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CVE-2025-7462

4.3 · MEDIUM

A vulnerability was found in Artifex GhostPDL up to 3989415a5b8e99b9d1b87cc9902bde9b7cdea145.

Published Jul 12, 2025CWE-404EPSS 0.46%

Overview

CVE-2025-7462 is a medium-severity vulnerability. It was published on July 12, 2025 and has a CVSS 3.1 base score of 4.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

A vulnerability was found in Artifex GhostPDL up to 3989415a5b8e99b9d1b87cc9902bde9b7cdea145. It has been classified as problematic. This affects the function pdf_ferror of the file devices/vector/gdevpdf.c of the component New Output File Open Error Handler. The manipulation leads to null pointer dereference. It is possible to initiate the attack remotely. The identifier of the patch is 619a106ba4c4abed95110f84d5efcd7aee38c7cb. It is recommended to apply a patch to fix this issue.

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-2025-7462?

CVE-2025-7462 is a medium-severity vulnerability. It was published on July 12, 2025 and has a CVSS 3.1 base score of 4.3 (MEDIUM).

How severe is CVE-2025-7462?

This vulnerability has a CVSS 3.1 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-7462?

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-2025-7462?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-7462 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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