CVE-2025-62614
Overview
CVE-2025-62614 is a known-severity vulnerability. It was published on October 22, 2025.
Technical Description
BookLore is a self-hosted web app for organizing and managing personal book collections. In versions 1.8.1 and prior, an authentication bypass vulnerability in the BookMediaController allows any unauthenticated user to access and download book covers, thumbnails, and complete PDF/CBX page content without authorization. The vulnerability exists because multiple media endpoints lack proper access control annotations, and the CoverJwtFilter continues request processing even when no authentication token is provided. This enables attackers to enumerate and exfiltrate all book content from the system, bypassing the intended download permissions (canDownload) entirely. This issue has been patched via commit b226c43.
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-2025-62614?
CVE-2025-62614 is a known-severity vulnerability. It was published on October 22, 2025.
How severe is CVE-2025-62614?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-62614?
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-2025-62614?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-62614 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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