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CERTFR-2026-AVI-1527
Vulnerability from certfr_avis - Published: 2026-11-13 - Updated: 2026-11-13
De multiples vulnérabilités ont été découvertes dans VMware Tanzu Greenplum. Elles permettent à un attaquant de provoquer un problème de sécurité non spécifié par l'éditeur.
Solutions
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
Impacted products
| Vendor | Product | Description | ||
|---|---|---|---|---|
| VMware | Tanzu Greenplum | VMWare Tanzu Greenplum versions 7.9.x antérieures à 7.9.1 | ||
| VMware | Tanzu Greenplum | VMWare Tanzu Greenplum versions antérieures à 6.34.1 |
References
| Title | Publication Time | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [
{
"description": "VMWare Tanzu Greenplum versions 7.9.x ant\u00e9rieures \u00e0 7.9.1",
"product": {
"name": "Tanzu Greenplum",
"vendor": {
"name": "VMware",
"scada": false
}
}
},
{
"description": "VMWare Tanzu Greenplum versions ant\u00e9rieures \u00e0 6.34.1",
"product": {
"name": "Tanzu Greenplum",
"vendor": {
"name": "VMware",
"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-2026-94265",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-94265"
},
{
"name": "CVE-2026-42309",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42309"
},
{
"name": "CVE-2026-96636",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96636"
},
{
"name": "CVE-2026-112392",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112392"
},
{
"name": "CVE-2026-87863",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-87863"
},
{
"name": "CVE-2026-107928",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-107928"
},
{
"name": "CVE-2026-86414",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-86414"
},
{
"name": "CVE-2026-96778",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96778"
},
{
"name": "CVE-2026-112398",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112398"
},
{
"name": "CVE-2026-96644",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96644"
},
{
"name": "CVE-2026-96637",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96637"
},
{
"name": "CVE-2026-112896",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112896"
},
{
"name": "CVE-2026-112900",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112900"
},
{
"name": "CVE-2026-112902",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112902"
},
{
"name": "CVE-2026-112397",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112397"
},
{
"name": "CVE-2026-112394",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112394"
},
{
"name": "CVE-2026-112400",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112400"
},
{
"name": "CVE-2026-96639",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96639"
},
{
"name": "CVE-2026-112395",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112395"
},
{
"name": "CVE-2026-92392",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92392"
},
{
"name": "CVE-2026-86413",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-86413"
},
{
"name": "CVE-2026-112390",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112390"
},
{
"name": "CVE-2026-96640",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96640"
},
{
"name": "CVE-2026-107929",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-107929"
},
{
"name": "CVE-2026-92389",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92389"
},
{
"name": "CVE-2026-87861",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-87861"
},
{
"name": "CVE-2026-92386",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92386"
},
{
"name": "CVE-2026-96638",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96638"
},
{
"name": "CVE-2026-112892",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112892"
},
{
"name": "CVE-2026-92387",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92387"
},
{
"name": "CVE-2026-112406",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112406"
},
{
"name": "CVE-2026-112898",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112898"
},
{
"name": "CVE-2026-112399",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112399"
},
{
"name": "CVE-2026-114501",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-114501"
},
{
"name": "CVE-2026-92391",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92391"
},
{
"name": "CVE-2026-96642",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96642"
},
{
"name": "CVE-2026-81726",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-81726"
},
{
"name": "CVE-2026-112404",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112404"
},
{
"name": "CVE-2026-112895",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112895"
},
{
"name": "CVE-2026-123817",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-123817"
},
{
"name": "CVE-2026-112901",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112901"
},
{
"name": "CVE-2026-112893",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112893"
},
{
"name": "CVE-2026-86410",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-86410"
},
{
"name": "CVE-2026-86415",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-86415"
},
{
"name": "CVE-2026-112393",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112393"
},
{
"name": "CVE-2026-112403",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112403"
},
{
"name": "CVE-2026-112894",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112894"
},
{
"name": "CVE-2026-111063",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-111063"
},
{
"name": "CVE-2026-87865",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-87865"
},
{
"name": "CVE-2026-112897",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112897"
},
{
"name": "CVE-2026-87862",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-87862"
},
{
"name": "CVE-2026-112899",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112899"
},
{
"name": "CVE-2026-96643",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96643"
},
{
"name": "CVE-2026-112396",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112396"
},
{
"name": "CVE-2026-112402",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112402"
},
{
"name": "CVE-2026-94266",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-94266"
},
{
"name": "CVE-2026-92388",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92388"
},
{
"name": "CVE-2026-86412",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-86412"
},
{
"name": "CVE-2026-111064",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-111064"
},
{
"name": "CVE-2026-112401",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112401"
},
{
"name": "CVE-2026-112391",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112391"
},
{
"name": "CVE-2026-96641",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-96641"
},
{
"name": "CVE-2026-87866",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-87866"
},
{
"name": "CVE-2026-112405",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112405"
},
{
"name": "CVE-2026-92390",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-92390"
},
{
"name": "CVE-2026-112891",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-112891"
}
],
"initial_release_date": "2026-11-13T00:00:00",
"last_revision_date": "2026-11-13T00:00:00",
"links": [],
"reference": "CERTFR-2026-AVI-1527",
"revisions": [
{
"description": "Version initiale",
"revision_date": "2026-11-13T00:00:00.000000"
}
],
"risks": [
{
"description": "Non sp\u00e9cifi\u00e9 par l\u0027\u00e9diteur"
}
],
"summary": "De multiples vuln\u00e9rabilit\u00e9s ont \u00e9t\u00e9 d\u00e9couvertes dans VMware Tanzu Greenplum. Elles permettent \u00e0 un attaquant de provoquer un probl\u00e8me de s\u00e9curit\u00e9 non sp\u00e9cifi\u00e9 par l\u0027\u00e9diteur.",
"title": "Multiples vuln\u00e9rabilit\u00e9s dans VMware Tanzu Greenplum",
"vendor_advisories": [
{
"published_at": "2026-11-12",
"title": "Bulletin de s\u00e9curit\u00e9 VMware 39592",
"url": "https://support.broadcom.com/web/ecx/support-content-notification/-/external/content/SecurityAdvisories/0/39592"
},
{
"published_at": "2026-11-12",
"title": "Bulletin de s\u00e9curit\u00e9 VMware 39593",
"url": "https://support.broadcom.com/web/ecx/support-content-notification/-/external/content/SecurityAdvisories/0/39593"
}
]
}
CVE-2026-112396 (GCVE-0-2026-112396)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:02 – Updated: 2026-10-20 16:09
VLAI
EPSS
VEX
Title
Pillow: Heap use-after-free when encoding TIFF to an in-memory buffer
Summary
Pillow is a Python imaging library. From 11.3.0 until 13.0.0, Pillow has a heap use-after-free when libtiff rejects a tag while encoding TIFF data to an in-memory buffer. When an application saves attacker-influenced TIFF tags to BytesIO, libtiff can reject a tag during encoding in ImagingLibTiffEncode; the error path then frees the output buffer without closing or clearing the TIFF handle, and later cleanup flushes through the write callback into freed memory, which can crash the process and may enable code execution. This issue is fixed in version 13.0.0.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 15:10 UTC
CWE
- CWE-416 - Use After Free
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/dc… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 11.3.0, < 13.0.0
|
{
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
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"title": "CISA ADP Vulnrichment"
}
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"vendor": "python-pillow",
"versions": [
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}
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}
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}
],
"metrics": [
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"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
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"descriptions": [
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"description": "CWE-416: Use After Free",
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"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-4rr5-89j8-mwwm"
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{
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"url": "https://github.com/python-pillow/Pillow/commit/dc95da20207827a062cfbf551ee9f6031465a8bb"
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{
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"tags": [
"x_refsource_MISC"
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"url": "https://github.com/python-pillow/Pillow/releases/tag/13.0.0"
}
],
"source": {
"advisory": "GHSA-4rr5-89j8-mwwm",
"discovery": "UNKNOWN"
},
"title": "Pillow: Heap use-after-free when encoding TIFF to an in-memory buffer"
}
},
"cveMetadata": {
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"datePublished": "2026-10-19T21:02:15.197Z",
"dateReserved": "2026-10-19T16:58:51.959Z",
"dateUpdated": "2026-10-20T16:09:21.913Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-112397 (GCVE-0-2026-112397)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:17 – Updated: 2026-10-19 21:38
VLAI
EPSS
VEX
Title
Pillow: Out-of-bounds access in _imagingmorph on a zero-width image
Summary
Pillow is a Python imaging library. Prior to 13.0.0, Pillow's ImageMorph.MorphOp.apply() can access memory before a row buffer for a zero-width image. PPM and PGM input can create an image with width zero, and the native morphology routine indexes outrow[width - 1] without rejecting that geometry. An attacker can supply such an image to an application that applies a morphology operation. This can crash the process. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-19 21:37 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/18… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
< 13.0.0
|
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"title": "CISA ADP Vulnrichment"
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"cna": {
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"metrics": [
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"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
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CVE-2026-112398 (GCVE-0-2026-112398)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:07 – Updated: 2026-10-22 21:06
VLAI
EPSS
VEX
Title
Pillow: Heap buffer overflow in FlashPix (FPX) JPEG decoding leads to code execution
Summary
Pillow is a Python imaging library. Prior to 13.0.0, Pillow's FlashPix JPEG-tile decoder can write decoded scanlines beyond the allocated tile buffer. FlashPix (FPX) JPEG decoding selects raw mode LA with two bytes per pixel, while an unrecognized JPEG mode can be decoded as JCS_UNKNOWN with four components, causing ImagingJpegDecode to write four-component scanlines into the two-byte tile buffer. An attacker can supply a crafted OLE2 FlashPix file to an application with the optional olefile dependency installed that opens or thumbnails untrusted input. This can corrupt heap memory and may allow arbitrary code execution. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-22 21:05 UTC
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/24… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
< 13.0.0
|
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CVE-2026-112399 (GCVE-0-2026-112399)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:10 – Updated: 2026-10-28 15:21
VLAI
EPSS
VEX
Title
Pillow: APNG background disposal allocates full canvas before decompression bomb check
Summary
Pillow is a Python imaging library. From 8.1.0 until 13.0.0, Pillow can allocate an APNG disposal background at the full canvas size before applying the decompression-bomb check. A crafted APNG with a small first frame, a very large declared canvas, and background disposal or first-frame OP_PREVIOUS reaches PngImageFile._seek while Image.open() positions frame zero. The full-canvas allocation occurs inside Image.open() without requiring pixel loading or frame iteration. This can exhaust memory and deny service. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-28 15:21 UTC
CWE
- CWE-789 - Memory Allocation with Excessive Size Value
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/f1… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 8.1.0, < 13.0.0
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CVE-2026-112400 (GCVE-0-2026-112400)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:12 – Updated: 2026-10-20 14:59
VLAI
EPSS
VEX
Title
Pillow: GIF seek keeps rejected size after DecompressionBombError, allowing DoS
Summary
Pillow is a Python imaging library. From 9.2.0 until 13.0.0, Pillow can retain a rejected GIF frame size after a decompression-bomb exception. In GifImageFile._seek, a crafted GIF can leave rejected dimensions stored after Image.DecompressionBombError; if an application catches that exception and continues processing the same image object, later seek or load operations allocate according to those dimensions and can exhaust memory, denying service. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 14:59 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/6f… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 9.2.0, < 13.0.0
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CVE-2026-112401 (GCVE-0-2026-112401)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:15 – Updated: 2026-10-20 16:09
VLAI
EPSS
VEX
Title
Pillow: Quadratic GIF comment concatenation allows DoS in Image.open()
Summary
Pillow is a Python imaging library. From 5.4.0 until 13.0.0, Pillow performs quadratic copying while parsing GIF comments. GifImageFile._seek() repeatedly appends immutable bytes for comment sub-blocks and multiple comment extensions, and frame zero is parsed during Image.open(). An attacker can submit a small-dimension GIF containing many comment extensions to any application that opens the file. This can consume excessive CPU and deny service before the application can inspect the image. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 15:19 UTC
CWE
- CWE-407 - Inefficient Algorithmic Complexity
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/68… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 5.4.0, < 13.0.0
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CVE-2026-112402 (GCVE-0-2026-112402)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:18 – Updated: 2026-10-19 21:37
VLAI
EPSS
VEX
Title
Pillow: Double free in ImagingScaleAffine on calloc failure via Image.transform
Summary
Pillow is a Python imaging library. Prior to 13.0.0, Pillow can double free image memory when ImagingScaleAffine encounters a selective allocation failure. The affected fast path handles Transform.EXTENT or pure scale-and-translate Transform.AFFINE operations with the default NEAREST resampling. The output image allocation must succeed while the additional per-column lookup allocation fails, after which the error path deletes image storage that later cleanup releases again. An attacker who can drive such a large Image.transform() operation under memory pressure may trigger the failure. This can crash the process and may corrupt memory. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-19 21:37 UTC
CWE
- CWE-416 - Use After Free
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/aa… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
< 13.0.0
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CVE-2026-112403 (GCVE-0-2026-112403)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:22 – Updated: 2026-10-22 21:08
VLAI
EPSS
VEX
Title
Pillow: Heap buffer overflow in ImagingJpegDecode
Summary
Pillow is a Python imaging library. Prior to 13.0.0, Pillow's JPEG decoder can write a full-width scanline into a buffer sized for a requested draft scale. ImagingJpegDecode does not verify libjpeg's actual output width and component count after scaling is requested, and an 8-bit lossless SOF3 JPEG decoded by a build linked to libjpeg-turbo 3.x can ignore the requested downscaling geometry. An attacker can supply such a JPEG to an application that uses draft() or thumbnail() to request downscaling. This can corrupt heap memory, crash the process, or potentially allow code execution. Older libjpeg-turbo 2.x and IJG builds reject the SOF3 input. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-22 21:08 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/24… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
< 13.0.0
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CVE-2026-112404 (GCVE-0-2026-112404)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:27 – Updated: 2026-10-28 15:18
VLAI
EPSS
VEX
Title
Pillow: OOB read in TiffDecode.c tile and RGBA paths leaks heap memory into pixels
Summary
Pillow is a Python imaging library. From 8.1.0 until 13.0.0, Pillow's TIFF tile and RGBA decode paths can read beyond row data produced by libtiff. In _decodeTile and the RGBA unpacker path, when Pillow and libtiff interpret duplicated PhotometricInterpretation or BitsPerSample tags differently, Pillow does not verify that the required input row fits inside the row libtiff produced, while the strip path has this validation. Loading pixels from such a crafted TIFF can expose adjacent heap data in output pixels or crash the process. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-28 15:18 UTC
CWE
- CWE-126 - Buffer Over-read
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/1d… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 8.1.0, < 13.0.0
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CVE-2026-112405 (GCVE-0-2026-112405)
Vulnerability from cvelistv5 – Published: 2026-10-19 21:29 – Updated: 2026-10-20 15:56
VLAI
EPSS
VEX
Title
Pillow: NULL pointer dereference in Image.merge via an unvalidated band 0
Summary
Pillow is a Python imaging library. From 12.0.0 until 13.0.0, Pillow's Image.merge() can dereference a null image8 plane. Validation skips the first input band, allowing a 32-bit integer or floating-point image backed by image32 storage to be merged as a narrower multiband image. A crafted IPTC file can reach this path when an application opens and loads it, or a caller can invoke Image.merge() directly with such a first band. This causes a native process crash. This issue is fixed in version 13.0.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 15:56 UTC
CWE
- CWE-476 - NULL Pointer Dereference
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/python-pillow/Pillow/security/… | x_refsource_CONFIRM |
| https://github.com/python-pillow/Pillow/commit/b6… | x_refsource_MISC |
| https://github.com/python-pillow/Pillow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| python-pillow | Pillow |
Affected:
>= 12.0.0, < 13.0.0
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"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-476",
"description": "CWE-476: NULL Pointer Dereference",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-19T21:29:53.515Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-cp9v-662q-vvx9",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-cp9v-662q-vvx9"
},
{
"name": "https://github.com/python-pillow/Pillow/commit/b6ee66e8b2c2c0932bdf65f963268d9f2927ef86",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/python-pillow/Pillow/commit/b6ee66e8b2c2c0932bdf65f963268d9f2927ef86"
},
{
"name": "https://github.com/python-pillow/Pillow/releases/tag/13.0.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/python-pillow/Pillow/releases/tag/13.0.0"
}
],
"source": {
"advisory": "GHSA-cp9v-662q-vvx9",
"discovery": "UNKNOWN"
},
"title": "Pillow: NULL pointer dereference in Image.merge via an unvalidated band 0"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-112405",
"datePublished": "2026-10-19T21:29:53.515Z",
"dateReserved": "2026-10-19T16:58:51.960Z",
"dateUpdated": "2026-10-20T15:56:29.299Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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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.
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