CVE-2022-28025
📋 TL;DR
CVE-2022-28025 is a critical SQL injection vulnerability in Student Grading System v1.0 that allows attackers to execute arbitrary SQL commands via the /student-grading-system/rms.php?page=school_year endpoint. This affects all users running the vulnerable version of this educational software, potentially exposing sensitive student and administrative data.
💻 Affected Systems
- Student Grading 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 sensitive student records, grades, and personal information, with potential for data exfiltration or manipulation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
Simple SQL injection via URL parameter with public proof-of-concept available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
Input Validation Filter
allImplement input validation to sanitize the 'page' parameter before processing.
Modify rms.php to validate/sanitize $_GET['page'] parameter
🧯 If You Can't Patch
- Restrict access to the vulnerable endpoint using network ACLs or authentication
- Implement database user with minimal privileges for the application
🔍 How to Verify
Check if Vulnerable:
Test the endpoint with SQL injection payloads: /student-grading-system/rms.php?page=school_year' OR '1'='1Check Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Test with same payloads after fix - should return error or no data leakage📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple requests with SQL keywords in parameters
Network Indicators:
- HTTP requests containing SQL injection patterns to the vulnerable endpoint
SIEM Query:
web.url:*rms.php?page=* AND (web.uri:*OR* OR web.uri:*UNION* OR web.uri:*SELECT*)