Pillow 10.312.1.1: OOB Write PSD Image Load (Fixed 12.1.1)
CVE-2026-25990 Published on February 11, 2026

Pillow has an out-of-bounds write when loading PSD images
Pillow is a Python imaging library. From 10.3.0 to before 12.1.1, an out-of-bounds write may be triggered when loading a specially crafted PSD image. This vulnerability is fixed in 12.1.1.

NVD

Vulnerability Analysis

CVE-2026-25990 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
LOW
Availability Impact:
LOW

Weakness Type

What is a Memory Corruption Vulnerability?

The software writes data past the end, or before the beginning, of the intended buffer. Typically, this can result in corruption of data, a crash, or code execution. The software may modify an index or perform pointer arithmetic that references a memory location that is outside of the boundaries of the buffer. A subsequent write operation then produces undefined or unexpected results.

CVE-2026-25990 has been classified to as a Memory Corruption vulnerability or weakness.


Products Associated with CVE-2026-25990

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2026-25990 are published in these products:

Python Pillow
 
Oracle
 
Red Hat Ansible Automation Platform
 
Red Hat Ansible Automation Platform Developer
 
Red Hat Ansible Automation Platform Inside
 
Red Hat Satellite
 
Red Hat Satellite Capsule
 
Red Hat Satellite Utils
 
Red Hat Satellite Maintenance
 
Red Hat Ai Inference Server
 
Red Hat Openshift Ai
 
Red Hat Quay
 
Red Hat Openshift Lightspeed
 
Red Hat Enterprise Linux Ai
 
Red Hat Enterprise Linux (RHEL)
 

Affected Versions

python-pillow Pillow: Red Hat Ansible Automation Platform 2.5 for RHEL 8: Red Hat Ansible Automation Platform 2.5 for RHEL 9: Red Hat Ansible Automation Platform 2.6 for RHEL 9: Red Hat Satellite 6.16 for RHEL 8: Red Hat Satellite 6.16 for RHEL 9: Red Hat Satellite 6.17 for RHEL 9: Red Hat Satellite 6.18 for RHEL 9: Red Hat AI Inference Server 3.2: Red Hat AI Inference Server 3.2: Red Hat AI Inference Server 3.2: Red Hat AI Inference Server 3.3: Red Hat Ansible Automation Platform 2.5: Red Hat Ansible Automation Platform 2.6: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat Quay 3.1: Red Hat Quay 3.12: Red Hat Quay 3.15: Red Hat Quay 3.16: Red Hat Quay 3.9: Red Hat OpenShift Lightspeed: Red Hat OpenShift Lightspeed: Red Hat OpenShift Lightspeed: Red Hat AI Inference Server: Red Hat AI Inference Server: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Enterprise Linux 7: Red Hat Enterprise Linux 8: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat Satellite 6: Red Hat Satellite 6:

Exploit Probability

EPSS
0.37%
Percentile
28.65%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.