CVE-2025-52327
📋 TL;DR
A SQL injection vulnerability in Restaurant Order System 1.0 allows local attackers to extract sensitive database information through the payment.php file. This affects systems running the vulnerable software version, potentially exposing customer data, payment details, and other sensitive information stored in the database.
💻 Affected Systems
- Restaurant Order System
📦 What is this software?
Restaurant Order System by Carmelogarcia
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including customer PII, payment information, administrative credentials, and potential lateral movement to other systems.
Likely Case
Extraction of sensitive customer data (names, addresses, payment details) and potential privilege escalation within the application.
If Mitigated
Limited information disclosure if proper input validation and parameterized queries are implemented.
🎯 Exploit Status
Exploitation requires local access to the system. The gist.github.com reference appears to contain exploit details.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
1. Check vendor website for updated version. 2. If no patch available, implement workarounds. 3. Replace vulnerable payment.php with secure version using parameterized queries.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd input validation and sanitization to payment.php to prevent SQL injection
# Add input validation in PHP code
# Example: $input = mysqli_real_escape_string($connection, $_POST['input']);
Web Application Firewall
allDeploy WAF with SQL injection protection rules
# Configure WAF rules to block SQL injection patterns
# Example mod_security rule: SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny"
🧯 If You Can't Patch
- Implement network segmentation to restrict access to the vulnerable system
- Enable detailed logging and monitoring for SQL injection attempts on payment.php
🔍 How to Verify
Check if Vulnerable:
Review payment.php source code for unsanitized user input in SQL queries. Test with SQL injection payloads in payment-related parameters.Check Version:
# Check system version in admin panel or readme files
# Typically found in: /admin/panel or /README.txtVerify Fix Applied:
Test with SQL injection payloads after implementing fixes. Verify parameterized queries are used and input validation is properly implemented.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed login attempts from payment.php
- Database error messages containing SQL syntax
Network Indicators:
- Unusual database connection patterns
- Large data transfers from database server
SIEM Query:
source="web_logs" AND (url="*/payment.php*" AND (message="*SQL*" OR message="*syntax*" OR message="*union*"))