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CVE-2025-66498

5.3 · MEDIUM

A memory corruption vulnerability exists in the 3D annotation handling of Foxit PDF Reader due to insufficient bounds checking when parsing U3D data.

Published Dec 19, 2025CWE-125EPSS 0.21%

Overview

CVE-2025-66498 is a medium-severity vulnerability. It was published on December 19, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

A memory corruption vulnerability exists in the 3D annotation handling of Foxit PDF Reader due to insufficient bounds checking when parsing U3D data. When opening a PDF file containing malformed or specially crafted PRC content, out-of-bounds memory access may occur, resulting in memory corruption.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Refwww.foxit.com/support/security-bulletins.html

How CyberStrike helps

Frequently asked questions

What is CVE-2025-66498?

CVE-2025-66498 is a medium-severity vulnerability. It was published on December 19, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2025-66498?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-66498?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-66498?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-66498 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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