Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-34535

CVE-2026-34535: iccDEV Buffer Overflow Vulnerability

CVE-2026-34535 is a buffer overflow flaw in iccDEV ICC color management libraries that causes segmentation faults via crafted profiles. This article covers technical details, affected versions, impact, and mitigation.

Published:

CVE-2026-34535 Overview

CVE-2026-34535 is a heap buffer overflow vulnerability in iccDEV, a library and toolset for working with ICC color management profiles. The vulnerability exists in the CIccTagArray::Cleanup() function, where a specially crafted ICC profile can trigger a segmentation fault through misaligned memory access patterns. This issue is classified as CWE-122 (Heap-based Buffer Overflow) and can lead to denial of service through application crash.

Critical Impact

Attackers can exploit this vulnerability by providing malicious ICC profile files to applications using the iccDEV library, causing process crashes and denial of service conditions.

Affected Products

  • iccDEV versions prior to 2.3.1.6
  • Applications using iccDEV library for ICC profile processing
  • Tools such as iccRoundTrip that process ICC color profiles

Discovery Timeline

  • 2026-03-31 - CVE-2026-34535 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-34535

Vulnerability Analysis

This heap buffer overflow vulnerability occurs during the cleanup routine of the CIccTagArray class within the iccDEV library. When processing a maliciously crafted ICC color profile, the library fails to properly validate memory alignment and buffer boundaries before performing read operations. Under Address Sanitizer (ASan) and Undefined Behavior Sanitizer (UBSan), the issue manifests as misaligned member access and misaligned pointer loads, followed by an invalid read that ultimately causes the process to crash with a segmentation fault (SEGV).

The vulnerability requires local access to exploit, as an attacker must provide a malicious ICC profile file to an application or tool that uses the vulnerable library. While the vulnerability does not allow code execution or data disclosure, it can be leveraged to cause denial of service conditions in any software that processes untrusted ICC profiles using affected versions of iccDEV.

Root Cause

The root cause is improper memory handling in the CIccTagArray::Cleanup() function. The function fails to properly validate memory alignment requirements and buffer boundaries when processing tag array data from ICC profiles. This allows crafted profile data to trigger misaligned pointer operations that result in undefined behavior and memory access violations.

Attack Vector

The attack vector is local, requiring an attacker to provide a malicious ICC profile to an application using the vulnerable iccDEV library. This could occur through:

  1. Processing untrusted ICC profiles from external sources
  2. Opening images or documents containing embedded malicious ICC color profiles
  3. Running ICC profile processing tools like iccRoundTrip on attacker-supplied files

The vulnerability was observed when running iccRoundTrip against a specially crafted profile, demonstrating the practical exploitability of the issue. For detailed technical information about the vulnerability mechanism, see the GitHub Security Advisory GHSA-965q-9pp6-6vw5.

Detection Methods for CVE-2026-34535

Indicators of Compromise

  • Unexpected application crashes when processing ICC color profiles
  • Segmentation fault (SEGV) errors in applications using iccDEV library
  • ASan/UBSan reports showing misaligned memory access in CIccTagArray::Cleanup()
  • Core dumps indicating crashes within iccDEV library functions

Detection Strategies

  • Monitor for segmentation fault signals in applications that process ICC profiles
  • Enable ASan/UBSan in development and testing environments to detect misaligned memory access
  • Review application logs for crashes correlated with ICC profile processing operations
  • Implement file validation checks for ICC profiles before processing

Monitoring Recommendations

  • Track application stability metrics for software using iccDEV library
  • Configure crash reporting to capture stack traces from iccDEV-related crashes
  • Monitor for unusual patterns of ICC profile submissions that could indicate exploitation attempts

How to Mitigate CVE-2026-34535

Immediate Actions Required

  • Upgrade iccDEV to version 2.3.1.6 or later immediately
  • Audit systems for applications using vulnerable versions of the iccDEV library
  • Implement input validation to reject malformed ICC profiles before processing
  • Consider disabling ICC profile processing for untrusted sources until patched

Patch Information

The vulnerability has been patched in iccDEV version 2.3.1.6. The fix addresses the memory alignment and buffer boundary validation issues in the CIccTagArray::Cleanup() function. Users should update to this version or later to remediate the vulnerability.

Patch details are available in GitHub Pull Request #683. Additional information about the vulnerability can be found in GitHub Issue #666 and the GitHub Security Advisory GHSA-965q-9pp6-6vw5.

Workarounds

  • Restrict ICC profile processing to trusted sources only until the patch can be applied
  • Implement file size and structure validation for ICC profiles before processing
  • Run ICC profile processing in sandboxed environments to contain potential crashes
  • Use process isolation to prevent denial of service from affecting critical systems
bash
# Verify iccDEV version to confirm patched version is installed
# Check if version 2.3.1.6 or later is installed
pkg-config --modversion iccDEV

# If using the library from source, verify the git tag
cd /path/to/iccDEV
git describe --tags
# Should show v2.3.1.6 or later

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

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.