CVE-2026-96639

{"id": "CVE-2026-96639", "cveTags": [], "metrics": {"ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-96639", "role": "CISA Coordinator", "options": [{"exploitation": "none"}, {"automatable": "yes"}, {"technicalImpact": "total"}], "version": "2.0.3", "timestamp": "2026-10-29T10:51:10.443055Z"}}], "cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}]}, "affected": [{"source": "security-advisories@github.com", "affectedData": [{"vendor": "python-pillow", "product": "Pillow", "versions": [{"status": "affected", "version": ">= 11.0.0, < 13.0.0"}]}]}], "published": "2026-10-21T21:20:32.217", "references": [{"url": "https://github.com/python-pillow/Pillow/commit/78d97d994579aef81aafe123773d525f40f2522a", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/python-pillow/Pillow/pull/10105", "tags": ["Issue Tracking"], "source": "security-advisories@github.com"}, {"url": "https://github.com/python-pillow/Pillow/releases/tag/13.0.0", "tags": ["Release Notes"], "source": "security-advisories@github.com"}, {"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-v9pv-5gc8-w2m6", "tags": ["Vendor Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-125"}, {"lang": "en", "value": "CWE-787"}]}], "descriptions": [{"lang": "en", "value": "Pillow is a Python imaging library. From 11.0.0 until 13.0.0, multi-frame loaders can retain an ImagingCore allocation created for a narrow frame mode while a later frame of the same dimensions changes the logical mode and decoder tiles to wider RGB or CMYK data. ImageFile.load_prepare() reuses the stale native storage because _im is non-null without verifying that its mode and size still match. Crafted PSD, MPO, DCX, or MIC frame transitions can then write wider pixels into the narrow allocation, causing native out-of-bounds writes and crashes. The MPO path can also cause a native over-read and, in demonstrated runtime-specific profiles, command execution. This issue is fixed in version 13.0.0."}], "lastModified": "2026-10-29T11:17:39.023", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "78DC0FEB-F9A3-40AC-9CBD-26BF57DBF219", "versionEndExcluding": "13.0.0", "versionStartIncluding": "11.0.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}