Description
libvips is a fast image processing library with low memory needs. Prior to version 8.18.3, libvips built without libtiff support but with ImageMagick support can overflow the combined frame height while loading a crafted multi-page TIFF through VipsForeignLoadMagick. The vulnerable calculations in libvips/foreign/magick6load.c and libvips/foreign/magick7load.c multiply the per-page Ysize by n_frames without a checked bound, which can cause a heap buffer over-read and process crash. Most package-manager builds include libtiff and do not use this affected fallback path. This issue is fixed in version 8.18.3.
Published: 2026-08-20
Score: 6.9 Medium
EPSS: n/a
KEV: No
Impact: n/a
Action: n/a
AI Analysis

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Remediation

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History

Thu, 20 Aug 2026 21:15:00 +0000

Type Values Removed Values Added
Description libvips is a fast image processing library with low memory needs. Prior to version 8.18.3, libvips built without libtiff support but with ImageMagick support can overflow the combined frame height while loading a crafted multi-page TIFF through VipsForeignLoadMagick. The vulnerable calculations in libvips/foreign/magick6load.c and libvips/foreign/magick7load.c multiply the per-page Ysize by n_frames without a checked bound, which can cause a heap buffer over-read and process crash. Most package-manager builds include libtiff and do not use this affected fallback path. This issue is fixed in version 8.18.3.
Title libvips: Possible integer overflow when reading multi-page TIFF images via ImageMagick
Weaknesses CWE-680
References
Metrics cvssV4_0

{'score': 6.9, 'vector': 'CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N'}


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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2026-08-20T21:05:38.765Z

Reserved: 2026-08-04T21:48:08.612Z

Link: CVE-2026-70651

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-08-20T21:17:08.120

Modified: 2026-08-20T21:17:08.120

Link: CVE-2026-70651

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses