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CVE-2026-31797: CWE-125: Out-of-bounds Read in InternationalColorConsortium iccDEV

0
Medium
VulnerabilityCVE-2026-31797cvecve-2026-31797cwe-125cwe-787
Published: Tue Mar 10 2026 (03/10/2026, 18:06:12 UTC)
Source: CVE Database V5
Vendor/Project: InternationalColorConsortium
Product: iccDEV

Description

CVE-2026-31797 is a medium severity vulnerability in iccDEV, a library suite for ICC color profile management. Versions prior to 2. 3. 1. 5 contain a heap out-of-bounds read in the CTiffImg::ReadLine() function when processing crafted TIFF images via iccApplyProfiles. This flaw can lead to memory disclosure or application crashes. Exploitation requires local access and user interaction, with no privileges needed. The vulnerability affects confidentiality and availability but not integrity. No known exploits are currently reported in the wild. The issue is fixed in version 2.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/17/2026, 19:24:39 UTC

Technical Analysis

The vulnerability identified as CVE-2026-31797 affects the InternationalColorConsortium's iccDEV library, specifically versions before 2.3.1.5. iccDEV is widely used for handling ICC color profiles, which are critical in color management workflows across various imaging applications. The flaw resides in the CTiffImg::ReadLine() function, which is invoked during the execution of iccApplyProfiles when processing TIFF images. A crafted TIFF image can trigger a heap out-of-bounds read, a type of memory access error where the program reads beyond the allocated buffer boundaries. This can result in unintended memory disclosure, potentially leaking sensitive information, or cause the application to crash, impacting availability. The vulnerability is classified under CWE-125 (Out-of-bounds Read) and CWE-787 (Out-of-bounds Write), indicating improper memory handling. Exploitation requires local access and user interaction, as indicated by the CVSS vector (AV:L/AC:L/PR:N/UI:R), meaning an attacker must trick a user into opening or processing a malicious TIFF file. The CVSS score of 6.1 reflects a medium severity level due to limited attack vector and impact scope. No known exploits have been reported in the wild, but the risk remains for environments where iccDEV is used to process untrusted TIFF files. The issue is resolved in iccDEV version 2.3.1.5, which corrects the memory handling in the affected function.

Potential Impact

The primary impact of this vulnerability is on confidentiality and availability. Memory disclosure can lead to leakage of sensitive data residing in adjacent memory, which may include cryptographic keys, passwords, or other critical information depending on the application context. The crash induced by the out-of-bounds read can cause denial of service, disrupting image processing workflows or dependent services. Since the vulnerability requires local access and user interaction, remote exploitation is unlikely, limiting the attack surface. However, organizations that process TIFF images from untrusted sources, such as graphic design firms, printing services, or digital content platforms, may face increased risk. The flaw could be leveraged in targeted attacks to extract information or cause service interruptions. The lack of known exploits reduces immediate threat but does not eliminate future risk, especially as attackers often weaponize such vulnerabilities once publicly disclosed.

Mitigation Recommendations

To mitigate this vulnerability, organizations should upgrade iccDEV to version 2.3.1.5 or later, where the issue is fixed. In environments where immediate patching is not feasible, implementing strict input validation and sanitization for TIFF files can reduce risk. Employing sandboxing or running image processing tools with least privilege can limit potential damage from exploitation. Monitoring and alerting for crashes or unusual behavior in applications using iccDEV can help detect exploitation attempts. Additionally, educating users about the risks of opening untrusted TIFF files and enforcing policies to avoid processing files from unknown sources will reduce exposure. Incorporating runtime protections such as AddressSanitizer during development and testing can help identify similar memory issues proactively.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-03-09T16:33:42.912Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69b060189972381a9898f2b0

Added to database: 3/10/2026, 6:16:56 PM

Last enriched: 3/17/2026, 7:24:39 PM

Last updated: 4/28/2026, 7:28:59 AM

Views: 71

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