CVE-2026-31797: iccDEV Information Disclosure Vulnerability

CVE-2026-31797 Overview

CVE-2026-31797 is an out-of-bounds read vulnerability in iccDEV, a popular set of libraries and tools for working with ICC color management profiles. The vulnerability exists in the CTiffImg::ReadLine() function when the iccApplyProfiles tool processes a crafted TIFF image. Successful exploitation can lead to memory disclosure or application crash, impacting the confidentiality and availability of affected systems.

Critical Impact

Processing a maliciously crafted TIFF image can trigger a heap out-of-bounds read, potentially exposing sensitive memory contents or causing denial of service through application crash.

Affected Products

• iccDEV versions prior to 2.3.1.5
• Applications integrating iccDEV libraries for ICC profile processing
• Systems using iccApplyProfiles tool for TIFF image color management

Discovery Timeline

• 2026-03-10 - CVE-2026-31797 published to NVD
• 2026-03-11 - Last updated in NVD database

Technical Details for CVE-2026-31797

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-bounds Read), a memory corruption flaw that occurs when software reads data past the end or before the beginning of the intended buffer. In the context of iccDEV, the issue manifests within the CTiffImg::ReadLine() function during TIFF image processing operations.

The vulnerability requires local access and user interaction to exploit—an attacker must convince a user to process a maliciously crafted TIFF file using the vulnerable iccApplyProfiles utility. When triggered, the out-of-bounds read can expose heap memory contents that may contain sensitive information, or cause the application to crash unexpectedly.

The impact centers on two primary concerns: information disclosure through memory leakage and denial of service through application instability. While the vulnerability does not allow arbitrary code execution or data modification, the potential for sensitive data exposure in multi-tenant environments or automated processing pipelines makes this a notable security concern.

Root Cause

The root cause lies in insufficient bounds checking within the CTiffImg::ReadLine() function when parsing TIFF image data. When processing certain malformed or specially crafted TIFF structures, the function fails to properly validate buffer boundaries before reading pixel line data. This allows read operations to access memory locations beyond the allocated heap buffer, resulting in undefined behavior that manifests as memory disclosure or crashes.

Attack Vector

The attack vector requires local access to the target system with the ability to supply a crafted TIFF file for processing. An attacker would need to:

1. Create a maliciously crafted TIFF image designed to trigger the out-of-bounds read condition
2. Deliver this file to the target system through email attachments, file sharing, or other transfer mechanisms
3. Convince the user or automated system to process the file using iccApplyProfiles or an application leveraging the vulnerable iccDEV library
4. The resulting memory disclosure could leak sensitive data, or the crash could disrupt service availability

The vulnerability mechanism involves malformed TIFF image structures that cause incorrect buffer size calculations or offset handling in the CTiffImg::ReadLine() function. When the function attempts to read line data from the image, it accesses memory beyond the allocated buffer boundaries. Technical details and proof-of-concept information can be found in the GitHub Issue #656 and the GitHub Security Advisory GHSA-wh2p-cm3r-7hm3.

Detection Methods for CVE-2026-31797

Indicators of Compromise

• Unexpected crashes or segmentation faults in applications using iccDEV libraries when processing TIFF files
• Unusual memory access patterns or error logs related to CTiffImg::ReadLine() function calls
• Presence of suspicious or malformed TIFF files in processing queues or temporary directories

Detection Strategies

• Monitor application logs for crashes or exceptions occurring during TIFF image processing with iccDEV
• Implement file integrity monitoring for TIFF files entering the processing pipeline, flagging unusually structured or malformed images
• Deploy memory sanitization tools (AddressSanitizer, Valgrind) in development and testing environments to detect out-of-bounds read attempts

Monitoring Recommendations

• Enable verbose logging for applications using iccDEV to capture detailed error information during image processing failures
• Implement anomaly detection for repeated processing failures on specific files, which may indicate exploitation attempts
• Monitor system stability metrics for services that handle TIFF files through iccDEV libraries

How to Mitigate CVE-2026-31797

Immediate Actions Required

• Upgrade iccDEV to version 2.3.1.5 or later immediately on all affected systems
• Audit all applications and systems that integrate iccDEV libraries for TIFF processing
• Consider temporarily restricting TIFF file processing from untrusted sources until patches are applied

Patch Information

The International Color Consortium has released version 2.3.1.5 of iccDEV which addresses this vulnerability. The fix was implemented in GitHub Pull Request #659 and is available in the v2.3.1.5 release. Organizations should update to this version or later to remediate the vulnerability. Additional details about the security fix are available in the GitHub Security Advisory GHSA-wh2p-cm3r-7hm3.

Workarounds

• Restrict file processing to TIFF images from trusted sources only until the patch can be applied
• Implement input validation to filter potentially malformed TIFF files before processing
• Run iccDEV tools in sandboxed or containerized environments to limit the impact of potential memory disclosure

# Verify iccDEV version after update
iccApplyProfiles --version
# Expected output should show version 2.3.1.5 or higher