CVE-2023-41503
📋 TL;DR
CVE-2023-41503 is a critical SQL injection vulnerability in Student Enrollment In PHP v1.0 that allows attackers to execute arbitrary SQL commands through the login function. This affects all users running this specific software version, potentially leading to complete database compromise.
💻 Affected Systems
- Student Enrollment In PHP
📦 What is this software?
Student Enrollment by Code Projects
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Authentication bypass leading to unauthorized access, data exfiltration of student records, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries in place, though authentication bypass may still be possible.
🎯 Exploit Status
SQL injection via login function is trivial to exploit with standard SQL injection techniques. Public proof-of-concept exists in GitHub repository.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries in login.php, specifically in the authentication function. Replace raw SQL concatenation with prepared statements.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and sanitization for login credentials before processing SQL queries.
Modify login.php to include: $username = mysqli_real_escape_string($conn, $_POST['username']);
$password = mysqli_real_escape_string($conn, $_POST['password']);
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns in login requests.
Configure WAF to block requests containing SQL keywords like UNION, SELECT, INSERT, DELETE, DROP, OR 1=1 in login parameters
🧯 If You Can't Patch
- Isolate the Student Enrollment system from internet access and restrict to internal network only
- Implement network segmentation and strict firewall rules to limit database server access
🔍 How to Verify
Check if Vulnerable:
Test login function with SQL injection payloads like: ' OR '1'='1 in username field. If login succeeds without valid credentials, system is vulnerable.
Check Version:
Check PHP files for version comments or configuration files containing 'v1.0' or version information
Verify Fix Applied:
Attempt SQL injection payloads after fix implementation. Successful login should only occur with valid credentials.
📡 Detection & Monitoring
Log Indicators:
- Multiple failed login attempts with SQL keywords in username field
- Successful logins with suspicious usernames containing SQL syntax
Network Indicators:
- HTTP POST requests to login.php containing SQL injection patterns
- Unusual database query patterns from web server
SIEM Query:
source="web_logs" AND uri="/login.php" AND (username="*UNION*" OR username="*SELECT*" OR username="*OR 1=1*")