CVE-2025-13237 Overview
A SQL injection vulnerability has been discovered in itsourcecode Inventory Management System 1.0. The vulnerability affects an unknown function within the file /LogSignModal.PHP. Attackers can exploit this flaw by manipulating the U_USERNAME argument, allowing for SQL injection attacks. The vulnerability is remotely exploitable, and proof-of-concept information has been publicly released.
Critical Impact
Unauthenticated attackers can remotely exploit this SQL injection vulnerability to potentially access, modify, or delete database contents, bypass authentication mechanisms, and compromise sensitive inventory management data.
Affected Products
- Janobe Inventory Management System 1.0
- itsourcecode Inventory Management System 1.0
Discovery Timeline
- 2025-11-16 - CVE CVE-2025-13237 published to NVD
- 2025-11-18 - Last updated in NVD database
Technical Details for CVE-2025-13237
Vulnerability Analysis
This vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The flaw exists in the login/sign-up modal functionality of the Inventory Management System, specifically within the /LogSignModal.PHP file.
The application fails to properly sanitize or parameterize user-supplied input in the U_USERNAME parameter before incorporating it into SQL queries. This allows an attacker to inject malicious SQL code that will be executed by the database server. Since the vulnerability is network-accessible and requires no authentication or user interaction, it presents a significant risk to organizations running this software.
Root Cause
The root cause of this vulnerability is improper input validation and lack of parameterized queries in the /LogSignModal.PHP file. The U_USERNAME parameter is directly concatenated into SQL statements without proper sanitization or the use of prepared statements. This classic SQL injection pattern allows attackers to manipulate database queries by injecting specially crafted input.
Attack Vector
The attack can be launched remotely over the network without requiring any authentication or user interaction. An attacker sends a crafted HTTP request to the /LogSignModal.PHP endpoint with a malicious payload in the U_USERNAME parameter. The injected SQL code is then executed against the backend database, potentially allowing the attacker to:
- Bypass authentication and gain unauthorized access
- Extract sensitive data from the database
- Modify or delete existing records
- Potentially escalate to command execution depending on database configuration
The vulnerability has been publicly disclosed with exploit information available, increasing the likelihood of active exploitation attempts. Technical details can be found in the GitHub Issue Report and the VulDB advisory.
Detection Methods for CVE-2025-13237
Indicators of Compromise
- Unusual or malformed HTTP requests to /LogSignModal.PHP containing SQL syntax such as single quotes, UNION SELECT, OR 1=1, or comment characters (--, #)
- Database error messages in application logs indicating syntax errors from malformed queries
- Unexpected database query patterns in database logs, particularly targeting the user authentication table
- Evidence of data exfiltration or unauthorized access to inventory management records
Detection Strategies
- Implement web application firewall (WAF) rules to detect SQL injection patterns in the U_USERNAME parameter
- Monitor HTTP access logs for requests to /LogSignModal.PHP with suspicious query strings or POST data
- Enable database query logging and alert on queries containing typical SQL injection syntax
- Deploy intrusion detection system (IDS) signatures for known SQL injection attack patterns
Monitoring Recommendations
- Configure real-time alerting for any SQL syntax errors originating from the /LogSignModal.PHP endpoint
- Monitor database connection attempts and query volume for anomalies indicating automated exploitation
- Review authentication logs for unusual patterns such as successful logins without corresponding valid credentials
- Implement application-level logging to capture all input to the U_USERNAME field for forensic analysis
How to Mitigate CVE-2025-13237
Immediate Actions Required
- Restrict network access to the Inventory Management System to trusted IP addresses only
- Place the application behind a web application firewall (WAF) configured to block SQL injection attacks
- Disable or remove the affected /LogSignModal.PHP file if not critical to operations until a patch is available
- Audit database access logs for any signs of previous exploitation attempts
Patch Information
No official vendor patch has been identified at this time. The vulnerability was reported via VulDB Submission #686734. Organizations using this software should contact the vendor at IT Source Code for remediation guidance or consider implementing the workarounds below.
Workarounds
- Implement server-side input validation to reject any input containing SQL metacharacters in the U_USERNAME field
- Modify the application code to use parameterized queries or prepared statements for all database interactions
- Deploy a WAF rule to sanitize or block requests containing SQL injection payloads to /LogSignModal.PHP
- Consider migrating to an alternative inventory management solution with a stronger security posture if the vendor does not provide timely remediation
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
