CVE-2025-11434
📋 TL;DR
CVE-2025-11434 is an SQL injection vulnerability in itsourcecode Student Transcript Processing System 1.0 that allows attackers to manipulate database queries through the uname parameter in /login.php. This enables unauthorized access to sensitive student transcript data and potentially full database compromise. Organizations using this specific software version are affected.
💻 Affected Systems
- itsourcecode Student Transcript Processing System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, authentication bypass, and potential remote code execution on the database server.
Likely Case
Unauthorized access to student transcript data, grade manipulation, and extraction of sensitive personal information from the database.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or failed login attempts.
🎯 Exploit Status
Exploit code is publicly available on GitHub, making this easily exploitable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://itsourcecode.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement parameterized queries or input validation for the uname parameter in login.php
Modify login.php to use prepared statements: $stmt = $conn->prepare('SELECT * FROM users WHERE username = ?'); $stmt->bind_param('s', $uname);
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting the login endpoint
Add WAF rule: Detect and block SQL injection patterns in POST parameters
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement network segmentation and strict access controls to limit potential damage
🔍 How to Verify
Check if Vulnerable:
Test the login.php endpoint with SQL injection payloads like: uname=admin' OR '1'='1Check Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Test with SQL injection payloads after implementing fixes - should return proper error messages or failed authentication📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL-like patterns
- Successful logins from unexpected IP addresses
Network Indicators:
- HTTP POST requests to /login.php containing SQL keywords
- Unusual database query patterns from web server
SIEM Query:
source=web_logs AND uri_path='/login.php' AND (request_body CONTAINS 'OR' OR request_body CONTAINS 'UNION' OR request_body CONTAINS 'SELECT')