ffff91d37d165800 R14: ffff91d36fac6d80 R15: ffff91d34a764010\n FS: 00007f4a1ca3fa80(0000) GS:ffff91d6edbc0000(0000) knlGS:0000000000000000\n CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033\n CR2: 0000559491d49000 CR3: 000000011d180002 CR4: 00000000003706f0\n Call Trace:\n \u003cTASK\u003e\n ? show_regs+0x6d/0x80\n ? die+0x37/0xa0\n ? do_trap+0xd4/0xf0\n ? do_error_trap+0x71/0xb0\n ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper]\n ? exc_divide_error+0x3a/0x70\n ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper]\n ? asm_exc_divide_error+0x1b/0x20\n ? drm_dp_bw_overhead+0xb4/0x110 [drm_display_helper]\n ? drm_dp_calc_pbn_mode+0x2e/0x70 [drm_display_helper]\n nv50_msto_atomic_check+0xda/0x120 [nouveau]\n drm_atomic_helper_check_modeset+0xa87/0xdf0 [drm_kms_helper]\n drm_atomic_helper_check+0x19/0xa0 [drm_kms_helper]\n nv50_disp_atomic_check+0x13f/0x2f0 [nouveau]\n drm_atomic_check_only+0x668/0xb20 [drm]\n ? drm_connector_list_iter_next+0x86/0xc0 [drm]\n drm_atomic_commit+0x58/0xd0 [drm]\n ? __pfx___drm_printfn_info+0x10/0x10 [drm]\n drm_atomic_connector_commit_dpms+0xd7/0x100 [drm]\n drm_mode_obj_set_property_ioctl+0x1c5/0x450 [drm]\n ? __pfx_drm_connector_property_set_ioctl+0x10/0x10 [drm]\n drm_connector_property_set_ioctl+0x3b/0x60 [drm]\n drm_ioctl_kernel+0xb9/0x120 [drm]\n drm_ioctl+0x2d0/0x550 [drm]\n ? __pfx_drm_connector_property_set_ioctl+0x10/0x10 [drm]\n nouveau_drm_ioctl+0x61/0xc0 [nouveau]\n __x64_sys_ioctl+0xa0/0xf0\n do_syscall_64+0x76/0x140\n ? do_syscall_64+0x85/0x140\n ? do_syscall_64+0x85/0x140\n entry_SYSCALL_64_after_hwframe+0x6e/0x76\n RIP: 0033:0x7f4a1cd1a94f\n Code: 00 48 89 44 24 18 31 c0 48 8d 44 24 60 c7 04 24 10 00 00 00 48 89 44 24 08 48 8d 44 24 20 48 89 44 24 10 b8 10 00 00 00 0f 05 \u003c41\u003e 89 c0 3d 00 f0 ff ff 77 1f 48 8b 44 24 18 64 48 2b 04 25 28 00\n RSP: 002b:00007ffd2f1df520 EFLAGS: 00000246 ORIG_RAX: 0000000000000010\n RAX: ffffffffffffffda RBX: 00007ffd2f1df5b0 RCX: 00007f4a1cd1a94f\n RDX: 00007ffd2f1df5b0 RSI: 00000000c01064ab RDI: 000000000000000f\n RBP: 00000000c01064ab R08: 000056347932deb8 R09: 000056347a7d99c0\n R10: 0000000000000000 R11: 0000000000000246 R12: 000056347938a220\n R13: 000000000000000f R14: 0000563479d9f3f0 R15: 0000000000000000\n \u003c/TASK\u003e\n Modules linked in: rfcomm xt_conntrack nft_chain_nat xt_MASQUERADE nf_nat nf_conntrack_netlink nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 xfrm_user xfrm_algo xt_addrtype nft_compat nf_tables nfnetlink br_netfilter bridge stp llc ccm cmac algif_hash overlay algif_skcipher af_alg bnep binfmt_misc snd_sof_pci_intel_cnl snd_sof_intel_hda_common snd_soc_hdac_hda snd_sof_pci snd_sof_xtensa_dsp snd_sof_intel_hda snd_sof snd_sof_utils snd_soc_acpi_intel_match snd_soc_acpi snd_soc_core snd_compress snd_sof_intel_hda_mlink snd_hda_ext_core iwlmvm intel_rapl_msr intel_rapl_common intel_tcc_cooling x86_pkg_temp_thermal intel_powerclamp mac80211 coretemp kvm_intel snd_hda_codec_hdmi kvm snd_hda_\n---truncated---",
"id": "GHSA-x846-9rxh-mcv9",
"modified": "2025-01-14T15:30:49Z",
"published": "2024-05-01T06:31:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26941"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/828862071a6ca0c52655e6e62ac7abfef3e5c578"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9cbd1dae842737bfafa4b10a87909fa209dde250"
}
],
"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-X9W6-J9P6-2QP6
Vulnerability from github – Published: 2023-12-26 15:30 – Updated: 2024-01-05 18:30A floating point exception (divide-by-zero) vulnerability was discovered in mupdf 1.23.4 in functon pnm_binary_read_image() of load-pnm.c.
{
"affected": [],
"aliases": [
"CVE-2023-51106"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-12-26T15:15:08Z",
"severity": "HIGH"
},
"details": "A floating point exception (divide-by-zero) vulnerability was discovered in mupdf 1.23.4 in functon pnm_binary_read_image() of load-pnm.c.",
"id": "GHSA-x9w6-j9p6-2qp6",
"modified": "2024-01-05T18:30:24Z",
"published": "2023-12-26T15:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-51106"
},
{
"type": "WEB",
"url": "https://github.com/dongyuma/sox-defects/blob/main/mupdf-defects.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-XC9Q-382M-Q8GP
Vulnerability from github – Published: 2025-10-16 21:31 – Updated: 2025-10-17 15:31A divide-by-zero in VirtIO network device emulation in BitVisor from commit 108df6 (2020-05-20) to commit 480907 (2025-07-06) allows local attackers to cause a denial of service (host hypervisor crash) via a crafted PCI configuration space access.
{
"affected": [],
"aliases": [
"CVE-2025-61554"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-16T20:15:35Z",
"severity": "MODERATE"
},
"details": "A divide-by-zero in VirtIO network device emulation in BitVisor from commit 108df6 (2020-05-20) to commit 480907 (2025-07-06) allows local attackers to cause a denial of service (host hypervisor crash) via a crafted PCI configuration space access.",
"id": "GHSA-xc9q-382m-q8gp",
"modified": "2025-10-17T15:31:02Z",
"published": "2025-10-16T21:31:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-61554"
},
{
"type": "WEB",
"url": "https://github.com/retrage/advisories/blob/c20246f93edac1b8ad3c8c5e3e768d02405850c7/CVE-2025-61554/README.md"
},
{
"type": "WEB",
"url": "https://sourceforge.net/p/bitvisor/code/ci/de84887f4418fcd67945b4aa4842e035bce0dfa9"
}
],
"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-XF9V-WFX4-53C3
Vulnerability from github – Published: 2022-05-01 18:06 – Updated: 2024-02-02 03:30Media Player Classic 6.4.9.0 allows user-assisted remote attackers to cause a denial of service (web browser crash) via an "empty" .MPA file, which triggers a divide-by-zero error.
{
"affected": [],
"aliases": [
"CVE-2007-2723"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2007-05-16T22:30:00Z",
"severity": "HIGH"
},
"details": "Media Player Classic 6.4.9.0 allows user-assisted remote attackers to cause a denial of service (web browser crash) via an \"empty\" .MPA file, which triggers a divide-by-zero error.",
"id": "GHSA-xf9v-wfx4-53c3",
"modified": "2024-02-02T03:30:31Z",
"published": "2022-05-01T18:06:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2007-2723"
},
{
"type": "WEB",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/34299"
},
{
"type": "WEB",
"url": "http://osvdb.org/37376"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/468626/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/468758/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/23991"
}
],
"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-XFH5-VQX3-C7P9
Vulnerability from github – Published: 2022-03-16 00:00 – Updated: 2022-03-23 00:00Divide-by-zero in Clickhouse's Delta compression codec when parsing a malicious query. The first byte of the compressed buffer is used in a modulo operation without being checked for 0.
{
"affected": [],
"aliases": [
"CVE-2021-42389"
],
"database_specific": {
"cwe_ids": [
"CWE-369"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-03-14T23:15:00Z",
"severity": "MODERATE"
},
"details": "Divide-by-zero in Clickhouse\u0027s Delta compression codec when parsing a malicious query. The first byte of the compressed buffer is used in a modulo operation without being checked for 0.",
"id": "GHSA-xfh5-vqx3-c7p9",
"modified": "2022-03-23T00:00:46Z",
"published": "2022-03-16T00:00:50Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-42389"
},
{
"type": "WEB",
"url": "https://jfrog.com/blog/7-rce-and-dos-vulnerabilities-found-in-clickhouse-dbms"
}
],
"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"
}
]
}
GHSA-XG2M-HPW9-R98W
Vulnerability from github – Published: 2025-05-09 09:33 – Updated: 2025-11-17 15:30In 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/]
{
"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: 2022-09-16 00:00An 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.
{
"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": "2022-09-16T00:00:40Z",
"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"
}
],
"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"
}
]
}
No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.