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CVE-2025-53019

3.7 · LOW

ImageMagick is free and open-source software used for editing and manipulating digital images.

Published Jul 14, 2025CWE-125EPSS 0.56%

Overview

CVE-2025-53019 is a low-severity vulnerability. It was published on July 14, 2025 and has a CVSS 3.1 base score of 3.7 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

ImageMagick is free and open-source software used for editing and manipulating digital images. In versions prior to 7.1.2-0 and 6.9.13-26, in ImageMagick's `magick stream` command, specifying multiple consecutive `%d` format specifiers in a filename template causes a memory leak. Versions 7.1.2-0 and 6.9.13-26 fix the 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-2025-53019?

CVE-2025-53019 is a low-severity vulnerability. It was published on July 14, 2025 and has a CVSS 3.1 base score of 3.7 (LOW).

How severe is CVE-2025-53019?

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-53019?

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-2025-53019?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-53019 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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