CVE-2025-13299: Itsourcecode Lab Management SQL Injection

CVE-2025-13299 Overview

A SQL injection vulnerability has been identified in itsourcecode Web-Based Internet Laboratory Management System version 1.0. The flaw exists in the /user/controller.php file, where insufficient input validation allows attackers to manipulate SQL queries. This vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information, data modification, or system compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain further access to the underlying system through database-level attacks.

Affected Products

• itsourcecode Web-Based Internet Laboratory Management System version 1.0

Discovery Timeline

• 2025-11-17 - CVE-2025-13299 published to NVD
• 2026-02-24 - Last updated in NVD database

Technical Details for CVE-2025-13299

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) in the Web-Based Internet Laboratory Management System arises from improper neutralization of special elements used in SQL commands. The vulnerable component is the /user/controller.php file, which fails to properly sanitize user-supplied input before incorporating it into SQL queries. Attackers can craft malicious input containing SQL syntax that, when processed by the application, executes unintended database commands.

The vulnerability is classified under both CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (SQL Injection), indicating a fundamental failure in input validation and output encoding practices. An exploit has been published and is publicly available, increasing the risk of exploitation in the wild.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and parameterized queries in the /user/controller.php file. User-controlled data is directly concatenated or interpolated into SQL query strings without sanitization, allowing attackers to inject malicious SQL statements. This represents a classic SQL injection vulnerability pattern where the application trusts user input without verification.

Attack Vector

The attack vector is network-based, allowing remote exploitation without requiring authentication or user interaction. An attacker can send specially crafted HTTP requests to the /user/controller.php endpoint containing malicious SQL payloads. These payloads are processed by the application and executed against the backend database. The exploit has been publicly disclosed, making it accessible to potential attackers. For technical details regarding exploitation methods, refer to the GitHub CVE Issue Discussion and VulDB entry #332639.

Detection Methods for CVE-2025-13299

Indicators of Compromise

• Unusual SQL error messages in application logs or HTTP responses indicating query manipulation attempts
• Web server access logs showing requests to /user/controller.php with suspicious characters such as single quotes, SQL keywords (UNION, SELECT, OR, AND), or encoded SQL syntax
• Database audit logs revealing unexpected queries, data extraction attempts, or unauthorized data modifications
• Unexpected database performance degradation potentially caused by time-based blind SQL injection attacks

Detection Strategies

• Deploy Web Application Firewall (WAF) rules specifically targeting SQL injection patterns in requests to /user/controller.php
• Implement application-level logging to capture and analyze all input parameters sent to the vulnerable endpoint
• Configure intrusion detection systems (IDS) to alert on common SQL injection payloads and encoded bypass techniques
• Monitor database query logs for anomalous query patterns, particularly those involving UNION-based or boolean-based injection techniques

Monitoring Recommendations

• Enable detailed access logging on web servers and review requests targeting /user/controller.php for injection indicators
• Implement real-time alerting for database errors that may indicate exploitation attempts
• Deploy database activity monitoring to detect unauthorized data access or exfiltration
• Regularly review authentication and access logs for signs of credential theft or privilege escalation following potential database compromise

How to Mitigate CVE-2025-13299

Immediate Actions Required

• Restrict network access to the Web-Based Internet Laboratory Management System to trusted IP addresses only
• Implement WAF rules to block common SQL injection patterns targeting the vulnerable endpoint
• If possible, disable or remove access to /user/controller.php until a patch is available
• Review database permissions and ensure the application database user has minimal required privileges

Patch Information

No official vendor patch has been identified for this vulnerability at the time of analysis. Organizations using itsourcecode Web-Based Internet Laboratory Management System 1.0 should monitor the IT Source Code Homepage for security updates. In the absence of an official patch, implementing the recommended workarounds and compensating controls is strongly advised.

Workarounds

• Implement input validation and parameterized queries if source code modifications are possible
• Deploy a reverse proxy or WAF with SQL injection filtering capabilities in front of the application
• Restrict database user permissions to read-only access where write operations are not required
• Isolate the application in a network segment with strict ingress and egress filtering
• Consider replacing the vulnerable software with a maintained alternative if no patch becomes available

# Example WAF rule for ModSecurity to block SQL injection attempts
# Add to ModSecurity configuration
SecRule REQUEST_URI "@contains /user/controller.php" \
    "id:100001,phase:2,deny,status:403,log,\
    chain"
SecRule ARGS "@detectSQLi" \
    "t:none,t:urlDecodeUni,t:htmlEntityDecode"