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CVE-2019-6985

8.8 · HIGH

An issue was discovered in Foxit 3D Plugin Beta before 9.4.0.16807 for Foxit Reader and PhantomPDF.

Published Jan 28, 2019CWE-125EPSS 1.36%

Overview

CVE-2019-6985 is a high-severity vulnerability. It was published on January 28, 2019 and has a CVSS 3.0 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

An issue was discovered in Foxit 3D Plugin Beta before 9.4.0.16807 for Foxit Reader and PhantomPDF. The application could encounter an Out-of-Bounds Read in Indexing or a Heap Overflow and crash during handling of certain PDF files that embed specifically crafted 3D content, due to an array access violation.

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.

Frequently asked questions

What is CVE-2019-6985?

CVE-2019-6985 is a high-severity vulnerability. It was published on January 28, 2019 and has a CVSS 3.0 base score of 8.8 (HIGH).

How severe is CVE-2019-6985?

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2019-6985?

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-2019-6985?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-6985 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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