CVE-2026-2201
📋 TL;DR
This CVE describes a cross-site scripting (XSS) vulnerability in ZeroWdd studentmanager's leave request functionality. Attackers can inject malicious scripts via the 'Reason for Leave' parameter, potentially compromising user sessions. The vulnerability affects all versions up to commit 2151560fc0a50ec00426785ec1e01a3763b380d9.
💻 Affected Systems
- ZeroWdd studentmanager
⚠️ Risk & Real-World Impact
Worst Case
Attackers could steal session cookies, perform actions as authenticated users, redirect to malicious sites, or install malware on user systems.
Likely Case
Session hijacking, credential theft, or defacement of the application interface.
If Mitigated
Limited impact with proper input validation and output encoding in place.
🎯 Exploit Status
Exploit details are publicly available, and XSS attacks are commonly weaponized in real-world attacks.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch exists. Consider implementing input validation and output encoding in the LeaveController.java file, specifically in the addLeave function.
🔧 Temporary Workarounds
Input Validation and Output Encoding
allImplement server-side validation of the 'Reason for Leave' parameter and encode all user-controlled output.
Content Security Policy
allImplement a strict Content Security Policy header to mitigate XSS impact.
🧯 If You Can't Patch
- Implement a web application firewall (WAF) with XSS protection rules
- Disable or restrict access to the vulnerable leave request functionality
🔍 How to Verify
Check if Vulnerable:
Test by submitting a script payload (e.g., <script>alert('XSS')</script>) in the 'Reason for Leave' field and check if it executes.Check Version:
Check the git commit hash or version metadata in the application.Verify Fix Applied:
After implementing fixes, test with the same payload to ensure it's properly sanitized or blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual or long strings in leave request logs containing script tags or JavaScript
Network Indicators:
- HTTP requests with script payloads in parameters
SIEM Query:
source="application_logs" AND ("<script>" OR "javascript:" OR "onerror=" OR "onload=")