CVE-2022-32331
📋 TL;DR
Fast Food Ordering System v1.0 contains a SQL injection vulnerability in the admin categories view page. Attackers can manipulate the 'id' parameter to execute arbitrary SQL commands, potentially compromising the database. This affects all deployments of the vulnerable software version.
💻 Affected Systems
- Fast Food Ordering System
📦 What is this software?
Fast Food Ordering System by Fast Food Ordering System Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential server takeover via SQL injection to RCE chaining.
Likely Case
Unauthorized data access, modification of food categories/pricing, and potential admin account compromise.
If Mitigated
Limited impact with proper input validation and WAF rules blocking malicious SQL patterns.
🎯 Exploit Status
Exploit requires admin panel access, but SQL injection payloads are well-documented and easy to weaponize.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
1. Download latest version if available from vendor. 2. Replace vulnerable files. 3. Test functionality. Since no official patch exists, implement workarounds or migrate to secure alternative.
🔧 Temporary Workarounds
Input Validation Filter
allAdd parameter validation to view_category.php to accept only numeric IDs
Edit /ffos/admin/categories/view_category.php and add: if(!is_numeric($_GET['id'])) { die('Invalid parameter'); }
WAF Rule Implementation
linuxDeploy web application firewall rules to block SQL injection patterns
For ModSecurity: SecRule ARGS_GET:id "@detectSQLi" "id:1001,phase:2,deny,status:403"
🧯 If You Can't Patch
- Isolate the admin panel behind VPN or internal network only
- Implement strict network segmentation and database access controls
🔍 How to Verify
Check if Vulnerable:
Test with payload: /ffos/admin/categories/view_category.php?id=1' OR '1'='1
Check Version:
Check software version in admin panel or readme files
Verify Fix Applied:
Test with same payload - should return error or no data instead of executing SQL
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in web logs
- Multiple failed login attempts followed by SQL payloads
- Requests with SQL keywords in id parameter
Network Indicators:
- HTTP requests containing UNION, SELECT, OR 1=1 in query parameters
- Abnormal database query patterns from web server
SIEM Query:
source="web_logs" AND (url="*view_category.php*" AND (query="*UNION*" OR query="*SELECT*" OR query="*OR 1=1*"))