High 8.2Published Oct 19, 2026

CVE-2026-112392Pillow: NULL dereference in ImagingExpand via rank filters on zero-size images

Updated under an hour ago (Oct 28, 2026, 5:40 AM ET)

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It affects python-pillow Pillow and 1 other product. Add what you run to find out whether that includes you.

EPSS puts the chance of exploitation in the next 30 days at 0.59%, higher than 48% of scored CVEs.

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Every CVE for python-pillow Pillow

Exploited in the last 30 days

Pillow is a Python imaging library. Prior to 13.0.0, Pillow's rank-based filters can dereference invalid image storage for a zero-size image. ImagingExpand() allocates a non-empty output and then faults while replicating edges by reading the first pixel from empty input storage; ImagingRankFilter is never reached. An attacker can supply or cause creation of a zero-size image to an application that applies a rank, median, minimum, or maximum filter. This causes a native process crash. This issue is fixed in version 13.0.0.

CVSS: 8.2 HIGH (v4.0, CNA)CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Weakness (CWE): CWE-476
Known exploited: Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days): 0.59% (percentile 48)
Assigned by: GitHub_M
NVD analysis: Analyzed
Record last updated: Oct 20, 2026
First seen by InfoSec Signals: Oct 19, 2026

Affected products

Affected products

python-pillow Pillow python_pillow:pillow (from the name)	before 13.0.0	CNA record
python pillow python:pillow	before 13.0.0	NVD

References

References

https://github.com/python-pillow/Pillow/security/advisories/GHSA-27h8-gf7j-v5hc	x-refsource-confirm, exploit, patch, vendor-advisory
https://github.com/python-pillow/Pillow/commit/443e3130a8c11594fd0e296afad497e11e678961	x-refsource-misc, patch
https://github.com/python-pillow/Pillow/releases/tag/13.0.0	x-refsource-misc, release-notes

The CVE record on cve.org NVD's entry

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.