CVE-2025-13300: Internet Lab Management System SQLi Flaw

CVE-2025-13300 Overview

A SQL injection vulnerability has been discovered in itsourcecode Web-Based Internet Laboratory Management System version 1.0. The vulnerability exists in the /settings/controller.php file, where improper handling of user input allows attackers to inject malicious SQL commands. This flaw can be exploited remotely, enabling unauthorized access to sensitive database information, modification of data, or potential disruption of database services.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive data from the underlying database without authentication, potentially compromising the entire laboratory management system.

Affected Products

• itsourcecode Web-Based Internet Laboratory Management System 1.0

Discovery Timeline

• 2025-11-17 - CVE-2025-13300 published to NVD
• 2025-11-19 - Last updated in NVD database

Technical Details for CVE-2025-13300

Vulnerability Analysis

This vulnerability affects the /settings/controller.php file in the Web-Based Internet Laboratory Management System. The root cause lies in insufficient input validation and sanitization, allowing attackers to manipulate database queries through crafted input. As a network-accessible vulnerability with low attack complexity, exploitation requires no authentication or user interaction, making it particularly dangerous for internet-facing deployments.

The exploit has been publicly disclosed, increasing the risk of opportunistic attacks against unpatched systems. The vulnerability allows attackers to potentially read confidential data from the database, modify or delete existing records, and in some configurations, execute administrative operations on the database server.

Root Cause

The vulnerability stems from improper neutralization of special elements used in SQL commands (CWE-89) and more broadly, improper neutralization of special elements in output (CWE-74). The affected code fails to properly validate and sanitize user-supplied input before incorporating it into SQL queries, allowing malicious SQL code to be injected and executed by the database engine.

Attack Vector

The attack vector is network-based, meaning attackers can exploit this vulnerability remotely over the internet or internal network. The exploitation does not require any privileges or user interaction, and the attack complexity is low. An attacker can craft malicious HTTP requests targeting the /settings/controller.php endpoint with SQL injection payloads to manipulate database queries.

Typical SQL injection attack patterns that could be used include UNION-based injections to extract data from other tables, boolean-based blind injection to enumerate database contents, and time-based blind injection techniques when direct output is not available. For detailed technical analysis of the vulnerability, refer to the GitHub CVE Issue and VulDB entry #332640.

Detection Methods for CVE-2025-13300

Indicators of Compromise

• Unusual or malformed HTTP requests to /settings/controller.php containing SQL syntax characters (single quotes, double dashes, semicolons, UNION keywords)
• Database error messages appearing in web application logs or responses
• Unexpected database queries in database server logs, particularly those with UNION SELECT statements or time delay functions
• Anomalous data access patterns or unauthorized data modifications in the laboratory management system

Detection Strategies

• Deploy Web Application Firewall (WAF) rules specifically configured to detect SQL injection patterns in requests to the affected endpoint
• Implement database activity monitoring to identify suspicious queries originating from the web application
• Configure intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
• Enable verbose logging on the web server and database to capture potential exploitation attempts

Monitoring Recommendations

• Monitor web server access logs for requests to /settings/controller.php with unusual query parameters or encoded payloads
• Set up alerts for database errors that may indicate failed SQL injection attempts
• Review application logs regularly for patterns consistent with automated SQL injection scanning tools
• Track changes to database records that cannot be attributed to legitimate user activity

How to Mitigate CVE-2025-13300

Immediate Actions Required

• Restrict network access to the Web-Based Internet Laboratory Management System to trusted IP addresses only if possible
• Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
• Consider taking the application offline if it contains sensitive data and no patch is available
• Conduct a database audit to identify any evidence of prior exploitation or data compromise

Patch Information

At the time of publication, no official patch has been released by the vendor for this vulnerability. Organizations should monitor the itsourcecode website for security updates. Consider reaching out to the vendor directly for remediation guidance. Refer to VulDB #332640 for ongoing updates about this vulnerability.

Workarounds

• Implement input validation at the web application firewall level to block requests containing SQL injection payloads
• Use database account permissions to limit the web application's database access to only necessary operations (principle of least privilege)
• Deploy prepared statements or parameterized queries if modifying the source code is feasible
• Isolate the vulnerable application on a separate network segment with strict access controls

# Example WAF rule configuration (ModSecurity)
# Block SQL injection attempts to the vulnerable endpoint
SecRule REQUEST_URI "@contains /settings/controller.php" \
    "id:1001,phase:2,deny,status:403,\
    chain"
SecRule ARGS "@detectSQLi" \
    "msg:'SQL Injection attempt blocked on controller.php'"