CVE-2025-53534
vulnerability analysis and mitigation

Overview

RatPanel, a server operation and maintenance management panel, contains a critical authentication bypass vulnerability (CVE-2025-53534) affecting versions 2.3.19 through 2.5.5. The vulnerability was discovered in August 2025 and allows attackers who obtain the backend login path to execute system commands or take over hosts managed by the panel without authentication. The issue stems from improper path handling in the CleanPath middleware provided by the github.com/go-chi/chi package (GitHub Advisory).

Technical details

The vulnerability occurs because RatPanel's CleanPath middleware does not process r.URL.Path properly, leading to an authentication bypass. When a request is made to a URL like 'http://localhost:8080//api/ws/ssh', the parsed r.URL.Path becomes '//api/ws/ssh', while the route path inside the chi router is cleaned to '/api/ws/ssh'. This inconsistency in path handling allows bypassing the must_login middleware since '/api/ws' does not match '//api/ws'. The vulnerability has been assigned a CVSS v4.0 score of 7.7 (High) with the vector string CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N (GitHub Advisory).

Impact

Successful exploitation of this vulnerability allows attackers to execute arbitrary system commands and potentially take over hosts managed by the panel. The vulnerability affects all APIs' authorization mechanisms and is particularly dangerous for systems with exposed admin panel login URLs or weak login URL paths. The impact is severe as it enables unauthorized access to dangerous interfaces such as /api/ws/exec and /api/ws/ssh (GitHub Advisory).

Mitigation and workarounds

The vulnerability has been patched in version 2.5.6. Users are strongly advised to upgrade to this version to address the security issue. The fix includes optimizations to the route path retrieval method and improvements to the firewall rule creation process (GitHub Release).

Additional resources


SourceThis report was generated using AI

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