CVE-2026-25503

7.1

International Color Consortium · iccDEV

A type confusion vulnerability in the iccDEV library allows attackers to trigger a denial of service by providing malformed ICC color management profiles with invalid encoding types.

Executive summary

A type confusion vulnerability in the International Color Consortium iccDEV library, prior to version 2.3.1.2, poses a significant denial of service risk to applications processing ICC profiles.

Vulnerability

The vulnerability is caused by incorrect type conversion (CWE-704) and type confusion (CWE-843) when loading ICC profiles. An unauthenticated attacker can trigger this flaw by supplying a specially crafted file containing invalid icImageEncodingType values, leading to application instability or a denial of service.

Business impact

Successful exploitation results in a denial of service, which can cause significant disruption to workflows that rely on ICC color management, such as graphic design, printing, or image processing pipelines. With a CVSS score of 7.1, this represents a High severity risk, as the ability to crash critical rendering services can lead to operational downtime and loss of productivity.

Remediation

Immediate Action: Update the iccDEV library to version 2.3.1.2 or later to include the necessary type safety checks and resolve the vulnerability.

Proactive Monitoring: Monitor application logs for segmentation faults or unexpected crashes occurring during the ingestion or processing of image files and color profiles.

Compensating Controls: Implement strict input validation or sandboxing for any service that parses untrusted ICC profile data to limit the impact of malformed inputs.

Exploitation status

Public Exploit Available: No (exploit_available unknown).

Analyst recommendation

Given the High severity of this vulnerability and the existence of proof-of-concept data, organizations should prioritize updating the iccDEV library in all affected applications. Failure to patch may expose systems to targeted service disruption attacks, particularly in environments where automated image processing is prevalent.

More International Color Consortium CVEs

Sources