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CVE-2025-54271

5.6 · MEDIUM

Creative Cloud Desktop versions 6.7.0.278 and earlier are affected by a Time-of-check Time-of-use (TOCTOU) Race Condition vulnerability that could lead to arbitrary file system write.

Published Oct 15, 2025CWE-367EPSS 0.14%

Overview

CVE-2025-54271 is a medium-severity vulnerability. It was published on October 15, 2025 and has a CVSS 3.1 base score of 5.6 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.6, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

Creative Cloud Desktop versions 6.7.0.278 and earlier are affected by a Time-of-check Time-of-use (TOCTOU) Race Condition vulnerability that could lead to arbitrary file system write. A low-privileged attacker could exploit the timing between the check and use of a resource, potentially allowing unauthorized modifications to files. Exploitation of this issue does not require user interaction.

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-2025-54271?

CVE-2025-54271 is a medium-severity vulnerability. It was published on October 15, 2025 and has a CVSS 3.1 base score of 5.6 (MEDIUM).

How severe is CVE-2025-54271?

This vulnerability has a CVSS 3.1 base score of 5.6, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-54271?

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-2025-54271?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-54271 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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