CVE-2022-42235 in Student Clearance System
Summary
by MITRE • 10/11/2022
A Stored XSS issue in Student Clearance System v.1.0 allows the injection of arbitrary JavaScript in the Student registration form.
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Analysis
by VulDB Data Team • 05/20/2025
The stored cross-site scripting vulnerability in Student Clearance System version 1.0 represents a critical security flaw that enables attackers to inject malicious JavaScript code into the system's student registration form. This vulnerability falls under the CWE-79 category of Cross-Site Scripting and specifically manifests as a stored XSS attack where malicious payloads persist in the application's database and execute whenever the affected page is accessed. The vulnerability exists due to insufficient input validation and output encoding mechanisms within the student registration form processing logic, allowing untrusted data to be stored without proper sanitization before being rendered back to users.
The technical implementation of this flaw occurs when the application fails to properly sanitize user inputs submitted through the registration form fields, particularly those that may contain HTML or JavaScript content. When legitimate users view the stored registration data or when administrators access the registration records, the malicious scripts execute within the context of the victim's browser session. This creates a persistent threat vector that can affect any user who accesses the affected pages, including system administrators and other authorized personnel who may view the stored student information. The vulnerability is particularly concerning because it operates at the application layer, targeting the web interface rather than underlying system components, making it accessible through standard web browser interactions.
The operational impact of this stored XSS vulnerability extends beyond simple script execution, as it can enable attackers to perform various malicious activities including session hijacking, credential theft, data exfiltration, and privilege escalation. An attacker could craft a payload that steals session cookies from administrators, allowing unauthorized access to privileged accounts with elevated permissions. The vulnerability also enables the execution of malicious actions such as redirecting users to phishing sites, defacing the application interface, or even establishing persistent backdoors within the system. Given that student registration data typically contains sensitive personal information including names, contact details, and academic records, successful exploitation could lead to significant privacy violations and data breaches that violate regulatory compliance requirements such as gdpr and hipaa.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application's data flow. The primary defense involves sanitizing all user inputs before storage and properly encoding data before rendering it in web pages, utilizing context-specific encoding for html, javascript, and url contexts. Application developers should implement proper content security policies to restrict script execution and employ secure coding practices including parameterized queries and input sanitization libraries. Additionally, regular security testing including automated vulnerability scanning and manual penetration testing should be conducted to identify similar flaws in other application components. The implementation of web application firewalls and security monitoring systems can provide additional layers of protection by detecting and blocking suspicious script patterns. Organizations should also establish proper access controls and privilege management to limit the impact of potential exploitation, ensuring that only authorized personnel can access sensitive student data and registration forms. This vulnerability demonstrates the critical importance of implementing defense-in-depth strategies and continuous security awareness training for developers to prevent such flaws from occurring in web applications.