CVE-2025-13578 Overview
A SQL injection vulnerability has been discovered in code-projects Library System version 1.0. This vulnerability affects the /index.php file within the Login component, where improper handling of the Username argument allows attackers to inject malicious SQL queries. The attack can be initiated remotely without authentication, potentially enabling unauthorized access to the underlying database.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, modify database contents, or potentially gain further access to the underlying system.
Affected Products
- code-projects Library System 1.0
Discovery Timeline
- 2025-11-24 - CVE-2025-13578 published to NVD
- 2025-11-26 - Last updated in NVD database
Technical Details for CVE-2025-13578
Vulnerability Analysis
This vulnerability stems from insufficient input validation in the Login component of code-projects Library System. The application fails to properly sanitize user-supplied input in the Username parameter before incorporating it into SQL queries. This classic SQL injection flaw (CWE-89) represents a broader injection vulnerability pattern (CWE-74).
The vulnerability can be exploited remotely over the network without requiring authentication or user interaction. An attacker can manipulate the Username field to inject arbitrary SQL commands, potentially compromising the confidentiality, integrity, and availability of the database.
Root Cause
The root cause of this vulnerability is improper input validation and the likely use of dynamic SQL query construction without parameterized queries or prepared statements. When user input from the Username field is directly concatenated into SQL statements, it allows attackers to escape the intended query context and execute arbitrary SQL commands.
Attack Vector
The attack is network-accessible and targets the /index.php endpoint in the Login component. An attacker can craft malicious input in the Username field that alters the SQL query logic. Common exploitation techniques include:
- Authentication bypass using payloads like ' OR '1'='1 or similar tautologies
- Union-based injection to extract data from other database tables
- Error-based injection to enumerate database structure
- Time-based blind injection when direct output is not visible
The vulnerability has been publicly disclosed, increasing the likelihood of exploitation attempts. Technical details are available in the GitHub Issue Discussion and VulDB entry.
Detection Methods for CVE-2025-13578
Indicators of Compromise
- Unusual login attempts with SQL syntax characters in the Username field (single quotes, double dashes, semicolons)
- Database error messages appearing in application logs or responses
- Unexpected database queries or data exfiltration patterns in database logs
- Authentication successes from previously unknown or unauthorized accounts
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in login requests
- Monitor application logs for failed login attempts containing special characters or SQL keywords
- Implement database activity monitoring to detect anomalous query patterns or unauthorized data access
- Configure IDS/IPS signatures to alert on SQL injection attack patterns targeting the /index.php endpoint
Monitoring Recommendations
- Enable verbose logging on the web server and database to capture all queries executed against the Login endpoint
- Set up alerts for multiple failed authentication attempts from the same IP address with varying payloads
- Monitor for unusual database read patterns that may indicate data exfiltration following successful injection
How to Mitigate CVE-2025-13578
Immediate Actions Required
- Restrict access to the affected Library System application until a patch is available or mitigations are in place
- Implement a Web Application Firewall (WAF) with SQL injection detection rules
- Review database user permissions to limit the impact of potential SQL injection attacks
- Enable input validation at the application layer to reject malicious characters in the Username field
Patch Information
No official vendor patch has been identified in the available CVE data. Organizations should monitor the code-projects website for security updates. In the absence of an official patch, implementing the workarounds below is critical.
Workarounds
- Deploy a WAF or reverse proxy to filter SQL injection patterns before they reach the application
- If source code access is available, implement parameterized queries or prepared statements for all database interactions
- Apply input validation to sanitize the Username field, rejecting or escaping special characters
- Consider taking the application offline or restricting network access until proper remediation is available
# Example WAF rule to block common SQL injection patterns (ModSecurity)
SecRule ARGS:Username "@rx (?i)(union.*select|select.*from|insert.*into|delete.*from|drop.*table|'.*or.*'|--)" \
"id:100001,phase:2,deny,status:403,msg:'SQL Injection Attempt Blocked'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
