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CVE-2026-54058 (GCVE-0-2026-54058)
Vulnerability from cvelistv5 – Published: 2026-07-14 16:27 – Updated: 2026-07-14 17:54- CWE-125 - Out-of-bounds Read
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/pull/9719 | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/commit/6a… | 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": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.1-23.el8_10"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "AlmaLinux:8",
"name": "python3-pillow-doc"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.1-23.el8_10"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"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:2026-09900 (CVE-2026-54058)
Vulnerability from fstec – Published: 2026-07-17 – Updated: 2026-09-01 – View on bdu.fstec.ru Exploit publicly available Fixed- CWE-125 - Чтение за границами буфера
| URL |
|---|
| https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93 |
| https://github.com/python-pillow/Pillow/releases/tag/12.3.0 |
| https://github.com/python-pillow/Pillow/pull/9719 |
| https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed9… |
| https://redos.red-soft.ru/support/secure/ |
{
"CVSS 2.0": "AV:N/AC:L/Au:N/C:C/I:N/A:C",
"CVSS 3.0": "AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"CVSS 4.0": "AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
"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": "\u041e\u041e\u041e \u00ab\u0420\u0435\u0434 \u0421\u043e\u0444\u0442\u00bb, Uploadcare, LLC",
"\u0412\u0435\u0440\u0441\u0438\u044f \u041f\u041e": "7.3 (\u0420\u0415\u0414 \u041e\u0421), 8.0 (\u0420\u0415\u0414 \u041e\u0421), \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 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044f:\n\u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 12.3.0:\nhttps://github.com/python-pillow/Pillow/releases/tag/12.3.0\n\n\u0414\u043b\u044f \u0420\u0435\u0434 \u041e\u0421: http://repo.red-soft.ru/redos/7.3c/x86_64/updates/\n\n\u0414\u043b\u044f \u0420\u0435\u0434 \u041e\u0421: http://repo.red-soft.ru/redos/8.0/x86_64/updates/",
"\u0414\u0430\u0442\u0430 \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f": "26.06.2026",
"\u0414\u0430\u0442\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0433\u043e \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f": "01.09.2026",
"\u0414\u0430\u0442\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438": "17.07.2026",
"\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": "BDU:2026-09900",
"\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-2026-54058, GHSA-62p4-gmf7-7g93",
"\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": "\u0420\u0415\u0414 \u041e\u0421 (\u0437\u0430\u043f\u0438\u0441\u044c \u0432 \u0435\u0434\u0438\u043d\u043e\u043c \u0440\u0435\u0435\u0441\u0442\u0440\u0435 \u0440\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c \u21163751), 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": "\u041e\u041e\u041e \u00ab\u0420\u0435\u0434 \u0421\u043e\u0444\u0442\u00bb \u0420\u0415\u0414 \u041e\u0421 7.3 (\u0437\u0430\u043f\u0438\u0441\u044c \u0432 \u0435\u0434\u0438\u043d\u043e\u043c \u0440\u0435\u0435\u0441\u0442\u0440\u0435 \u0440\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c \u21163751), \u041e\u041e\u041e \u00ab\u0420\u0435\u0434 \u0421\u043e\u0444\u0442\u00bb \u0420\u0415\u0414 \u041e\u0421 8.0 (\u0437\u0430\u043f\u0438\u0441\u044c \u0432 \u0435\u0434\u0438\u043d\u043e\u043c \u0440\u0435\u0435\u0441\u0442\u0440\u0435 \u0440\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c \u21163751)",
"\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 PyImaging_MapBuffer() \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430 src/map.c \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 \u0440\u0430\u0441\u043a\u0440\u044b\u0442\u044c \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u0438\u043b\u0438 \u0432\u044b\u0437\u0432\u0430\u0442\u044c \u043e\u0442\u043a\u0430\u0437 \u0432 \u043e\u0431\u0441\u043b\u0443\u0436\u0438\u0432\u0430\u043d\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": "\u0427\u0442\u0435\u043d\u0438\u0435 \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u0430\u043c\u0438 \u0431\u0443\u0444\u0435\u0440\u0430 (CWE-125)",
"\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 PyImaging_MapBuffer() \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430 src/map.c \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 \u0432\u044b\u0445\u043e\u0434\u043e\u043c \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u044b \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, \u0440\u0430\u0441\u043a\u0440\u044b\u0442\u044c \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u0438\u043b\u0438 \u0432\u044b\u0437\u0432\u0430\u0442\u044c \u043e\u0442\u043a\u0430\u0437 \u0432 \u043e\u0431\u0441\u043b\u0443\u0436\u0438\u0432\u0430\u043d\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/security/advisories/GHSA-62p4-gmf7-7g93\nhttps://github.com/python-pillow/Pillow/releases/tag/12.3.0\nhttps://github.com/python-pillow/Pillow/pull/9719\nhttps://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d\nhttps://redos.red-soft.ru/support/secure/\nhttps://redos.red-soft.ru/support/secure/",
"\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": "\u041e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430, \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-125",
"\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 9,4)\n\u041a\u0440\u0438\u0442\u0438\u0447\u0435\u0441\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 9,1)\n\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u043e\u0446\u0435\u043d\u043a\u0430 CVSS 4.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 8,3)"
}
bit-pillow-2026-54058
Vulnerability from bitnami_vulndb
Pillow is a Python imaging library. Prior to 12.3.0, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. 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:H/I:N/A:H",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2026-54058"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:python:pillow:*:*:*:*:*:python:*:*"
],
"severity": "Critical"
},
"details": "Pillow is a Python imaging library. Prior to 12.3.0, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.",
"id": "BIT-pillow-2026-54058",
"modified": "2026-09-10T15:46:03.895Z",
"published": "2026-07-19T23:50:11.633Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/pull/9719"
},
{
"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-62p4-gmf7-7g93"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
}
],
"schema_version": "1.6.2",
"summary": "Pillow: Out-of-bounds read via attacker-controlled row stride on Pillow\u0027s mmap path (McIdas AREA files)"
}
BREW-AIDER-CVE-2026-54058 (GHSA-62P4-GMF7-7G93)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-09 23:40 – Source websiteSummary
When Pillow loads an uncompressed image whose tile uses the raw codec and a mode in Image._MAPMODES, and the image was opened from a filename, it memory-maps the file and builds the image's row pointers directly into the mapping via PyImaging_MapBuffer (src/map.c). The per-row spacing (stride) is taken from the tile arguments. map.c validates offset + ysize*stride <= buffer_len but never checks that stride is at least the natural row width xsize * pixelsize.
The McIdas AREA plugin (McIdasImagePlugin.py) derives stride, offset, xsize, and ysize directly from attacker-controlled 32-bit header words with no validation. By supplying a stride far smaller than the row width, an attacker makes each row pointer read xsize*pixelsize bytes that run past the mapped region. Accessing the pixels (e.g. Image.tobytes(),
getpixel, convert, save) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service).
Complete Code Trace
Step 1: McIdasImageFile._open - turns attacker header words into image size, file offset, and row stride with no validation.
# src/PIL/McIdasImagePlugin.py:41-70
s = self.fp.read(256)
if not _accept(s) or len(s) != 256: # _accept: prefix == b"\x00\x00\x00\x00\x00\x00\x00\x04"
raise SyntaxError(...)
self.area_descriptor = w = [0, *struct.unpack("!64i", s)] # w[1..64] = signed BE int32, ALL attacker-controlled
if w[11] == 1:
mode = rawmode = "L" # pixelsize 1, in _MAPMODES
elif w[11] == 2:
mode = rawmode = "I;16B" # pixelsize 2, in _MAPMODES
...
self._mode = mode
self._size = w[10], w[9] # (xsize, ysize) <-- attacker
offset = w[34] + w[15] # <-- attacker
stride = w[15] + w[10] * w[11] * w[14] # <-- attacker (set w[14]=0, w[15]=1 => stride=1)
self.tile = [
ImageFile._Tile("raw", (0, 0) + self.size, offset, (rawmode, stride, 1))
]
Step 2: ImageFile.load (mmap branch) - selects mmap and delegates to map_buffer.
# src/PIL/ImageFile.py:322-348
if use_mmap: # use_mmap = self.filename and len(self.tile) == 1
decoder_name, extents, offset, args = self.tile[0]
if (decoder_name == "raw" and isinstance(args, tuple) and len(args) >= 3
and args[0] == self.mode and args[0] in Image._MAPMODES):
if offset < 0: # only lower-bound guard on offset
raise ValueError("Tile offset cannot be negative")
with open(self.filename) as fp:
self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ)
if offset + self.size[1] * args[1] > self.map.size(): # == offset + ysize*stride; NO stride>=linesize check
raise OSError("buffer is not large enough")
self.im = Image.core.map_buffer(
self.map, self.size, decoder_name, offset, args # args = ("L", stride, 1)
)
Step 3: PyImaging_MapBuffer - builds row pointers at stride spacing into the mmap; validates everything except stride >= row width.
/* src/map.c:65-140 */
if (!PyArg_ParseTuple(args, "O(ii)sn(sii)",
&target, &xsize, &ysize, &codec, &offset, &mode_name, &stride, &ystep))
return NULL;
...
const ModeID mode = findModeID(mode_name); /* "L" */
if (stride <= 0) { /* attacker sets stride=1 (>0) -> NOT recomputed */
if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize;
else if (isModeI16(mode)) stride = xsize * 2;
else stride = xsize * 4;
}
if (stride > 0 && ysize > PY_SSIZE_T_MAX / stride) {/* overflow guard only */
PyErr_SetString(PyExc_MemoryError, "Integer overflow in ysize"); return NULL;
}
size = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */
if (offset > PY_SSIZE_T_MAX - size) { ... }
...
if (offset + size > view.len) { /* 1 + 1 = 2 <= 256 -> PASSES */
PyErr_SetString(PyExc_ValueError, "buffer is not large enough");
PyBuffer_Release(&view); return NULL;
}
im = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance));
/* im->linesize = xsize * pixelsize = 200000 (the REAL per-row read width) */
/* setup file pointers -- NO check that stride >= im->linesize */
if (ystep > 0) {
for (y = 0; y < ysize; y++) {
im->image[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */
}
} else { ... }
im->linesize (the number of bytes any consumer reads per row) is xsize * pixelsize = 200000, but the row pointers are only stride = 1 byte apart and the buffer is only offset + ysize*stride = 2 bytes "claimed". Nothing reconciles the two.
Step 4: pixel access (Image.tobytes() → raw encoder copy1) - reads linesize bytes from im->image[0], i.e. xsize bytes starting at view.buf + offset, running far past the mmap.
/* the raw "L" packer copies linesize (=xsize) bytes per row from im->image[y];
for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */
Chain Summary
SOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path)
↓ McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -> attacker sets stride=1 [McIdasImagePlugin.py:66]
↓ tile = ("raw", (0,0,xsize,1), offset, ("L", 1, 1)) [McIdasImagePlugin.py:68]
GADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride<=len <- BUG: no stride>=linesize check [ImageFile.py:343]
↓ core.map_buffer(map, (xsize,1), "raw", offset, ("L",1,1)) [ImageFile.py:346]
SINK: PyImaging_MapBuffer: im->image[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134]
↓ Image.tobytes() raw "L" encoder reads linesize (=xsize) bytes from im->image[0]
IMPACT: reads xsize bytes from a tiny mmap -> OOB read of adjacent process memory (leak) or SIGBUS (DoS)
Proof of Concept
See attached poc.zip
Impact on a Parent Application
Any application that opens image files supplied by users from a path on disk (the common pattern: save upload to a temp file, then Image.open(path)), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed:
- Information disclosure (High): the decoded "image" contains bytes of the worker process's adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users' data.
- Denial of service (High): a larger
xsizereliably crashes the worker with SIGBUS.
Suggested fix
Core fix in src/map.c (PyImaging_MapBuffer): reject offset < 0 and stride < im->linesize. Defense-in-depth in McIdasImagePlugin._open: reject offset < 0 or stride < xsize*pixelsize .
| 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\nWhen Pillow loads an uncompressed image whose tile uses the `raw` codec and a mode in `Image._MAPMODES`, and the image was opened **from a filename**, it memory-maps the file and builds the image\u0027s row pointers directly into the mapping via `PyImaging_MapBuffer` (`src/map.c`). The per-row spacing (`stride`) is taken from the tile arguments. `map.c` validates `offset + ysize*stride \u003c= buffer_len` but **never checks that `stride` is at least the natural row width `xsize * pixelsize`**.\n\nThe **McIdas** AREA plugin (`McIdasImagePlugin.py`) derives `stride`, `offset`, `xsize`, and `ysize` directly from attacker-controlled 32-bit header words with no validation. By supplying a `stride` far smaller than the row width, an attacker makes each row pointer read `xsize*pixelsize` bytes that run past the mapped region. Accessing the pixels (e.g. `Image.tobytes()`,\n`getpixel`, `convert`, `save`) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service).\n\n\n## Complete Code Trace\n\n**Step 1: `McIdasImageFile._open`** - turns attacker header words into image size, file offset, and row stride with no validation.\n\n```python\n# src/PIL/McIdasImagePlugin.py:41-70\ns = self.fp.read(256)\nif not _accept(s) or len(s) != 256: # _accept: prefix == b\"\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x04\"\n raise SyntaxError(...)\nself.area_descriptor = w = [0, *struct.unpack(\"!64i\", s)] # w[1..64] = signed BE int32, ALL attacker-controlled\n\nif w[11] == 1:\n mode = rawmode = \"L\" # pixelsize 1, in _MAPMODES\nelif w[11] == 2:\n mode = rawmode = \"I;16B\" # pixelsize 2, in _MAPMODES\n...\nself._mode = mode\nself._size = w[10], w[9] # (xsize, ysize) \u003c-- attacker\noffset = w[34] + w[15] # \u003c-- attacker\nstride = w[15] + w[10] * w[11] * w[14] # \u003c-- attacker (set w[14]=0, w[15]=1 =\u003e stride=1)\nself.tile = [\n ImageFile._Tile(\"raw\", (0, 0) + self.size, offset, (rawmode, stride, 1))\n]\n```\n\n**Step 2: `ImageFile.load` (mmap branch)** - selects mmap and delegates to `map_buffer`.\n\n```python\n# src/PIL/ImageFile.py:322-348\nif use_mmap: # use_mmap = self.filename and len(self.tile) == 1\n decoder_name, extents, offset, args = self.tile[0]\n if (decoder_name == \"raw\" and isinstance(args, tuple) and len(args) \u003e= 3\n and args[0] == self.mode and args[0] in Image._MAPMODES):\n if offset \u003c 0: # only lower-bound guard on offset\n raise ValueError(\"Tile offset cannot be negative\")\n with open(self.filename) as fp:\n self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ)\n if offset + self.size[1] * args[1] \u003e self.map.size(): # == offset + ysize*stride; NO stride\u003e=linesize check\n raise OSError(\"buffer is not large enough\")\n self.im = Image.core.map_buffer(\n self.map, self.size, decoder_name, offset, args # args = (\"L\", stride, 1)\n )\n```\n\n**Step 3: `PyImaging_MapBuffer`** - builds row pointers at `stride` spacing into the mmap; validates everything except `stride \u003e= row width`.\n\n```c\n/* src/map.c:65-140 */\nif (!PyArg_ParseTuple(args, \"O(ii)sn(sii)\",\n \u0026target, \u0026xsize, \u0026ysize, \u0026codec, \u0026offset, \u0026mode_name, \u0026stride, \u0026ystep))\n return NULL;\n...\nconst ModeID mode = findModeID(mode_name); /* \"L\" */\n\nif (stride \u003c= 0) { /* attacker sets stride=1 (\u003e0) -\u003e NOT recomputed */\n if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize;\n else if (isModeI16(mode)) stride = xsize * 2;\n else stride = xsize * 4;\n}\n\nif (stride \u003e 0 \u0026\u0026 ysize \u003e PY_SSIZE_T_MAX / stride) {/* overflow guard only */\n PyErr_SetString(PyExc_MemoryError, \"Integer overflow in ysize\"); return NULL;\n}\nsize = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */\n\nif (offset \u003e PY_SSIZE_T_MAX - size) { ... }\n...\nif (offset + size \u003e view.len) { /* 1 + 1 = 2 \u003c= 256 -\u003e PASSES */\n PyErr_SetString(PyExc_ValueError, \"buffer is not large enough\");\n PyBuffer_Release(\u0026view); return NULL;\n}\n\nim = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance));\n/* im-\u003elinesize = xsize * pixelsize = 200000 (the REAL per-row read width) */\n\n/* setup file pointers -- NO check that stride \u003e= im-\u003elinesize */\nif (ystep \u003e 0) {\n for (y = 0; y \u003c ysize; y++) {\n im-\u003eimage[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */\n }\n} else { ... }\n```\n\n`im-\u003elinesize` (the number of bytes any consumer reads per row) is `xsize * pixelsize = 200000`, but the row pointers are only `stride = 1` byte apart and the buffer is only `offset + ysize*stride = 2` bytes \"claimed\". Nothing reconciles the two.\n\n**Step 4: pixel access (`Image.tobytes()` \u2192 raw encoder `copy1`)** - reads `linesize` bytes from `im-\u003eimage[0]`, i.e. `xsize` bytes starting at `view.buf + offset`, running far past the mmap.\n\n```c\n/* the raw \"L\" packer copies linesize (=xsize) bytes per row from im-\u003eimage[y];\n for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */\n```\n\n## Chain Summary\n\n```\nSOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path)\n \u2193 McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -\u003e attacker sets stride=1 [McIdasImagePlugin.py:66]\n \u2193 tile = (\"raw\", (0,0,xsize,1), offset, (\"L\", 1, 1)) [McIdasImagePlugin.py:68]\nGADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride\u003c=len \u003c- BUG: no stride\u003e=linesize check [ImageFile.py:343]\n \u2193 core.map_buffer(map, (xsize,1), \"raw\", offset, (\"L\",1,1)) [ImageFile.py:346]\nSINK: PyImaging_MapBuffer: im-\u003eimage[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134]\n \u2193 Image.tobytes() raw \"L\" encoder reads linesize (=xsize) bytes from im-\u003eimage[0]\nIMPACT: reads xsize bytes from a tiny mmap -\u003e OOB read of adjacent process memory (leak) or SIGBUS (DoS)\n```\n## Proof of Concept\n\nSee attached [poc.zip](https://github.com/user-attachments/files/28460498/poc.zip)\n\n\n## Impact on a Parent Application\n\nAny application that opens image files supplied by users **from a path on disk** (the common pattern: save upload to a temp file, then `Image.open(path)`), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed:\n\n- **Information disclosure (High):** the decoded \"image\" contains bytes of the worker process\u0027s adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users\u0027 data.\n- **Denial of service (High):** a larger `xsize` reliably crashes the worker with SIGBUS.\n\n## Suggested fix\nCore fix in `src/map.c` (`PyImaging_MapBuffer`): reject `offset \u003c 0` and `stride \u003c im-\u003elinesize`. Defense-in-depth in `McIdasImagePlugin._open`: reject `offset \u003c 0` or `stride \u003c xsize*pixelsize` .",
"id": "BREW-aider-CVE-2026-54058",
"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-62p4-gmf7-7g93"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/pull/9719"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d"
},
{
"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:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Pillow: Out-of-bounds read via attacker-controlled row stride on Pillow\u0027s mmap path (McIdas AREA files)",
"upstream": [
"GHSA-62p4-gmf7-7g93",
"BIT-pillow-2026-54058",
"CVE-2026-54058",
"PYSEC-2026-3493"
]
}
BREW-PILLOW-CVE-2026-54058 (CVE-2026-54058)
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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. 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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.",
"id": "BREW-pillow-CVE-2026-54058",
"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/2026/54xxx/CVE-2026-54058.json"
},
{
"type": "ADVISORY",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/pull/9719"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Pillow: Out-of-bounds read via attacker-controlled row stride on Pillow\u0027s mmap path (McIdas AREA files)",
"upstream": [
"CVE-2026-54058",
"BIT-pillow-2026-54058",
"GHSA-62p4-gmf7-7g93",
"PYSEC-2026-3493"
]
}
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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|
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{
"$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"
}
]
}
FKIE_CVE-2026-54058
Vulnerability from fkie_nvd - Published: 2026-07-14 17:17 - Updated: 2026-08-06 15:46| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d | Patch | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/pull/9719 | Issue Tracking, Patch | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/releases/tag/12.3.0 | Product, Release Notes | |
| security-advisories@github.com | https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93 | Exploit, Mitigation, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93 | Exploit, Mitigation, 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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0."
}
],
"id": "CVE-2026-54058",
"lastModified": "2026-08-06T15:46:05.867",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.3,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54058",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-14T17:53:55.907731Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-14T17:17:03.433",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/python-pillow/Pillow/pull/9719"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product",
"Release Notes"
],
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
GHSA-62P4-GMF7-7G93
Vulnerability from github – Published: 2026-07-20 21:08 – Updated: 2026-07-20 21:08Summary
When Pillow loads an uncompressed image whose tile uses the raw codec and a mode in Image._MAPMODES, and the image was opened from a filename, it memory-maps the file and builds the image's row pointers directly into the mapping via PyImaging_MapBuffer (src/map.c). The per-row spacing (stride) is taken from the tile arguments. map.c validates offset + ysize*stride <= buffer_len but never checks that stride is at least the natural row width xsize * pixelsize.
The McIdas AREA plugin (McIdasImagePlugin.py) derives stride, offset, xsize, and ysize directly from attacker-controlled 32-bit header words with no validation. By supplying a stride far smaller than the row width, an attacker makes each row pointer read xsize*pixelsize bytes that run past the mapped region. Accessing the pixels (e.g. Image.tobytes(),
getpixel, convert, save) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service).
Complete Code Trace
Step 1: McIdasImageFile._open - turns attacker header words into image size, file offset, and row stride with no validation.
# src/PIL/McIdasImagePlugin.py:41-70
s = self.fp.read(256)
if not _accept(s) or len(s) != 256: # _accept: prefix == b"\x00\x00\x00\x00\x00\x00\x00\x04"
raise SyntaxError(...)
self.area_descriptor = w = [0, *struct.unpack("!64i", s)] # w[1..64] = signed BE int32, ALL attacker-controlled
if w[11] == 1:
mode = rawmode = "L" # pixelsize 1, in _MAPMODES
elif w[11] == 2:
mode = rawmode = "I;16B" # pixelsize 2, in _MAPMODES
...
self._mode = mode
self._size = w[10], w[9] # (xsize, ysize) <-- attacker
offset = w[34] + w[15] # <-- attacker
stride = w[15] + w[10] * w[11] * w[14] # <-- attacker (set w[14]=0, w[15]=1 => stride=1)
self.tile = [
ImageFile._Tile("raw", (0, 0) + self.size, offset, (rawmode, stride, 1))
]
Step 2: ImageFile.load (mmap branch) - selects mmap and delegates to map_buffer.
# src/PIL/ImageFile.py:322-348
if use_mmap: # use_mmap = self.filename and len(self.tile) == 1
decoder_name, extents, offset, args = self.tile[0]
if (decoder_name == "raw" and isinstance(args, tuple) and len(args) >= 3
and args[0] == self.mode and args[0] in Image._MAPMODES):
if offset < 0: # only lower-bound guard on offset
raise ValueError("Tile offset cannot be negative")
with open(self.filename) as fp:
self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ)
if offset + self.size[1] * args[1] > self.map.size(): # == offset + ysize*stride; NO stride>=linesize check
raise OSError("buffer is not large enough")
self.im = Image.core.map_buffer(
self.map, self.size, decoder_name, offset, args # args = ("L", stride, 1)
)
Step 3: PyImaging_MapBuffer - builds row pointers at stride spacing into the mmap; validates everything except stride >= row width.
/* src/map.c:65-140 */
if (!PyArg_ParseTuple(args, "O(ii)sn(sii)",
&target, &xsize, &ysize, &codec, &offset, &mode_name, &stride, &ystep))
return NULL;
...
const ModeID mode = findModeID(mode_name); /* "L" */
if (stride <= 0) { /* attacker sets stride=1 (>0) -> NOT recomputed */
if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize;
else if (isModeI16(mode)) stride = xsize * 2;
else stride = xsize * 4;
}
if (stride > 0 && ysize > PY_SSIZE_T_MAX / stride) {/* overflow guard only */
PyErr_SetString(PyExc_MemoryError, "Integer overflow in ysize"); return NULL;
}
size = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */
if (offset > PY_SSIZE_T_MAX - size) { ... }
...
if (offset + size > view.len) { /* 1 + 1 = 2 <= 256 -> PASSES */
PyErr_SetString(PyExc_ValueError, "buffer is not large enough");
PyBuffer_Release(&view); return NULL;
}
im = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance));
/* im->linesize = xsize * pixelsize = 200000 (the REAL per-row read width) */
/* setup file pointers -- NO check that stride >= im->linesize */
if (ystep > 0) {
for (y = 0; y < ysize; y++) {
im->image[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */
}
} else { ... }
im->linesize (the number of bytes any consumer reads per row) is xsize * pixelsize = 200000, but the row pointers are only stride = 1 byte apart and the buffer is only offset + ysize*stride = 2 bytes "claimed". Nothing reconciles the two.
Step 4: pixel access (Image.tobytes() → raw encoder copy1) - reads linesize bytes from im->image[0], i.e. xsize bytes starting at view.buf + offset, running far past the mmap.
/* the raw "L" packer copies linesize (=xsize) bytes per row from im->image[y];
for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */
Chain Summary
SOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path)
↓ McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -> attacker sets stride=1 [McIdasImagePlugin.py:66]
↓ tile = ("raw", (0,0,xsize,1), offset, ("L", 1, 1)) [McIdasImagePlugin.py:68]
GADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride<=len <- BUG: no stride>=linesize check [ImageFile.py:343]
↓ core.map_buffer(map, (xsize,1), "raw", offset, ("L",1,1)) [ImageFile.py:346]
SINK: PyImaging_MapBuffer: im->image[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134]
↓ Image.tobytes() raw "L" encoder reads linesize (=xsize) bytes from im->image[0]
IMPACT: reads xsize bytes from a tiny mmap -> OOB read of adjacent process memory (leak) or SIGBUS (DoS)
Proof of Concept
See attached poc.zip
Impact on a Parent Application
Any application that opens image files supplied by users from a path on disk (the common pattern: save upload to a temp file, then Image.open(path)), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed:
- Information disclosure (High): the decoded "image" contains bytes of the worker process's adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users' data.
- Denial of service (High): a larger
xsizereliably crashes the worker with SIGBUS.
Suggested fix
Core fix in src/map.c (PyImaging_MapBuffer): reject offset < 0 and stride < im->linesize. Defense-in-depth in McIdasImagePlugin._open: reject offset < 0 or stride < xsize*pixelsize .
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-54058"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": true,
"github_reviewed_at": "2026-07-20T21:08:13Z",
"nvd_published_at": "2026-07-14T17:17:03Z",
"severity": "HIGH"
},
"details": "## Summary\n\nWhen Pillow loads an uncompressed image whose tile uses the `raw` codec and a mode in `Image._MAPMODES`, and the image was opened **from a filename**, it memory-maps the file and builds the image\u0027s row pointers directly into the mapping via `PyImaging_MapBuffer` (`src/map.c`). The per-row spacing (`stride`) is taken from the tile arguments. `map.c` validates `offset + ysize*stride \u003c= buffer_len` but **never checks that `stride` is at least the natural row width `xsize * pixelsize`**.\n\nThe **McIdas** AREA plugin (`McIdasImagePlugin.py`) derives `stride`, `offset`, `xsize`, and `ysize` directly from attacker-controlled 32-bit header words with no validation. By supplying a `stride` far smaller than the row width, an attacker makes each row pointer read `xsize*pixelsize` bytes that run past the mapped region. Accessing the pixels (e.g. `Image.tobytes()`,\n`getpixel`, `convert`, `save`) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service).\n\n\n## Complete Code Trace\n\n**Step 1: `McIdasImageFile._open`** - turns attacker header words into image size, file offset, and row stride with no validation.\n\n```python\n# src/PIL/McIdasImagePlugin.py:41-70\ns = self.fp.read(256)\nif not _accept(s) or len(s) != 256: # _accept: prefix == b\"\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x04\"\n raise SyntaxError(...)\nself.area_descriptor = w = [0, *struct.unpack(\"!64i\", s)] # w[1..64] = signed BE int32, ALL attacker-controlled\n\nif w[11] == 1:\n mode = rawmode = \"L\" # pixelsize 1, in _MAPMODES\nelif w[11] == 2:\n mode = rawmode = \"I;16B\" # pixelsize 2, in _MAPMODES\n...\nself._mode = mode\nself._size = w[10], w[9] # (xsize, ysize) \u003c-- attacker\noffset = w[34] + w[15] # \u003c-- attacker\nstride = w[15] + w[10] * w[11] * w[14] # \u003c-- attacker (set w[14]=0, w[15]=1 =\u003e stride=1)\nself.tile = [\n ImageFile._Tile(\"raw\", (0, 0) + self.size, offset, (rawmode, stride, 1))\n]\n```\n\n**Step 2: `ImageFile.load` (mmap branch)** - selects mmap and delegates to `map_buffer`.\n\n```python\n# src/PIL/ImageFile.py:322-348\nif use_mmap: # use_mmap = self.filename and len(self.tile) == 1\n decoder_name, extents, offset, args = self.tile[0]\n if (decoder_name == \"raw\" and isinstance(args, tuple) and len(args) \u003e= 3\n and args[0] == self.mode and args[0] in Image._MAPMODES):\n if offset \u003c 0: # only lower-bound guard on offset\n raise ValueError(\"Tile offset cannot be negative\")\n with open(self.filename) as fp:\n self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ)\n if offset + self.size[1] * args[1] \u003e self.map.size(): # == offset + ysize*stride; NO stride\u003e=linesize check\n raise OSError(\"buffer is not large enough\")\n self.im = Image.core.map_buffer(\n self.map, self.size, decoder_name, offset, args # args = (\"L\", stride, 1)\n )\n```\n\n**Step 3: `PyImaging_MapBuffer`** - builds row pointers at `stride` spacing into the mmap; validates everything except `stride \u003e= row width`.\n\n```c\n/* src/map.c:65-140 */\nif (!PyArg_ParseTuple(args, \"O(ii)sn(sii)\",\n \u0026target, \u0026xsize, \u0026ysize, \u0026codec, \u0026offset, \u0026mode_name, \u0026stride, \u0026ystep))\n return NULL;\n...\nconst ModeID mode = findModeID(mode_name); /* \"L\" */\n\nif (stride \u003c= 0) { /* attacker sets stride=1 (\u003e0) -\u003e NOT recomputed */\n if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize;\n else if (isModeI16(mode)) stride = xsize * 2;\n else stride = xsize * 4;\n}\n\nif (stride \u003e 0 \u0026\u0026 ysize \u003e PY_SSIZE_T_MAX / stride) {/* overflow guard only */\n PyErr_SetString(PyExc_MemoryError, \"Integer overflow in ysize\"); return NULL;\n}\nsize = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */\n\nif (offset \u003e PY_SSIZE_T_MAX - size) { ... }\n...\nif (offset + size \u003e view.len) { /* 1 + 1 = 2 \u003c= 256 -\u003e PASSES */\n PyErr_SetString(PyExc_ValueError, \"buffer is not large enough\");\n PyBuffer_Release(\u0026view); return NULL;\n}\n\nim = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance));\n/* im-\u003elinesize = xsize * pixelsize = 200000 (the REAL per-row read width) */\n\n/* setup file pointers -- NO check that stride \u003e= im-\u003elinesize */\nif (ystep \u003e 0) {\n for (y = 0; y \u003c ysize; y++) {\n im-\u003eimage[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */\n }\n} else { ... }\n```\n\n`im-\u003elinesize` (the number of bytes any consumer reads per row) is `xsize * pixelsize = 200000`, but the row pointers are only `stride = 1` byte apart and the buffer is only `offset + ysize*stride = 2` bytes \"claimed\". Nothing reconciles the two.\n\n**Step 4: pixel access (`Image.tobytes()` \u2192 raw encoder `copy1`)** - reads `linesize` bytes from `im-\u003eimage[0]`, i.e. `xsize` bytes starting at `view.buf + offset`, running far past the mmap.\n\n```c\n/* the raw \"L\" packer copies linesize (=xsize) bytes per row from im-\u003eimage[y];\n for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */\n```\n\n## Chain Summary\n\n```\nSOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path)\n \u2193 McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -\u003e attacker sets stride=1 [McIdasImagePlugin.py:66]\n \u2193 tile = (\"raw\", (0,0,xsize,1), offset, (\"L\", 1, 1)) [McIdasImagePlugin.py:68]\nGADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride\u003c=len \u003c- BUG: no stride\u003e=linesize check [ImageFile.py:343]\n \u2193 core.map_buffer(map, (xsize,1), \"raw\", offset, (\"L\",1,1)) [ImageFile.py:346]\nSINK: PyImaging_MapBuffer: im-\u003eimage[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134]\n \u2193 Image.tobytes() raw \"L\" encoder reads linesize (=xsize) bytes from im-\u003eimage[0]\nIMPACT: reads xsize bytes from a tiny mmap -\u003e OOB read of adjacent process memory (leak) or SIGBUS (DoS)\n```\n## Proof of Concept\n\nSee attached [poc.zip](https://github.com/user-attachments/files/28460498/poc.zip)\n\n\n## Impact on a Parent Application\n\nAny application that opens image files supplied by users **from a path on disk** (the common pattern: save upload to a temp file, then `Image.open(path)`), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed:\n\n- **Information disclosure (High):** the decoded \"image\" contains bytes of the worker process\u0027s adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users\u0027 data.\n- **Denial of service (High):** a larger `xsize` reliably crashes the worker with SIGBUS.\n\n## Suggested fix\nCore fix in `src/map.c` (`PyImaging_MapBuffer`): reject `offset \u003c 0` and `stride \u003c im-\u003elinesize`. Defense-in-depth in `McIdasImagePlugin._open`: reject `offset \u003c 0` or `stride \u003c xsize*pixelsize` .",
"id": "GHSA-62p4-gmf7-7g93",
"modified": "2026-07-20T21:08:14Z",
"published": "2026-07-20T21:08:13Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/pull/9719"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d"
},
{
"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:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Pillow: Out-of-bounds read via attacker-controlled row stride on Pillow\u0027s mmap path (McIdas AREA files)"
}
OESA-2026-3185 (CVE-2026-54058)
Vulnerability from osv_openeuler – Published: 2026-08-01 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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.(CVE-2026-54058)
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 5.2.0 until 12.3.0, Pillow's TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.(CVE-2026-59198)
Pillow is a Python imaging library. Prior to 12.3.0, Pillow public image coordinate APIs can trigger a native heap out-of-bounds write when given coordinates near the signed 32-bit integer limits in Image.paste(), Image.crop(), or Image.alpha_composite(). This issue is fixed in version 12.3.0.(CVE-2026-59199)
Pillow is a Python imaging library. Prior to 12.3.0, Pillow's ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform's declared output mode. This issue is fixed in version 12.3.0.(CVE-2026-59205)
| URL | Type | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python-pillow-debuginfo-10.3.0-13.oe2403sp3.aarch64.rpm",
"python-pillow-debugsource-10.3.0-13.oe2403sp3.aarch64.rpm",
"python3-pillow-10.3.0-13.oe2403sp3.aarch64.rpm",
"python3-pillow-devel-10.3.0-13.oe2403sp3.aarch64.rpm",
"python3-pillow-qt-10.3.0-13.oe2403sp3.aarch64.rpm",
"python3-pillow-tk-10.3.0-13.oe2403sp3.aarch64.rpm"
],
"noarch": [
"python3-pillow-help-10.3.0-13.oe2403sp3.noarch.rpm"
],
"src": [
"python-pillow-10.3.0-13.oe2403sp3.src.rpm"
],
"x86_64": [
"python-pillow-debuginfo-10.3.0-13.oe2403sp3.x86_64.rpm",
"python-pillow-debugsource-10.3.0-13.oe2403sp3.x86_64.rpm",
"python3-pillow-10.3.0-13.oe2403sp3.x86_64.rpm",
"python3-pillow-devel-10.3.0-13.oe2403sp3.x86_64.rpm",
"python3-pillow-qt-10.3.0-13.oe2403sp3.x86_64.rpm",
"python3-pillow-tk-10.3.0-13.oe2403sp3.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS-SP3",
"name": "python-pillow",
"purl": "pkg:rpm/openEuler/python-pillow\u0026distro=openEuler-24.03-LTS-SP3"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "10.3.0-13.oe2403sp3"
}
],
"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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.(CVE-2026-54058)\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 5.2.0 until 12.3.0, Pillow\u0026apos;s TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.(CVE-2026-59198)\n\nPillow is a Python imaging library. Prior to 12.3.0, Pillow public image coordinate APIs can trigger a native heap out-of-bounds write when given coordinates near the signed 32-bit integer limits in Image.paste(), Image.crop(), or Image.alpha_composite(). This issue is fixed in version 12.3.0.(CVE-2026-59199)\n\nPillow is a Python imaging library. Prior to 12.3.0, Pillow\u0026apos;s ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform\u0026apos;s declared output mode. This issue is fixed in version 12.3.0.(CVE-2026-59205)",
"id": "OESA-2026-3185",
"modified": "2026-08-06T11:12:03Z",
"published": "2026-08-01T11:12:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3185"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59198"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59199"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59205"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
],
"summary": "python-pillow security update",
"upstream": [
"CVE-2026-54058",
"CVE-2026-59197",
"CVE-2026-59198",
"CVE-2026-59199",
"CVE-2026-59205"
]
}
OESA-2026-3186 (CVE-2026-54058)
Vulnerability from osv_openeuler – Published: 2026-08-01 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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.(CVE-2026-54058)
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. Prior to 12.3.0, Pillow public image coordinate APIs can trigger a native heap out-of-bounds write when given coordinates near the signed 32-bit integer limits in Image.paste(), Image.crop(), or Image.alpha_composite(). This issue is fixed in version 12.3.0.(CVE-2026-59199)
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. Prior to 12.3.0, Pillow's ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform's declared output mode. This issue is fixed in version 12.3.0.(CVE-2026-59205)
| URL | Type | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python-pillow-debuginfo-10.3.0-13.oe2403sp4.aarch64.rpm",
"python-pillow-debugsource-10.3.0-13.oe2403sp4.aarch64.rpm",
"python3-pillow-10.3.0-13.oe2403sp4.aarch64.rpm",
"python3-pillow-devel-10.3.0-13.oe2403sp4.aarch64.rpm",
"python3-pillow-qt-10.3.0-13.oe2403sp4.aarch64.rpm",
"python3-pillow-tk-10.3.0-13.oe2403sp4.aarch64.rpm"
],
"noarch": [
"python3-pillow-help-10.3.0-13.oe2403sp4.noarch.rpm"
],
"src": [
"python-pillow-10.3.0-13.oe2403sp4.src.rpm"
],
"x86_64": [
"python-pillow-debuginfo-10.3.0-13.oe2403sp4.x86_64.rpm",
"python-pillow-debugsource-10.3.0-13.oe2403sp4.x86_64.rpm",
"python3-pillow-10.3.0-13.oe2403sp4.x86_64.rpm",
"python3-pillow-devel-10.3.0-13.oe2403sp4.x86_64.rpm",
"python3-pillow-qt-10.3.0-13.oe2403sp4.x86_64.rpm",
"python3-pillow-tk-10.3.0-13.oe2403sp4.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS-SP4",
"name": "python-pillow",
"purl": "pkg:rpm/openEuler/python-pillow\u0026distro=openEuler-24.03-LTS-SP4"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "10.3.0-13.oe2403sp4"
}
],
"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, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.(CVE-2026-54058)\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. Prior to 12.3.0, Pillow public image coordinate APIs can trigger a native heap out-of-bounds write when given coordinates near the signed 32-bit integer limits in Image.paste(), Image.crop(), or Image.alpha_composite(). This issue is fixed in version 12.3.0.(CVE-2026-59199)\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. Prior to 12.3.0, Pillow\u0026apos;s ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform\u0026apos;s declared output mode. This issue is fixed in version 12.3.0.(CVE-2026-59205)",
"id": "OESA-2026-3186",
"modified": "2026-08-06T11:12:03Z",
"published": "2026-08-01T11:12:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3186"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54058"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59197"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59199"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59200"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59205"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
],
"summary": "python-pillow security update",
"upstream": [
"CVE-2026-54058",
"CVE-2026-59197",
"CVE-2026-59199",
"CVE-2026-59200",
"CVE-2026-59205"
]
}
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.