CVE-2017-17582
📋 TL;DR
CVE-2017-17582 is a critical SQL injection vulnerability in FS Grubhub Clone 1.0 that allows attackers to execute arbitrary SQL commands via the /food keywords parameter. This affects all deployments of FS Grubhub Clone 1.0, potentially exposing database contents including user credentials and sensitive data.
💻 Affected Systems
- FS Grubhub Clone
📦 What is this software?
Grubhub Clone by Grubhub Clone Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, remote code execution via database functions, and full system takeover.
Likely Case
Database information disclosure including user credentials, personal data, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Multiple public exploit scripts available, requiring minimal technical skill to execute.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
No official patch available. Consider migrating to a different platform or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Input Validation Filter
allImplement server-side input validation to sanitize the keywords parameter
Add input sanitization in PHP code: $keywords = mysqli_real_escape_string($connection, $_GET['keywords']);
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns
ModSecurity rule: SecRule ARGS:keywords "@detectSQLi" "id:1001,phase:2,deny"
🧯 If You Can't Patch
- Isolate the application behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test the /food endpoint with SQL injection payloads like: /food?keywords=' OR '1'='1Check Version:
Check application version in admin panel or configuration filesVerify Fix Applied:
Test with SQL injection payloads and verify they are rejected or sanitized📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts following SQL payloads
- Suspicious keywords parameter values containing SQL syntax
Network Indicators:
- HTTP requests with SQL keywords in parameters
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND (keywords="*UNION*" OR keywords="*SELECT*" OR keywords="*OR 1=1*")