CVE-2025-4764
📋 TL;DR
This SQL injection vulnerability in Aida Computer Information Technology's Hotel Guest Hotspot software allows attackers to execute arbitrary SQL commands on the database. It affects all versions through 22012026, potentially compromising guest data and hotel systems.
💻 Affected Systems
- Aida Computer Information Technology Inc. Hotel Guest Hotspot
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, privilege escalation, and potential remote code execution on underlying systems.
Likely Case
Unauthorized access to guest information, modification of hotel operations data, and potential lateral movement within hotel networks.
If Mitigated
Limited data exposure if proper input validation and database permissions are enforced.
🎯 Exploit Status
SQL injection vulnerabilities typically have low exploitation complexity. The CVE description suggests unauthenticated access is possible.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown - vendor unresponsive
Vendor Advisory: None available
Restart Required: No
Instructions:
No official patch available. Consider workarounds or replacing the software.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
Input Validation Filter
allImplement application-level input validation to sanitize user inputs before processing.
🧯 If You Can't Patch
- Isolate the Hotel Guest Hotspot system on a separate network segment with strict firewall rules.
- Implement database-level controls: use least privilege accounts, enable query logging, and restrict database permissions.
🔍 How to Verify
Check if Vulnerable:
Check application version against affected range. Test with SQL injection payloads in input fields (ethical testing only).Check Version:
Check application interface or configuration files for version information.Verify Fix Applied:
Verify WAF rules are blocking SQL injection attempts or that input validation is properly implemented.📡 Detection & Monitoring
Log Indicators:
- Unusual database queries
- SQL syntax errors in application logs
- Multiple failed login attempts with SQL-like patterns
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, etc.)
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND ("SELECT" OR "UNION" OR "' OR '1'='1") AND status=200