Pillow is a Python imaging library. From 5.1.0 until 13.0.0, Pillow takes quadratic time to reserve PDF object identifiers when saving many frames with save_all enabled. PdfParser.next_object_id() repeatedly rebuilds and scans all previously reserved identifiers for every object. An attacker can supply a multi-frame image, including a small APNG with a large declared frame count, to an application that converts it to a multipage PDF. This can consume excessive CPU and deny service. This issue is fixed in version 13.0.0.
References
| Link | Resource |
|---|---|
| https://github.com/python-pillow/Pillow/commit/f6a852555f1a1bdff7781abf25f1a3b8bd6ce6cb | Patch |
| https://github.com/python-pillow/Pillow/releases/tag/13.0.0 | Release Notes |
| https://github.com/python-pillow/Pillow/security/advisories/GHSA-jg86-v3jv-hrpm | Exploit Patch Vendor Advisory |
| https://github.com/python-pillow/Pillow/security/advisories/GHSA-jg86-v3jv-hrpm | Exploit Patch Vendor Advisory |
Configurations
History
27 Oct 2026, 14:56
| Type | Values Removed | Values Added |
|---|---|---|
| CVSS |
v2 : v3 : |
v2 : unknown
v3 : 7.5 |
| First Time |
Python
Python pillow |
|
| References | () https://github.com/python-pillow/Pillow/commit/f6a852555f1a1bdff7781abf25f1a3b8bd6ce6cb - Patch | |
| References | () https://github.com/python-pillow/Pillow/releases/tag/13.0.0 - Release Notes | |
| References | () https://github.com/python-pillow/Pillow/security/advisories/GHSA-jg86-v3jv-hrpm - Exploit, Patch, Vendor Advisory | |
| CPE | cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:* |
20 Oct 2026, 15:17
| Type | Values Removed | Values Added |
|---|---|---|
| References | () https://github.com/python-pillow/Pillow/security/advisories/GHSA-jg86-v3jv-hrpm - |
19 Oct 2026, 22:17
| Type | Values Removed | Values Added |
|---|---|---|
| New CVE |
Information
Published : 2026-10-19 22:17
Updated : 2026-10-27 14:56
NVD link : CVE-2026-112894
Mitre link : CVE-2026-112894
CVE.ORG link : CVE-2026-112894
JSON object : View
Products Affected
python
- pillow
CWE
CWE-407
Inefficient Algorithmic Complexity
