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CVE-2025-25205

8.2 · HIGH

Audiobookshelf is a self-hosted audiobook and podcast server.

Published Feb 12, 2025CWE-202EPSS 4.75%

Overview

CVE-2025-25205 is a high-severity vulnerability. It was published on February 12, 2025 and has a CVSS 3.1 base score of 8.2 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

Audiobookshelf is a self-hosted audiobook and podcast server. Starting in version 2.17.0 and prior to version 2.19.1, a flaw in the authentication bypass logic allows unauthenticated requests to match certain unanchored regex patterns in the URL. Attackers can craft URLs containing substrings like "/api/items/1/cover" in a query parameter (?r=/api/items/1/cover) to partially bypass authentication or trigger server crashes under certain routes. This could lead to information disclosure of otherwise protected data and, in some cases, a complete denial of service (server crash) if downstream code expects an authenticated user object. Version 2.19.1 contains a patch for 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-2025-25205?

CVE-2025-25205 is a high-severity vulnerability. It was published on February 12, 2025 and has a CVSS 3.1 base score of 8.2 (HIGH).

How severe is CVE-2025-25205?

This vulnerability has a CVSS 3.1 base score of 8.2, 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-2025-25205?

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-2025-25205?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-25205 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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