Vulnerability Assessment
| Weakness |
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Bounds checking, read limits
MITRE ATT&CK
1 technique across 1 tactic: Collection The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
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Alert meAnalysisAIv1 – Jul 14, 2026
Out-of-bounds memory disclosure in Python Pillow before 12.3.0 lets an attacker who supplies a crafted McIdas AREA image file read adjacent process memory or crash the host application. When such a file is opened from a filename, header words control the raw-codec mmap row stride; setting it below the true row width causes later pixel operations (tobytes, getpixel, convert, save) to read past the mapped region. No public exploit is identified at time of analysis and it is not in CISA KEV, but the upstream fix, PR, and a regression test are public, making the flaw well documented.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N
AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:H
Primary rating from Vendor (GitHub_M).
CVSS VectorVendor: GitHub_M
Lifecycle Timeline
2DescriptionCVE.org
Pillow is a Python imaging library. Prior to 12.3.0, when Pillow loads an uncompressed McIdas AREA image from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width, causing pixel access such as Image.tobytes(), getpixel, convert, or save to read beyond the mapped region and disclose adjacent process memory or fault. This issue is fixed in version 12.3.0.
Blast Radius
ecosystem impact- 6,879 pypi packages depend on pillow (1,431 direct, 5,517 indirect)
Ecosystem-wide dependent count for version 12.3.0.
Articles & Coverage 1
Executive ViewAI
Python's Pillow image library contains a vulnerability (CVSS 8.3) enabling service disruption and sensitive data exposure through specially crafted image files. The risk affects any organization with image processing in their technology stack-from user upload handling to automated content pipelines. With no security patch currently available from the vendor, immediate mitigation steps are critical to prevent exploitation.
Within 24 hours, identify all systems running Python Pillow and determine which process untrusted image inputs; prioritize customer-facing applications and external data integration points. Within 7 days, implement immediate mitigations: restrict or block acceptance of McIdas AREA image format, enforce strict file-type validation at system entry points, and isolate image processing in sandboxed environments with minimal system permissions. Within 30 days, monitor for Pillow version 12.3.0 or later release, conduct testing in a staging environment, and schedule deployment to all affected production systems; document any interim workarounds and establish removal timelines post-patch.
Restrict or disable McIdas AREA format image acceptance; implement strict file-type validation and content inspection; isolate image processing in sandboxed environments with least-privilege access; disable image processing features if not required for operations; monitor for anomalous file upload patterns. No vendor-released patch identified at time of analysis.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
A buffer overflow occurs when a program writes more data to a memory buffer than it was allocated to hold, causing the excess data to spill into adjacent memory regions.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
libImaging/TgaRleDecode.c in Pillow 9.1.0 has a heap buffer overflow in the processing of invalid TGA image files. Rated
Denial of service in Python Pillow (versions 8.2.0 through 12.2.0) allows remote attackers to exhaust memory during JPEG
Heap out-of-bounds write in Python Pillow prior to 12.3.0 lets an attacker who controls the rank-filter size parameter c
Uncontrolled memory consumption in Python Pillow (PIL) versions 5.1.0 through 12.2.x allows a remote attacker to cause d
The package pillow 5.2.0 and before 8.3.2 are vulnerable to Regular Expression Denial of Service (ReDoS) via the getrgb
Pillow is a Python imaging library. In versions 11.2.0 to before 11.3.0, there is a heap buffer overflow when writing a
Integer overflow in the ImagingResampleHorizontal function in libImaging/Resample.c in Pillow before 3.1.1 allows remote
Python Image Library (PIL) 1.1.7 and earlier and Pillow 2.3 might allow remote attackers to execute arbitrary commands v
Pillow versions 11.0.0 through 12.x (fixed in 13.0.0) can reuse a stale native ImagingCore buffer when a multi-frame ima
Pillow through 8.2.0 and PIL (aka Python Imaging Library) through 1.1.7 allow an attacker to pass controlled parameters
An issue was discovered in Pillow before 8.1.1. Rated critical severity (CVSS 9.8), this vulnerability is remotely explo
libImaging/PcxDecode.c in Pillow before 6.2.2 has a PCX P mode buffer overflow. Rated critical severity (CVSS 9.8), this
Same weakness CWE-125 – Out-of-bounds Read
View allSame technique Buffer Overflow
View allVendor StatusVendor
SUSE
Severity: Moderate| Product | Status |
|---|---|
| SUSE Linux Enterprise Module for Package Hub 15 SP7 | Fixed |
| openSUSE Tumbleweed | Fixed |
| SUSE Linux Enterprise High Performance Computing 15 SP4-ESPOS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-ESPOS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Module for Python 3 15 SP7 | Affected |
| SUSE Linux Enterprise Server 15 SP7 | Affected |
| SUSE Linux Enterprise Desktop 15 SP7 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP7 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP7 | Affected |
| SUSE Linux Enterprise Server 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP6-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP6-LTSS | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP4 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP5 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP6 | Affected |
| SUSE Linux Enterprise Desktop 15 SP7 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP7 | Affected |
| SUSE Linux Enterprise Module for Package Hub 15 SP7 | Affected |
| SUSE Linux Enterprise Module for Python 3 15 SP7 | Affected |
| SUSE Linux Enterprise Server 15 SP7 | Affected |
| SUSE Linux Enterprise Server 16.0 | Affected |
| SUSE Linux Enterprise Server 16.1 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP7 | Affected |
| SUSE Linux Enterprise Server for SAP applications 16.0 | Affected |
| SUSE Linux Enterprise Server for SAP applications 16.1 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Module for Python 3 15 SP4 | Affected |
| SUSE Linux Enterprise Module for Python 3 15 SP5 | Affected |
| SUSE Linux Enterprise Module for Python 3 15 SP6 | Affected |
| SUSE Linux Enterprise Server 15 SP4 | Affected |
| SUSE Linux Enterprise Server 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP5 | Affected |
| SUSE Linux Enterprise Server 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP6 | Affected |
| SUSE Linux Enterprise Server 15 SP6-LTSS | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP6 | Affected |
| SUSE Manager Proxy 4.3 | Affected |
| SUSE Manager Retail Branch Server 4.3 | Affected |
| SUSE Manager Server 4.3 | Affected |
| SUSE Linux Enterprise Desktop 15 SP4 | Affected |
| SUSE Linux Enterprise Desktop 15 SP5 | Affected |
| SUSE Linux Enterprise Desktop 15 SP6 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4-ESPOS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-ESPOS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP6 | Affected |
| SUSE Linux Enterprise Module for Package Hub 15 SP6 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP4 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP5 | Affected |
| openSUSE Leap 15.3 | Affected |
| openSUSE Leap 15.4 | Affected |
| openSUSE Leap 15.5 | Affected |
| openSUSE Leap 15.6 | Affected |
EUVD-2026-43735
GHSA-62p4-gmf7-7g93
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB