CVE-2025-13233: Janobe Inventory Management SQLI Vulnerability

CVE-2025-13233 Overview

A SQL Injection vulnerability has been identified in itsourcecode Inventory Management System 1.0. The vulnerability exists in the /index.php?q=single-item endpoint where the ID parameter is not properly sanitized before being used in database queries. This allows remote attackers to manipulate SQL queries and potentially access, modify, or delete sensitive data within the underlying database. The exploit has been publicly disclosed and may be actively used.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to extract sensitive inventory data, modify database records, or potentially gain unauthorized access to the backend database system without authentication.

Affected Products

• Janobe Inventory Management System 1.0
• itsourcecode Inventory Management System 1.0

Discovery Timeline

• 2025-11-16 - CVE-2025-13233 published to NVD
• 2025-11-18 - Last updated in NVD database

Technical Details for CVE-2025-13233

Vulnerability Analysis

This vulnerability is a classic SQL Injection flaw (CWE-89) that allows attackers to manipulate database queries through unsanitized user input. The vulnerable endpoint /index.php?q=single-item accepts an ID parameter that is directly incorporated into SQL queries without proper validation or parameterization. This allows attackers to inject malicious SQL statements that can be executed by the database server.

The vulnerability is exploitable remotely over the network without requiring authentication or user interaction. An attacker can craft malicious requests containing SQL payloads in the ID parameter to extract data from the database, bypass authentication mechanisms, modify or delete records, or potentially execute administrative operations on the database server.

Root Cause

The root cause of this vulnerability is improper input validation and the failure to use parameterized queries or prepared statements when handling user-supplied input. The ID parameter from the URL is directly concatenated into SQL query strings, allowing injection attacks. This falls under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Attack Vector

The attack vector is network-based and requires no authentication or user interaction. An attacker can send specially crafted HTTP requests to the /index.php?q=single-item endpoint with a malicious ID parameter containing SQL injection payloads. Common attack techniques include UNION-based injection to extract data from other tables, boolean-based blind injection to enumerate database contents, and time-based blind injection when direct output is not available.

The vulnerability allows an attacker to manipulate the SQL query by injecting malicious SQL syntax through the ID parameter. For example, instead of providing a valid numeric ID, an attacker could supply a value containing SQL operators and statements that alter the intended query logic, potentially exposing all records in the database or executing arbitrary SQL commands.

Detection Methods for CVE-2025-13233

Indicators of Compromise

• Unusual database query patterns in application logs, especially queries with unexpected SQL syntax
• Web server access logs showing requests to /index.php?q=single-item with suspicious ID parameter values containing SQL keywords (UNION, SELECT, OR, AND, etc.)
• Database errors or exceptions logged by the application indicating malformed SQL queries
• Unexpected data exfiltration or modifications in the inventory database

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests
• Monitor application logs for SQL syntax errors and unusual query execution times
• Deploy database activity monitoring to detect anomalous query patterns or unauthorized data access
• Use intrusion detection systems with SQL injection signature detection capabilities

Monitoring Recommendations

• Enable detailed logging on the web server for all requests to the affected endpoint
• Configure database audit logging to track all queries executed against the inventory database
• Set up alerts for failed database queries or authentication attempts
• Monitor for large data transfers from the database server that could indicate data exfiltration

How to Mitigate CVE-2025-13233

Immediate Actions Required

• Restrict access to the Inventory Management System to trusted networks or IP addresses until a patch is available
• Implement input validation to reject non-numeric values for the ID parameter
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules
• Review database user permissions and apply principle of least privilege

Patch Information

No official patch has been released by the vendor at this time. Organizations using itsourcecode Inventory Management System 1.0 should contact the vendor for remediation guidance or consider implementing the workarounds listed below. Additional technical details can be found in the VulDB entry and the GitHub CVE Issue Tracker.

Workarounds

• Use prepared statements or parameterized queries to handle the ID parameter in the affected code
• Implement server-side input validation to ensure the ID parameter contains only numeric values
• Deploy a reverse proxy or WAF to filter malicious requests before they reach the application
• Consider temporarily disabling the vulnerable single-item functionality if not business-critical

# Example: Block suspicious requests with ModSecurity WAF rule
SecRule ARGS:ID "@rx [\'\;\-\-]|union|select|insert|update|delete|drop" \
    "id:1001,phase:2,deny,status:403,log,msg:'SQL Injection attempt blocked on ID parameter'"