CVE-2020-25905
📋 TL;DR
This SQL injection vulnerability in Sourcecodester Mobile Shop System 1.0 allows attackers to execute arbitrary SQL commands via the email parameter in login pages. Attackers can potentially bypass authentication, access sensitive data, or compromise the database server. Any organization using this specific PHP/MySQL e-commerce system is affected.
💻 Affected Systems
- Sourcecodester Mobile Shop System
📦 What is this software?
Mobile Shop System by Mobile Shop System Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, remote code execution on the database server, and potential full system takeover.
Likely Case
Authentication bypass allowing unauthorized admin access, extraction of user credentials and sensitive customer data, and potential data manipulation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection, though other vulnerabilities may still exist.
🎯 Exploit Status
Multiple public exploit scripts available. Simple SQL injection via email parameter requires no authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
1. Download latest version if available from Sourcecodester. 2. Replace vulnerable files (login.php, LoginAsAdmin.php). 3. Implement parameterized queries. 4. Validate and sanitize all user inputs.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd input validation to email parameter to reject SQL injection attempts
Modify PHP files to validate email format and sanitize input
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement network segmentation to limit database server exposure
🔍 How to Verify
Check if Vulnerable:
Test email parameter with SQL injection payloads like ' OR '1'='1
Check Version:
Check PHP files for version information or compare with original 1.0 release
Verify Fix Applied:
Attempt SQL injection tests and verify they are blocked or sanitized
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts with SQL-like patterns
- Admin login from unexpected IP addresses
Network Indicators:
- HTTP POST requests with SQL keywords in email parameter
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND (email="*OR*" OR email="*UNION*" OR email="*SELECT*")