Pillow 10.3.012.1.1 GZIP decompress bomb in FITS decoder (CVE202640192)
CVE-2026-40192 Published on April 15, 2026

Pillow is vulnerable to a FITS GZIP decompression bomb
Pillow is a Python imaging library. Versions 10.3.0 through 12.1.1 did not limit the amount of GZIP-compressed data read when decoding a FITS image, making them vulnerable to decompression bomb attacks. A specially crafted FITS file could cause unbounded memory consumption, leading to denial of service (OOM crash or severe performance degradation). If users are unable to immediately upgrade, they should only open specific image formats, excluding FITS, as a workaround.

NVD

Vulnerability Analysis

CVE-2026-40192 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 have no impact on confidentiality and integrity, and a high impact on availability.

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

Weakness Types

Allocation of Resources Without Limits or Throttling

The software allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.

What is a Resource Exhaustion Vulnerability?

The software does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

CVE-2026-40192 has been classified to as a Resource Exhaustion vulnerability or weakness.

What is a Data Amplification Vulnerability?

The software does not handle or incorrectly handles a compressed input with a very high compression ratio that produces a large output. An example of data amplification is a "decompression bomb," a small ZIP file that can produce a large amount of data when it is decompressed.

CVE-2026-40192 has been classified to as a Data Amplification vulnerability or weakness.


Products Associated with CVE-2026-40192

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2026-40192 are published in these products:

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 Maintenance
 
Red Hat Satellite Utils
 
Red Hat Ai Inference Server
 
Red Hat Enterprise Linux Ai
 
Red Hat Openshift Ai
 
Red Hat Quay
 
Red Hat Lightspeed Core
 
Red Hat Openshift Lightspeed
 
Red Hat Enterprise Linux (RHEL)
 
Oracle
 

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 Satellite 6.19 for RHEL 9: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat Ansible Automation Platform 2.6: Red Hat Ansible Automation Platform 2.6: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat Enterprise Linux AI 3.3: Red Hat OpenShift AI 2.25: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: 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 3.14: Red Hat Quay 3.15: Red Hat Quay 3.16: Red Hat Quay 3.17: Red Hat Quay 3.9: Red Hat Lightspeed Core: Red Hat OpenShift Lightspeed: Red Hat OpenShift Lightspeed: Red Hat OpenShift Lightspeed: Red Hat AI Inference Server: Red Hat AI Inference Server: Red Hat AI Inference Server: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Enterprise Linux 7: Red Hat Enterprise Linux 8: 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 OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI):

Exploit Probability

EPSS
0.67%
Percentile
48.27%

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.