The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2026-30931

CVE-2026-30931: ImageMagick Buffer Overflow Vulnerability

CVE-2026-30931 is a heap-based buffer overflow in ImageMagick's UHDR encoder that enables out-of-bounds writes. This article covers the technical details, affected versions, security impact, and mitigation strategies.

Published: March 13, 2026

CVE-2026-30931 Overview

A heap-based buffer overflow vulnerability has been identified in ImageMagick, the widely-used open-source software for editing and manipulating digital images. This vulnerability exists in the UHDR encoder component and occurs due to improper truncation of a value, which can result in an out-of-bounds write condition. Successful exploitation could allow attackers to corrupt memory, potentially leading to denial of service or limited integrity impacts on systems processing malicious image files.

Critical Impact

Local attackers can exploit the heap-based buffer overflow in the UHDR encoder to cause denial of service through memory corruption, with potential for limited integrity compromise on vulnerable ImageMagick installations.

Affected Products

  • ImageMagick versions prior to 7.1.2-16

Discovery Timeline

  • 2026-03-10 - CVE-2026-30931 published to NVD
  • 2026-03-11 - Last updated in NVD database

Technical Details for CVE-2026-30931

Vulnerability Analysis

This vulnerability is classified as CWE-122 (Heap-based Buffer Overflow), a memory corruption flaw that occurs when a program writes data beyond the allocated boundary of a heap buffer. In the context of ImageMagick's UHDR encoder, the vulnerability stems from improper handling of value truncation during the encoding process.

The UHDR (Ultra HDR) encoder processes image data and performs calculations that involve type conversions. When a value is truncated improperly—typically when a larger data type is converted to a smaller one without proper bounds checking—the resulting value can be significantly different from the original. This incorrect value is then used to determine write boundaries, allowing data to be written outside the intended heap buffer allocation.

The attack requires local access to the target system, as an attacker would need to provide a specially crafted image file to ImageMagick for processing. While no user interaction is required once the malicious file reaches the processing pipeline, the local attack vector limits the exposure compared to remotely exploitable vulnerabilities.

Root Cause

The root cause of this vulnerability lies in numeric truncation errors within the UHDR encoder's processing logic. When handling image encoding operations, the code performs arithmetic or type conversions that result in value truncation. This truncated value is subsequently used in memory allocation or boundary calculations, creating a mismatch between the expected buffer size and the actual data being written. The insufficient validation of truncated values before use in memory operations allows heap corruption to occur.

Attack Vector

The attack vector requires local access to the vulnerable system. An attacker would craft a malicious image file designed to trigger the truncation condition in the UHDR encoder. When ImageMagick processes this file—whether through direct command-line invocation, library API calls, or web application image processing pipelines—the heap-based buffer overflow is triggered.

The vulnerability mechanism can be described as follows: during UHDR encoding, a size or offset value undergoes truncation, resulting in an incorrect smaller value. When this value is used to control write operations, the encoder writes data past the allocated heap buffer boundary. This out-of-bounds write can corrupt adjacent heap metadata or application data, potentially causing denial of service through application crashes or memory corruption that affects application integrity.

For detailed technical analysis, refer to the GitHub Security Advisory.

Detection Methods for CVE-2026-30931

Indicators of Compromise

  • Unexpected ImageMagick process crashes or segmentation faults during UHDR image encoding operations
  • Abnormal memory consumption patterns in ImageMagick processes handling image conversions
  • Application logs showing heap corruption or memory allocation failures during image processing
  • Core dumps or crash reports referencing UHDR encoder functions

Detection Strategies

  • Monitor ImageMagick process behavior for abnormal termination signals (SIGSEGV, SIGABRT) during image encoding operations
  • Implement file integrity monitoring to detect potentially malicious image files targeting the UHDR encoder
  • Deploy runtime application self-protection (RASP) solutions to detect heap overflow attempts
  • Use memory sanitizers (AddressSanitizer, Valgrind) in development and testing environments to identify heap corruption

Monitoring Recommendations

  • Configure centralized logging for ImageMagick operations and monitor for encoding failures
  • Set up alerts for unusual patterns of ImageMagick crashes or restarts
  • Monitor system resources (memory usage, CPU) for anomalies during image processing workloads
  • Implement network monitoring to detect potentially malicious image file uploads in web applications using ImageMagick

How to Mitigate CVE-2026-30931

Immediate Actions Required

  • Upgrade ImageMagick to version 7.1.2-16 or later immediately
  • Audit systems to identify all ImageMagick installations across your environment
  • Review and restrict file upload capabilities in web applications using ImageMagick for image processing
  • Consider temporarily disabling UHDR encoding functionality if an immediate upgrade is not possible

Patch Information

This vulnerability is fixed in ImageMagick version 7.1.2-16. Organizations should upgrade to this version or later to remediate the heap-based buffer overflow in the UHDR encoder. The fix addresses the value truncation issue by implementing proper bounds checking before memory write operations.

Patch details and source code changes are available in the GitHub Security Advisory.

Workarounds

  • Disable UHDR encoding capabilities through ImageMagick policy configuration if upgrading is not immediately feasible
  • Implement strict input validation for image files before processing with ImageMagick
  • Use sandboxing or containerization to isolate ImageMagick processes from critical system resources
  • Configure ImageMagick resource limits to minimize the impact of potential memory corruption
bash
# Configuration example - Disable UHDR encoding in policy.xml
# Location: /etc/ImageMagick-7/policy.xml or similar
# Add the following policy to restrict UHDR coder usage

<policy domain="coder" rights="none" pattern="UHDR" />

# Verify ImageMagick version after upgrade
convert -version | grep Version

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechImagemagick

  • SeverityMEDIUM

  • CVSS Score6.8

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-122
  • Technical References
  • GitHub Security Advisory
  • Related CVEs
  • CVE-2026-33536: ImageMagick Buffer Overflow Vulnerability

  • CVE-2026-32636: ImageMagick Buffer Overflow Vulnerability

  • CVE-2026-32259: ImageMagick Buffer Overflow Vulnerability

  • CVE-2026-28493: ImageMagick Buffer Overflow Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English