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Vulnerability Database/CVE-2026-34554

CVE-2026-34554: iccDEV Buffer Overflow Vulnerability

CVE-2026-34554 is a heap-buffer-overflow vulnerability in iccDEV that allows attackers to trigger out-of-bounds memory reads via malformed JSON input. This post covers technical details, affected versions, and mitigation.

Published:

CVE-2026-34554 Overview

A heap-buffer-overflow vulnerability exists in iccDEV, a set of libraries and tools for working with ICC color management profiles. Prior to version 2.3.1.6, a heap-buffer-overflow (HBO) in CIccApplyCmmSearch::costFunc() can be triggered via malformed JSON configuration input to the iccApplySearch tool. AddressSanitizer reports an out-of-bounds READ of size 8 originating from CIccApplyCmmSearch::costFunc(CIccSearchVec&) at IccProfLib/IccCmmSearch.cpp:112:5.

Critical Impact

This vulnerability allows local attackers to trigger denial of service conditions through malformed JSON input, potentially crashing applications that process ICC color profiles.

Affected Products

  • iccDEV versions prior to 2.3.1.6
  • Applications utilizing IccProfLib for ICC color management
  • Tools processing ICC color profiles via iccApplySearch

Discovery Timeline

  • 2026-03-31 - CVE CVE-2026-34554 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-34554

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-bounds Read), where the affected code reads data beyond the boundaries of an allocated memory buffer on the heap. The flaw occurs in the CIccApplyCmmSearch::costFunc() function within the IccProfLib/IccCmmSearch.cpp source file at line 112. When processing malformed JSON configuration input, the function fails to properly validate buffer boundaries before performing read operations, leading to an 8-byte out-of-bounds read.

The vulnerability requires local access to exploit, as an attacker must be able to provide crafted JSON input to the iccApplySearch tool. While this is a read-based overflow rather than a write operation, it can still lead to application crashes and potential information disclosure depending on the memory contents accessed.

Root Cause

The root cause of this vulnerability lies in insufficient bounds checking within the CIccApplyCmmSearch::costFunc() function when processing search vector parameters from JSON configuration input. The function assumes input data conforms to expected size constraints without performing adequate validation, allowing maliciously crafted JSON to trigger reads beyond allocated heap buffer boundaries.

Attack Vector

Exploitation requires local access to a system running iccDEV tools. An attacker must craft a malicious JSON configuration file and provide it as input to the iccApplySearch tool. The attack flow involves:

  1. Attacker creates a specially crafted JSON configuration file with malformed data structures
  2. The malicious JSON is passed to the iccApplySearch command-line tool
  3. During processing, CIccApplyCmmSearch::costFunc() attempts to access memory beyond the allocated buffer
  4. This triggers an out-of-bounds read, causing application crash or potential information leakage

The vulnerability mechanism involves improper handling of search vector parameters within the color management search functionality. When the costFunc() method processes input data, it reads 8 bytes beyond the valid heap buffer boundary. For detailed technical analysis, refer to the GitHub Issue #700 and the GitHub Security Advisory GHSA-hqc7-5pgc-9672.

Detection Methods for CVE-2026-34554

Indicators of Compromise

  • Application crashes in iccApplySearch or related ICC profile processing tools
  • AddressSanitizer alerts indicating heap-buffer-overflow reads in IccCmmSearch.cpp
  • Unexpected JSON configuration files with malformed or oversized data structures
  • Core dumps showing crashes originating from CIccApplyCmmSearch::costFunc()

Detection Strategies

  • Deploy memory sanitizers (AddressSanitizer, Valgrind) in development and testing environments to detect out-of-bounds memory access
  • Monitor application logs for crashes related to ICC profile processing components
  • Implement input validation rules to detect malformed JSON configurations before processing
  • Use SentinelOne's behavioral AI to detect abnormal application termination patterns

Monitoring Recommendations

  • Enable crash reporting for applications utilizing iccDEV libraries
  • Monitor system logs for repeated crashes in color management tool processes
  • Implement file integrity monitoring for JSON configuration files used by ICC tools
  • Track application behavior around ICC profile processing operations

How to Mitigate CVE-2026-34554

Immediate Actions Required

  • Upgrade iccDEV to version 2.3.1.6 or later immediately
  • Restrict access to the iccApplySearch tool to trusted users only
  • Validate all JSON configuration input before processing with ICC tools
  • Consider temporarily disabling ICC color management search functionality if upgrade is not immediately possible

Patch Information

The vulnerability has been patched in iccDEV version 2.3.1.6. The fix addresses the bounds checking issue in CIccApplyCmmSearch::costFunc() to prevent out-of-bounds reads when processing search vector data. The patch is available through the GitHub Pull Request #738. Organizations should update their iccDEV installations to the patched version as soon as possible.

Workarounds

  • Implement strict input validation on all JSON configuration files before passing to ICC tools
  • Run iccApplySearch in a sandboxed environment to limit potential impact
  • Restrict file system permissions to prevent untrusted users from providing configuration input
  • Deploy application-level monitoring to detect and terminate processes exhibiting abnormal memory access patterns
bash
# Configuration example
# Update iccDEV to patched version
git clone https://github.com/InternationalColorConsortium/iccDEV.git
cd iccDEV
git checkout v2.3.1.6
mkdir build && cd build
cmake ..
make && sudo make install

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

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