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-2026-27691

CVE-2026-27691: Color Iccdev Buffer Overflow Vulnerability

CVE-2026-27691 is a buffer overflow vulnerability in Color Iccdev that causes signed integer overflow during cube processing, leading to crashes or incorrect ICC profile generation. This article covers technical details, affected versions, impact, and mitigation.

Published: February 27, 2026

CVE-2026-27691 Overview

CVE-2026-27691 is an integer overflow vulnerability in iccDEV, a library and toolset for working with ICC color management profiles. The vulnerability exists in iccFromCube.cpp where signed integer overflow during multiplication triggers undefined behavior. This can potentially cause application crashes or incorrect ICC profile generation when processing crafted or unusually large cube inputs.

Critical Impact

Attackers with local access can exploit this integer overflow vulnerability to cause denial of service through application crashes or potentially corrupt ICC profile output, affecting color management workflows in affected systems.

Affected Products

  • Color iccDEV versions up to and including 2.3.1.4
  • Applications using iccDEV library for ICC profile processing
  • Systems utilizing iccFromCube tool for cube file conversion

Discovery Timeline

  • 2026-02-25 - CVE CVE-2026-27691 published to NVD
  • 2026-02-26 - Last updated in NVD database

Technical Details for CVE-2026-27691

Vulnerability Analysis

This vulnerability is classified as CWE-190 (Integer Overflow or Wraparound). The signed integer overflow occurs in the iccFromCube.cpp file during multiplication operations when processing cube input data. When an attacker provides a specially crafted cube file with large values, the multiplication of these values can exceed the maximum value that can be stored in a signed integer type, causing the result to wrap around to an unexpected negative or small positive value.

This undefined behavior in C++ can lead to unpredictable program execution, including crashes, memory corruption, or generation of malformed ICC profiles. Since the attack vector is local and requires user interaction with a malicious cube file, exploitation would typically involve social engineering to convince a user to process an attacker-controlled input file.

Root Cause

The root cause of CVE-2026-27691 is insufficient bounds checking in the parse3DTable() function before performing multiplication operations on user-controlled input values. The code failed to validate that nGridPoints met minimum requirements before using it in calculations, allowing values less than 2 to be processed. This could lead to signed integer overflow during subsequent arithmetic operations, resulting in undefined behavior per the C++ standard.

Attack Vector

The attack requires local access where an attacker must craft a malicious cube file with carefully selected values that trigger integer overflow during the multiplication operations. When a user processes this file using the iccFromCube tool or applications built on the iccDEV library, the overflow occurs leading to undefined behavior. The most likely outcome is a denial of service through application crash, though incorrect ICC profile generation is also possible.

cpp
// Patch from IccProfLib/IccTagLut.cpp
// Source: https://github.com/InternationalColorConsortium/iccDEV/commit/43ae18dd69fc70190d3632a18a3af2f3da1e052a

   // m_GridPoints[] is a fixed length of 16
   if (m_nInput > 16)
     return false;
+  if (nGridPoints < 2)  // at least 2 required for interpolation to work
+    return false;
   memset(m_GridPoints, nGridPoints, m_nInput);
   return Init(&m_GridPoints[0], nMaxSize, nBytesPerPoint);
 }

The fix adds proper bounds checking to ensure nGridPoints is at least 2 before proceeding with table parsing, preventing the integer overflow condition.

Detection Methods for CVE-2026-27691

Indicators of Compromise

  • Unexpected crashes in applications using iccDEV library when processing cube files
  • Malformed or corrupted ICC profile outputs from the iccFromCube tool
  • Presence of unusually large or suspiciously crafted .cube files in processing directories
  • Error logs indicating arithmetic overflow or undefined behavior in ICC profile generation workflows

Detection Strategies

  • Monitor for application crashes in processes utilizing iccDEV library components
  • Implement file integrity monitoring for ICC profile outputs to detect corruption
  • Deploy endpoint detection rules for crash patterns associated with integer overflow exploitation
  • Review system logs for repeated failures in color management workflows

Monitoring Recommendations

  • Enable verbose logging for applications using iccDEV library to capture processing errors
  • Configure crash dump collection for forensic analysis of potential exploitation attempts
  • Monitor file system activity for cube files with anomalous characteristics (extremely large dimensions)
  • Implement application allowlisting to prevent unauthorized ICC processing tools from executing

How to Mitigate CVE-2026-27691

Immediate Actions Required

  • Update iccDEV to a version containing commit 43ae18dd69fc70190d3632a18a3af2f3da1e052a or later
  • Audit all applications and workflows that utilize iccDEV library for cube file processing
  • Restrict access to cube file processing functionality to trusted users only
  • Validate cube file sources before processing and avoid files from untrusted sources

Patch Information

The vulnerability is fixed in commit 43ae18dd69fc70190d3632a18a3af2f3da1e052a. The patch adds bounds checking to ensure nGridPoints is at least 2 before interpolation operations, preventing the signed integer overflow condition. The fix also includes the <climits> header in iccFromCube.cpp to support proper limit checking.

Additional details are available in:

  • GitHub Security Advisory GHSA-4gfj-4cjh-53v5
  • GitHub Pull Request #611

Workarounds

  • No known workarounds are available according to the vendor advisory
  • As a defense-in-depth measure, validate cube file inputs before processing using custom validation scripts
  • Restrict file system permissions to prevent untrusted users from placing cube files in processing directories
  • Consider isolating ICC profile generation workflows in sandboxed environments to limit impact of potential crashes
bash
# Verify iccDEV installation includes the security fix
# Check if the patched commit is present in your installation
cd /path/to/iccDEV
git log --oneline | grep 43ae18dd

# If using a release version, ensure version is newer than 2.3.1.4
# or contains the security patch

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechColor Iccdev

  • SeverityMEDIUM

  • CVSS Score5.5

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-190
  • Technical References
  • GitHub Issue Discussion
  • Vendor Resources
  • GitHub Commit Details

  • GitHub Pull Request

  • GitHub Security Advisory
  • Related CVEs
  • CVE-2026-27692: Color Iccdev Buffer Overflow Vulnerability
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