CVE-2025-63624: IoT Smart Water Meter Platform SQLi Flaw

CVE-2025-63624 Overview

CVE-2025-63624 is a SQL Injection vulnerability affecting the Shandong Kede Electronics Co., Ltd IoT smart water meter monitoring platform version 1.0. This vulnerability allows a remote attacker to execute arbitrary code via the imei_list.aspx file, potentially compromising the entire IoT monitoring infrastructure.

Critical Impact
This SQL injection vulnerability enables unauthenticated remote code execution through the IoT water meter monitoring platform, potentially allowing attackers to compromise critical infrastructure systems, access sensitive monitoring data, and pivot to connected IoT devices.

Affected Products

Shandong Kede Electronics Co., Ltd IoT smart water meter monitoring platform v.1.0
Systems utilizing the vulnerable imei_list.aspx endpoint

Discovery Timeline

2026-02-03 - CVE-2025-63624 published to NVD
2026-02-04 - Last updated in NVD database

Technical Details for CVE-2025-63624

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in the imei_list.aspx file of the IoT smart water meter monitoring platform, where user-supplied input is not properly sanitized before being incorporated into SQL queries.

The vulnerability requires no authentication and can be exploited remotely over the network with low attack complexity. A successful exploit grants attackers the ability to read, modify, or delete database contents, and in this case, achieve arbitrary code execution on the underlying system. Given the IoT nature of this platform, compromising it could affect water meter monitoring operations and potentially expose connected infrastructure.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the imei_list.aspx file. The application directly concatenates user-controlled input into SQL statements without proper sanitization or the use of prepared statements. This allows attackers to inject malicious SQL code that gets executed by the database server, ultimately leading to remote code execution through database features such as xp_cmdshell or similar functionality.

Attack Vector

The attack vector is network-based, requiring no user interaction or prior authentication. An attacker can craft malicious HTTP requests targeting the imei_list.aspx endpoint with SQL injection payloads. The exploitation flow typically involves:

Identifying the vulnerable parameter in requests to imei_list.aspx
Injecting SQL syntax to manipulate database queries
Escalating from SQL injection to code execution using database server features
Gaining control over the monitoring platform and potentially connected IoT devices

Technical details and proof-of-concept information are available at the GitHub PoC Repository for security research purposes.

Detection Methods for CVE-2025-63624

Indicators of Compromise

Anomalous HTTP requests to imei_list.aspx containing SQL syntax characters such as single quotes, semicolons, UNION statements, or encoded variants
Database error messages exposed in web application responses indicating SQL parsing failures
Unusual database queries or stored procedure executions, particularly those involving command execution
Unexpected outbound network connections from the database server or web server hosting the platform

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the imei_list.aspx endpoint
Implement database activity monitoring to identify suspicious query patterns, especially those attempting to execute system commands
Configure intrusion detection systems (IDS) with signatures for common SQL injection payloads and IoT platform exploitation techniques
Monitor web server access logs for repeated requests to imei_list.aspx with unusual parameter values

Monitoring Recommendations

Enable verbose logging on the web application server to capture all requests to sensitive endpoints
Set up alerts for database queries containing command execution functions or attempts to access system tables
Monitor for any changes to critical database tables or unauthorized data exfiltration
Implement network segmentation monitoring to detect lateral movement from compromised IoT management systems

How to Mitigate CVE-2025-63624

Immediate Actions Required

Restrict network access to the IoT smart water meter monitoring platform to trusted IP addresses only
Implement a Web Application Firewall with SQL injection protection in front of the vulnerable application
If possible, disable or restrict access to the imei_list.aspx endpoint until a patch is available
Review and revoke any database privileges that allow command execution from SQL queries
Audit system logs and database logs for signs of prior exploitation

Patch Information

At the time of publication, no official vendor patch has been identified for this vulnerability. Organizations should contact Shandong Kede Electronics Co., Ltd directly for remediation guidance and monitor for security updates. In the absence of an official patch, implement the recommended workarounds and compensating controls.

Workarounds

Deploy network-level access controls to limit exposure of the monitoring platform to the internet
Implement input validation and parameterized queries at the application level if source code modification is possible
Use a reverse proxy or WAF to filter malicious SQL injection payloads before they reach the application
Isolate the IoT monitoring platform in a segmented network zone to limit blast radius in case of compromise
Disable database features that enable command execution, such as xp_cmdshell on SQL Server

bash

# Example: Network-level mitigation using iptables to restrict access
# Allow only trusted management IPs to access the monitoring platform
iptables -A INPUT -p tcp --dport 80 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -j DROP