Bug 2555859 (CVE-2026-112402)

Summary:	CVE-2026-112402 pillow: pillow: Denial of service via double free during image transformation
Product:	[Other] Security Response	Reporter:	OSIDB Bzimport <bzimport>
Component:	vulnerability	Assignee:	Product Security DevOps Team <prodsec-dev>
Status:	NEW ---	QA Contact:
Severity:	high	Docs Contact:
Priority:	high
Version:	unspecified	CC:	alinfoot, anpicker, anthomas, aprice, bbrownin, cmyers, dfreiber, dnakabaa, doconnor, drow, dschmidt, dtrifiro, ebourniv, ehelms, ggainey, hasun, ikhan, ilpinto, jburrell, jfula, jlanda, jmitchel, jowilson, jpasqual, jsamir, juwatts, jwong, kaycoth, kshier, lcouzens, ltomasbo, mdellweg, mhayden, mhulan, nmoumoul, nyancey, oezr, omaciel, ometelka, osousa, pcreech, ptisnovs, rbobbitt, rchan, rhel-process-autobot, sbunciak, sdoran, simaishi, smallamp, stcannon, syedriko, tmalecek, ttakamiy, vkumar, watson-tool-maintainers, weaton, xdharmai, yguenane, ykashtan
Target Milestone:	---	Keywords:	Security
Target Release:	---
Hardware:	All
OS:	Linux
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Doc Text:	A flaw was found in Pillow. A remote attacker who can submit large image transformation operations under memory pressure can trigger improper error handling, leading to a double-free vulnerability (releasing the same memory block twice). This issue can result in an application crash, causing a Denial of Service (DoS), and may potentially lead to memory corruption.	Story Points:	---
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oVirt Team:	---	RHEL 7.3 requirements from Atomic Host:
Cloudforms Team:	---	Target Upstream Version:
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Description OSIDB Bzimport 2026-10-19 21:21:24 UTC

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.