CVE-2026-22861 Overview
CVE-2026-22861 is a heap-based buffer overflow vulnerability in the iccDEV library, a set of tools and libraries used for interacting with, manipulating, and applying International Color Consortium (ICC) color management profiles. The vulnerability exists in the SIccCalcOp::Describe() function located at IccProfLib/IccMpeCalc.cpp. This flaw affects users who process ICC color profiles using vulnerable versions of the iccDEV library prior to version 2.3.1.2.
Critical Impact
Successful exploitation of this heap-based buffer overflow could allow attackers to execute arbitrary code, crash applications, or cause denial of service conditions when processing maliciously crafted ICC color profiles.
Affected Products
- iccDEV library versions prior to 2.3.1.2
- Applications using IccProfLib for ICC color profile processing
- Systems processing untrusted ICC color profile data
Discovery Timeline
- 2026-01-13 - CVE-2026-22861 published to NVD
- 2026-01-13 - Last updated in NVD database
Technical Details for CVE-2026-22861
Vulnerability Analysis
This vulnerability is classified as CWE-120 (Buffer Copy without Checking Size of Input). The flaw resides in the SIccCalcOp::Describe() function within the IccProfLib/IccMpeCalc.cpp source file. The root cause involves improper calculation of buffer boundaries when processing calculator operations in ICC profiles, specifically when handling conditional operations with if/else constructs.
The vulnerability can be triggered when a user opens or processes a specially crafted ICC color profile. Since this library is used for color management in various applications including image editing software, print processing systems, and color calibration tools, the attack surface is significant for organizations handling untrusted image files or color profiles.
Root Cause
The vulnerability stems from an incorrect calculation of remaining operations when processing if/else operation sequences. The original code computed the number of sub-operations as nOps-i, which failed to properly account for the offset adjustment needed after processing conditional statements. This arithmetic error results in a buffer size calculation that exceeds the actual available data, leading to out-of-bounds memory access on the heap.
Attack Vector
This vulnerability is exploitable via network vectors where an attacker can supply a maliciously crafted ICC color profile to a victim. The attack requires some user interaction, such as opening a file containing the malicious profile. Common attack scenarios include:
- Embedding malicious ICC profiles in image files (JPEG, TIFF, PNG)
- Distributing crafted color profiles through file sharing platforms
- Hosting malicious profiles on websites for download
The fix addresses the buffer calculation by properly computing remaining operations:
if ((i+1)<nOps && op[1].sig == icSigElseOp) {
SIccCalcOp *elseop = &op[1];
- // TODO - nOps-i probably should be nOps-i-2 as in CIccCalculatorFunc::CheckUnderflowOverflow
- icUInt32Number nSubOps = (icUInt32Number)icIntMin(nOps-i, ifop->data.size);
+ icUInt32Number remaining = nOps - i - 2;
+ icUInt32Number nSubOps = (icUInt32Number)icIntMin(remaining, ifop->data.size);
op++;
i++;
funcDesc += "\n";
Source: GitHub Commit Update
Detection Methods for CVE-2026-22861
Indicators of Compromise
- Unexpected application crashes when processing ICC color profiles
- Memory access violations or segmentation faults in applications using iccDEV library
- Abnormal heap memory patterns indicating buffer overflow attempts
- Unusual network requests to download ICC profile files from untrusted sources
Detection Strategies
- Monitor for crashes in applications that process ICC color profiles with stack traces referencing SIccCalcOp::Describe() or IccMpeCalc.cpp
- Deploy memory corruption detection tools (AddressSanitizer, Valgrind) in development and testing environments
- Implement file integrity monitoring for ICC profile processing applications
- Use behavior-based endpoint detection to identify exploitation attempts targeting color management libraries
Monitoring Recommendations
- Enable verbose logging in applications using the iccDEV library to capture profile processing errors
- Monitor system event logs for application crashes related to color profile handling
- Track file access patterns for .icc and .icm profile files from untrusted sources
- Deploy SentinelOne Singularity to detect memory corruption exploitation attempts in real-time
How to Mitigate CVE-2026-22861
Immediate Actions Required
- Update the iccDEV library to version 2.3.1.2 or later immediately
- Audit applications in your environment that utilize ICC color profile processing functionality
- Restrict processing of ICC profiles from untrusted sources until patches are applied
- Enable memory protection features (ASLR, DEP) on systems running vulnerable applications
Patch Information
The vulnerability has been fixed in iccDEV version 2.3.1.2. The fix corrects the buffer size calculation in the SIccCalcOp::Describe() function by properly computing the remaining operations when processing if/else conditional constructs. Organizations should obtain the patched version from the official GitHub Security Advisory GHSA-vr49-3vf8-7j5h.
Additional patch details can be found in GitHub Pull Request #475 and GitHub Pull Request #476.
Workarounds
- Implement input validation to reject ICC profiles with abnormally complex calculator operations before processing
- Use sandboxing or containerization for applications that must process untrusted ICC profiles
- Deploy application whitelisting to restrict execution of potentially exploited color management applications
- Consider disabling ICC profile processing for untrusted files until patching is complete
# Configuration example - Verify iccDEV library version
# Check installed library version to confirm patch status
find /usr -name "libicc*" -exec ls -la {} \; 2>/dev/null
# For applications using iccDEV, verify minimum version 2.3.1.2
pkg-config --modversion iccDEV 2>/dev/null || echo "Check library version manually"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


