A Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. Six years running.Six years. Gartner® Magic Quadrant™ Leader.Find Out Why
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
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • 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-2026-21692

CVE-2026-21692: Color Iccdev Type Confusion Vulnerability

CVE-2026-21692 is a type confusion vulnerability in Color Iccdev library affecting ICC color profile processing. This flaw impacts users processing color management profiles. This article covers technical details, versions, and patches.

Updated: May 14, 2026

CVE-2026-21692 Overview

CVE-2026-21692 is a type confusion vulnerability in iccDEV, a library and toolset for interacting with International Color Consortium (ICC) color management profiles. The flaw resides in the ToXmlCurve() function at IccXML/IccLibXML/IccMpeXml.cpp and affects all versions prior to 2.3.1.2. Applications processing untrusted ICC color profiles can trigger the type confusion when parsing crafted XML curve elements. Successful exploitation can compromise confidentiality, integrity, and availability of the affected process. The maintainers released version 2.3.1.2 to patch the issue, and no workarounds are available.

Critical Impact

A network-delivered, malicious ICC profile can trigger memory corruption in any application linked against vulnerable iccDEV builds, leading to potential arbitrary code execution.

Affected Products

  • iccDEV versions prior to 2.3.1.2
  • Applications and tooling that embed IccXML/IccLibXML for ICC profile parsing
  • Workflows that ingest untrusted ICC color profiles via XML

Discovery Timeline

  • 2026-01-07 - CVE-2026-21692 published to the National Vulnerability Database
  • 2026-01-12 - Last updated in NVD database

Technical Details for CVE-2026-21692

Vulnerability Analysis

The vulnerability is a type confusion flaw [CWE-20] in the ToXmlCurve() function inside IccXML/IccLibXML/IccMpeXml.cpp. The function converts internal curve representations from an ICC profile into their XML form. During this conversion, the code casts or dispatches on a curve element without correctly verifying its actual runtime type. An attacker supplying a crafted ICC profile can cause the parser to treat one curve object as a different incompatible type. This results in operations on fields, vtables, or pointers that do not match the underlying memory layout. The mismatch can corrupt memory, leak data, or transfer execution to attacker-controlled addresses.

Root Cause

The root cause is insufficient input validation when handling polymorphic ICC curve structures. ToXmlCurve() relies on assumed type identity rather than authoritatively validating the curve subtype before accessing type-specific members. ICC profile data is attacker-controlled, so unchecked type assumptions become a direct path to memory corruption.

Attack Vector

The attack vector is network reachable but requires user interaction, typically opening or processing a malicious ICC profile. An attacker delivers a crafted profile through email attachments, image files, document workflows, print pipelines, or web content that triggers iccDEV-based color management. When the host application invokes ToXmlCurve() against the crafted profile, the type confusion occurs and the attacker can influence subsequent memory operations. No authentication is required, and the impact extends to confidentiality, integrity, and availability of the process.

No verified public proof-of-concept code is available. Refer to the GitHub Security Advisory GHSA-7662-mf46-wr88 and GitHub Pull Request #432 for the upstream technical discussion and patch.

Detection Methods for CVE-2026-21692

Indicators of Compromise

  • Unexpected crashes, aborts, or segmentation faults in applications that parse ICC profiles via iccDEV components
  • Anomalous child processes spawned by image viewers, color management services, or document processors after ICC profile handling
  • ICC profiles with malformed or oversized XML curve elements arriving via email, web downloads, or shared document stores

Detection Strategies

  • Inventory all binaries and packages that statically or dynamically link against IccLibXML and compare versions against 2.3.1.2
  • Inspect ICC profiles in transit for malformed <Curve> and multi-processing element XML structures using content inspection at mail and web gateways
  • Enable crash telemetry and core dump collection on hosts that perform color profile processing to catch exploitation attempts early

Monitoring Recommendations

  • Monitor process execution chains where color management or image processing tools launch shells, scripting hosts, or network utilities
  • Alert on file write activity to ICC profile paths from non-administrative users or unusual processes
  • Track outbound network connections initiated by image, print, or PDF processing services that should not communicate externally

How to Mitigate CVE-2026-21692

Immediate Actions Required

  • Upgrade iccDEV to version 2.3.1.2 or later across all systems and rebuild any downstream software that statically links the library
  • Identify and prioritize internet-exposed services that ingest user-supplied ICC profiles, including image conversion APIs and document rendering pipelines
  • Restrict acceptance of ICC profiles from untrusted sources until patched builds are deployed

Patch Information

The iccDEV maintainers released version 2.3.1.2, which contains the fix for ToXmlCurve(). See GitHub Pull Request #432 for the code change and GitHub Issue #388 for the originating report. Distributors who repackage iccDEV should rebuild dependent applications against the patched release.

Workarounds

  • No vendor-supplied workarounds are available; upgrading to iccDEV 2.3.1.2 is required
  • As a temporary risk-reduction measure, disable or sandbox application features that parse ICC profile XML through IccLibXML until patches are applied
  • Apply application allowlisting and reduced-privilege execution to processes that must continue handling ICC profiles before upgrading
bash
# Verify installed iccDEV version and locate vulnerable libraries
ldconfig -p | grep -i iccxml
find / -name 'libIccXML*' -exec strings {} \; 2>/dev/null | grep -i version
# Upgrade from source after fetching the patched release
git clone https://github.com/InternationalColorConsortium/iccDEV.git
cd iccDEV && git checkout v2.3.1.2

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

  • Vulnerability Details
  • TypeOther

  • Vendor/TechColor Iccdev

  • SeverityHIGH

  • CVSS Score8.8

  • EPSS Probability0.18%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-20
  • Vendor Resources
  • GitHub Issue #388

  • GitHub Pull Request #432

  • GitHub Security Advisory GHSA-7662-mf46-wr88
  • Related CVEs
  • CVE-2026-21677: Color Iccdev Undefined Behavior Flaw

  • CVE-2026-21685: Color Iccdev Undefined Behavior Flaw

  • CVE-2026-27691: Color Iccdev Buffer Overflow Vulnerability

  • CVE-2026-27692: Color Iccdev Buffer Overflow Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today 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