CVE-2024-27102
NixOS vulnerability analysis and mitigation

Overview

Wings, the server control plane for Pterodactyl Panel, has been found to contain a critical vulnerability (CVE-2024-27102) that affects all versions prior to 1.11.9. The vulnerability was discovered in March 2024 and received a CVSS score of 9.9, indicating critical severity. This security flaw potentially allows attackers with existing server access to break out of their assigned limits and access files and directories on the host system (GitHub Advisory).

Technical details

The vulnerability is classified under multiple CWE categories including CWE-22 (Path Traversal), CWE-362 (Race Condition), and CWE-363 (Race Condition Enabling Link Following). The issue specifically involves a symlink race condition in the server filesystem that could allow reading files outside of a server's base directory (sandbox root). To exploit this vulnerability, an attacker must have an existing 'server' allocated and controlled by Wings (NVD, GitHub Advisory).

Impact

The vulnerability enables potential access to files and directories on the host system beyond the intended sandbox environment. While the full scope of impact is not completely determined, it has been confirmed that attackers can read files outside of a server's base directory, potentially exposing sensitive system data and configurations (Security Online, GitHub Advisory).

Exploitability

The vulnerability requires an attacker to have an existing server allocated and controlled by Wings to exploit the flaw. Detailed exploitation information is currently under embargo until March 27th, 2024 at 18:00 UTC (GitHub Advisory).

Mitigation and workarounds

The vulnerability has been patched in Wings version 1.11.9. Due to the severity of the issue, a complete rewrite of the entire server filesystem was necessary. There are no known workarounds for this vulnerability, making it crucial for users to update to version 1.11.9 or newer (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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