CVE-2026-21677 Overview
CVE-2026-21677 is an Input Validation Error vulnerability affecting iccDEV, a library and toolset for working with ICC color management profiles. The vulnerability exists in the CIccCLUT::Init function, which initializes and sets the size of a Color Lookup Table (CLUT). Versions 2.3.1 and below contain undefined behavior that can be triggered when processing maliciously crafted ICC profiles, potentially leading to remote code execution or denial of service conditions.
Critical Impact
Attackers can exploit this undefined behavior by crafting malicious ICC color profiles that trigger the vulnerability when processed by applications using the affected iccDEV library versions. Successful exploitation could result in arbitrary code execution with the privileges of the processing application.
Affected Products
- iccDEV versions 2.3.1 and below
- Applications and systems utilizing iccDEV libraries for ICC color profile processing
- Software implementing International Color Consortium profile support via iccDEV
Discovery Timeline
- 2026-01-06 - CVE CVE-2026-21677 published to NVD
- 2026-01-08 - Last updated in NVD database
Technical Details for CVE-2026-21677
Vulnerability Analysis
The vulnerability resides in the CIccCLUT::Init function within the iccDEV library, which is responsible for initializing Color Lookup Table data structures used in ICC color management profiles. The function fails to properly validate input parameters before initializing LUT (Lookup Table) data, specifically the input and output count values.
When a malformed ICC profile is processed with invalid m_nInput or m_nOutput values (particularly values less than 1), the function proceeds with initialization without proper bounds checking. This undefined behavior can lead to memory corruption, out-of-bounds memory access, or unexpected program states that an attacker could potentially leverage for code execution.
The network attack vector combined with user interaction requirements indicates this vulnerability is exploitable through scenarios where users open or process malicious ICC profile files delivered via email, web downloads, or embedded in image files.
Root Cause
The root cause is improper input validation (CWE-20) in the CIccCLUT::Init function. The function did not validate that the input count (m_nInput) and output count (m_nOutput) parameters meet minimum requirements before proceeding with CLUT initialization. Without ensuring at least 1 input and 1 output channel, the function could enter undefined behavior states during subsequent memory allocation and data processing operations.
Attack Vector
The vulnerability can be exploited through network-delivered malicious ICC color profiles. An attacker would:
- Craft a malicious ICC profile file containing invalid CLUT initialization parameters
- Deliver the malicious profile to a victim through email attachments, web downloads, or embedded within image files
- When the victim opens or processes the file using an application that leverages the vulnerable iccDEV library, the malformed data triggers the undefined behavior
- Depending on the exploitation technique, this could result in arbitrary code execution or application crash
The security patch implemented in version 2.3.1.1 adds explicit validation to prevent this attack:
{
if (nMaxSize && !nBytesPerPoint)
return false;
// must have at least 1 input and 1 output
if (m_nInput < 1 || m_nOutput < 1)
return false;
icUInt64Number nNumPoints;
memset(m_nReserved2, 0, sizeof(m_nReserved2));
Source: GitHub Commit
Detection Methods for CVE-2026-21677
Indicators of Compromise
- Unexpected application crashes when processing ICC color profiles
- Abnormal memory consumption by applications handling color management operations
- Suspicious ICC profile files with malformed CLUT header data containing zero or negative input/output channel counts
Detection Strategies
- Monitor for unusual behavior in applications processing ICC profiles, particularly crashes in the CIccCLUT::Init code path
- Implement file inspection rules to detect ICC profiles with invalid CLUT parameter values
- Use SentinelOne's behavioral AI to detect exploitation attempts targeting memory corruption vulnerabilities in color management libraries
Monitoring Recommendations
- Enable detailed logging for applications that process ICC color profiles
- Configure endpoint detection solutions to alert on anomalous memory access patterns in processes handling ICC data
- Monitor network traffic for suspicious ICC profile file transfers, particularly from untrusted sources
How to Mitigate CVE-2026-21677
Immediate Actions Required
- Upgrade iccDEV to version 2.3.1.1 or later immediately
- Audit all applications and systems using iccDEV libraries to identify affected deployments
- Consider temporarily restricting the processing of ICC profiles from untrusted sources until patching is complete
- Review application sandboxing configurations to limit the impact of potential exploitation
Patch Information
The vulnerability has been fixed in iccDEV version 2.3.1.1. The patch adds explicit validation to ensure that both m_nInput and m_nOutput parameters are at least 1 before proceeding with CLUT initialization. Organizations should upgrade to the patched version as soon as possible.
For detailed information about the fix, refer to the GitHub Security Advisory and the commit implementing the fix.
Workarounds
- Implement input validation at the application layer to reject ICC profiles with suspicious CLUT parameters before passing them to the library
- Run applications processing ICC profiles in sandboxed environments with reduced privileges
- Block or quarantine ICC profile files from untrusted sources until they can be validated
# Example: Check iccDEV version and update if vulnerable
# Verify current version in your build configuration
grep -r "iccDEV" CMakeLists.txt package.json || echo "Check your build system for iccDEV dependency"
# Update to patched version 2.3.1.1 or later
git clone https://github.com/InternationalColorConsortium/iccDEV.git
cd iccDEV
git checkout v2.3.1.1
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

