CVE-2025-63624
📋 TL;DR
This SQL injection vulnerability in Shandong Kede Electronics' IoT smart water meter monitoring platform allows remote attackers to execute arbitrary SQL commands through the imei_list.aspx file. Attackers can potentially gain unauthorized access, manipulate data, or execute arbitrary code on affected systems. Organizations using version 1.0 of this platform are at risk.
💻 Affected Systems
- Shandong Kede Electronics Co., Ltd IoT smart water meter monitoring platform
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise allowing attacker to execute arbitrary code, steal sensitive data, manipulate water meter readings, and pivot to other network systems.
Likely Case
Data exfiltration, unauthorized access to monitoring data, potential manipulation of water meter readings and billing information.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Public GitHub repository contains exploit details. SQL injection vulnerabilities are commonly weaponized due to their prevalence and impact.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Contact vendor for updated version or implement workarounds.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Network Segmentation
allIsolate the monitoring platform from internet and restrict access to authorized networks only
🧯 If You Can't Patch
- Implement strict input validation and parameterized queries in the imei_list.aspx file
- Disable or restrict access to the vulnerable endpoint if not essential for operations
🔍 How to Verify
Check if Vulnerable:
Test the imei_list.aspx endpoint with SQL injection payloads or check if running version 1.0 of the platformCheck Version:
Check platform documentation or web interface for version informationVerify Fix Applied:
Verify that SQL injection attempts are blocked and proper input validation is implemented📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed login attempts
- Suspicious requests to imei_list.aspx
Network Indicators:
- SQL injection patterns in HTTP requests
- Unusual outbound database connections
SIEM Query:
source="web_logs" AND (uri="*imei_list.aspx*" AND (payload="*' OR *" OR payload="*;--*" OR payload="*UNION*"))