CVE-2025-68852 in Court Reservation Plugin
Summary
by MITRE • 02/20/2026
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in webmuehle Court Reservation court-reservation allows Reflected XSS.This issue affects Court Reservation: from n/a through <= 1.10.9.
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Analysis
by VulDB Data Team • 02/22/2026
This vulnerability represents a classic reflected cross-site scripting flaw that undermines the security of the webmuehle Court Reservation system. The issue stems from inadequate input sanitization during web page generation processes, where user-supplied data is directly incorporated into dynamically generated HTML content without proper neutralization. This weakness creates an exploitable pathway for attackers to inject malicious scripts that execute in the context of victims' browsers when they view affected pages. The vulnerability specifically impacts versions of the court-reservation application up to and including 1.10.9, indicating a widespread exposure across multiple releases of the software. The reflected nature of this XSS means that malicious input must be crafted to be included in a request that is immediately reflected back to the user, making it particularly dangerous for web applications that process user input through URL parameters or form fields.
The technical implementation of this vulnerability involves the application failing to properly escape or encode user-controllable data before rendering it within HTML output contexts. When users provide input through web forms or URL parameters, the system does not adequately sanitize this data to prevent the execution of embedded script code. This flaw aligns with CWE-79 which specifically addresses cross-site scripting vulnerabilities, and more broadly with CWE-116 which deals with improper neutralization of data within the context of a command or query. The attack surface is particularly concerning because court reservation systems often handle sensitive personal information and may be accessed by multiple users simultaneously, amplifying the potential impact of successful exploitation.
The operational impact of this vulnerability extends beyond simple script execution, as it can enable attackers to perform session hijacking, steal sensitive user data, manipulate application functionality, or redirect users to malicious websites. An attacker could craft a malicious URL containing script code that, when clicked by an unsuspecting user, would execute within the victim's browser context with the privileges of that user. This capability could allow for unauthorized access to reservation data, modification of court schedules, or even complete compromise of user accounts within the system. The reflected nature of the attack means that successful exploitation requires user interaction with a specially crafted link, making social engineering a critical component of the attack vector. Security professionals should consider this vulnerability in the context of ATT&CK technique T1566 which covers spearphishing with a link, as the attack often relies on users being tricked into clicking malicious URLs.
Mitigation strategies should focus on implementing robust input validation and output encoding mechanisms throughout the application's codebase. The most effective approach involves applying context-specific encoding to all user-supplied data before rendering it in HTML contexts, utilizing established libraries and frameworks that automatically handle such sanitization. Additionally, implementing proper content security policies can provide an additional layer of defense against script execution. Organizations should immediately upgrade to patched versions of the court-reservation software and conduct comprehensive code reviews to identify other potential injection points. Regular security testing including automated scanning and manual penetration testing should be performed to ensure that similar vulnerabilities are not present in other components of the system. The remediation process should also include implementing proper logging and monitoring to detect potential exploitation attempts and establish baseline security practices for future development cycles to prevent similar issues from arising in the codebase.