CVE-2025-10439 Overview
CVE-2025-10439 is a SQL Injection vulnerability affecting Yordam Informatics Yordam Library Automation System. This vulnerability stems from improper neutralization of special elements used in SQL commands, allowing attackers to inject malicious SQL queries into the application. The flaw enables unauthenticated remote attackers to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion of sensitive library system information.
Critical Impact
This SQL Injection vulnerability allows unauthenticated attackers to execute arbitrary SQL commands against the database, potentially compromising all stored data, including patron records, credentials, and library management information.
Affected Products
- Yordam Library Automation System version 21.5
- Yordam Library Automation System version 21.6
- All versions prior to 21.7
Discovery Timeline
- 2025-09-17 - CVE-2025-10439 published to NVD
- 2025-09-17 - Last updated in NVD database
Technical Details for CVE-2025-10439
Vulnerability Analysis
This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). The Yordam Library Automation System fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows attackers to inject malicious SQL statements that are then executed by the database server with the same privileges as the application.
The network-accessible nature of this vulnerability means attackers can exploit it remotely without any authentication requirements. Successful exploitation could result in complete compromise of the database, including access to sensitive patron information, library records, and administrative credentials stored within the system.
Root Cause
The root cause of this vulnerability lies in the application's failure to implement proper input validation and parameterized queries. User-controlled input is concatenated directly into SQL query strings without adequate sanitization or the use of prepared statements. This architectural flaw allows specially crafted input containing SQL metacharacters to modify the intended query logic.
Attack Vector
The attack vector for CVE-2025-10439 is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable input fields or parameters within the Yordam Library Automation System. The injected SQL code executes within the context of the database user, potentially allowing attackers to:
- Extract sensitive data from the database using UNION-based or blind SQL injection techniques
- Modify or delete database records
- Bypass authentication mechanisms
- Potentially escalate to operating system command execution depending on database configuration
Due to the absence of verified code examples, organizations should consult the USOM Security Notification for specific technical details regarding exploitation patterns.
Detection Methods for CVE-2025-10439
Indicators of Compromise
- Unusual database query patterns containing SQL keywords like UNION, SELECT, DROP, INSERT, or DELETE in application logs
- HTTP requests with encoded SQL metacharacters (', --, ;, /**/) in URL parameters or form fields
- Database error messages appearing in web application responses indicating query syntax errors
- Unexpected database activity or query execution times from the web application user account
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the Yordam application
- Enable detailed logging on the database server to capture all queries executed by the application
- Implement intrusion detection signatures for SQL injection attack patterns in network traffic
- Monitor for authentication bypass attempts or unauthorized administrative access to the library system
Monitoring Recommendations
- Review web server access logs for requests containing SQL injection signatures targeting Yordam endpoints
- Configure database audit logging to track unusual data access patterns or bulk data extraction
- Set up alerts for failed login attempts followed by successful authentication, which may indicate credential extraction
- Monitor outbound network connections from the database server for potential data exfiltration
How to Mitigate CVE-2025-10439
Immediate Actions Required
- Upgrade Yordam Library Automation System to version 21.7 or later immediately
- Implement network segmentation to restrict access to the library automation system from untrusted networks
- Deploy a Web Application Firewall with SQL injection protection rules in front of the Yordam application
- Review database access logs for any signs of prior exploitation
Patch Information
Yordam Informatics has addressed this vulnerability in version 21.7 of the Yordam Library Automation System. Organizations running versions 21.5 or 21.6 should upgrade to the patched version as soon as possible. For additional information about the security update, refer to the USOM Security Notification.
Workarounds
- Restrict network access to the Yordam Library Automation System to trusted IP ranges only using firewall rules
- Deploy a WAF with strict SQL injection filtering rules to inspect and sanitize all incoming requests
- Disable or limit database user privileges to the minimum required for application functionality
- Implement input validation at the network perimeter to filter requests containing SQL metacharacters
# Example WAF rule configuration for SQL injection protection
# Block common SQL injection patterns in HTTP requests
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"
SecRule REQUEST_COOKIES "@detectSQLi" "id:1002,phase:2,deny,status:403,msg:'SQL Injection in Cookie'"
SecRule REQUEST_URI "@detectSQLi" "id:1003,phase:1,deny,status:403,msg:'SQL Injection in URI'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
