CVE-2017-17614
📋 TL;DR
CVE-2017-17614 is a critical SQL injection vulnerability in Food Order Script 1.0 that allows attackers to execute arbitrary SQL commands via the /list city parameter. This affects all installations of Food Order Script 1.0, potentially compromising the entire database and web application. Attackers can steal sensitive data, modify database contents, or gain administrative access.
💻 Affected Systems
- Food Order Script
📦 What is this software?
Hotel Restaurant Reviews And Feedback Script by Hotel Restaurant Reviews And Feedback Script Project
View all CVEs affecting Hotel Restaurant Reviews And Feedback Script →
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, remote code execution, and full system takeover.
Likely Case
Database information disclosure including user credentials, payment information, and sensitive business data.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
Multiple public exploit scripts available. Exploitation requires no authentication and minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: N/A
Vendor Advisory: N/A
Restart Required: No
Instructions:
No official patch available. Consider migrating to a maintained alternative or implementing custom fixes.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for the city parameter.
N/A - Requires code modification
Web Application Firewall (WAF)
allDeploy WAF with SQL injection protection rules to block malicious requests.
N/A - Configuration dependent on WAF solution
🧯 If You Can't Patch
- Isolate the vulnerable system from the internet and restrict access to trusted networks only.
- Implement network segmentation and monitor all database access attempts.
🔍 How to Verify
Check if Vulnerable:
Test the /list endpoint with SQL injection payloads in the city parameter (e.g., city=1' OR '1'='1).
Check Version:
Check script files for version information or review installation documentation.
Verify Fix Applied:
Verify that SQL injection payloads no longer execute and return appropriate error messages or sanitized responses.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries
Network Indicators:
- HTTP requests with SQL keywords in city parameter
- Unusual database connection patterns from web server
SIEM Query:
source="web_logs" AND (city="*' OR*" OR city="*;--*" OR city="*UNION*" OR city="*SELECT*" OR city="*INSERT*" OR city="*UPDATE*" OR city="*DELETE*")