CVE-2025-7184: Library System SQL Injection Vulnerability

CVE-2025-7184 Overview

A SQL injection vulnerability has been identified in code-projects Library System 1.0. This critical flaw exists in the /user/teacher/books.php file, where the Search parameter is susceptible to injection attacks. The vulnerability allows remote attackers to manipulate SQL queries by injecting malicious input through the search functionality, potentially compromising the underlying database and sensitive information stored within the library management system.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database records, or potentially gain unauthorized access to the library system's backend infrastructure.

Affected Products

• code-projects Library System 1.0
• Applications using the vulnerable /user/teacher/books.php endpoint
• Library management systems derived from code-projects Library System

Discovery Timeline

• 2025-07-08 - CVE-2025-7184 published to NVD
• 2025-07-09 - Last updated in NVD database

Technical Details for CVE-2025-7184

Vulnerability Analysis

This SQL injection vulnerability stems from improper handling of user-supplied input in the search functionality of the Library System application. When a user submits a search query through the Search parameter on the /user/teacher/books.php page, the application fails to properly sanitize or parameterize the input before incorporating it into SQL database queries.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection flaws where untrusted data is sent to an interpreter as part of a command or query. In this case, the PHP application directly concatenates user input into SQL statements, allowing attackers to break out of the intended query structure and execute arbitrary SQL commands.

The network-accessible nature of this vulnerability means that any remote attacker with access to the application's web interface can attempt exploitation without requiring prior authentication or special privileges.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and parameterized queries in the /user/teacher/books.php file. The application directly incorporates the Search parameter value into SQL queries without sanitization, escaping, or the use of prepared statements. This coding practice violates secure development principles and creates a direct path for SQL injection attacks.

Attack Vector

The attack is conducted remotely over the network by sending crafted HTTP requests to the vulnerable endpoint. An attacker can manipulate the Search parameter to inject SQL syntax that alters the intended query logic. This could include union-based injection to extract data from other tables, boolean-based blind injection to enumerate database contents, or time-based blind injection to infer information through response delays.

The vulnerability has been publicly disclosed and exploit information is available, increasing the likelihood of exploitation attempts against unpatched systems. Attackers can leverage standard SQL injection techniques and tools to probe and exploit this weakness.

Detection Methods for CVE-2025-7184

Indicators of Compromise

• Unusual or malformed requests to /user/teacher/books.php containing SQL syntax in the Search parameter
• Database error messages appearing in application logs or responses indicating SQL syntax errors
• Abnormal database query patterns including UNION SELECT statements, time-delay functions, or system table queries
• Unexpected data access patterns or bulk data retrieval from the library database

Detection Strategies

• Implement web application firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
• Monitor application logs for requests containing SQL keywords such as UNION, SELECT, DROP, INSERT, or comment sequences in the Search parameter
• Deploy database activity monitoring to identify anomalous query patterns targeting sensitive tables
• Configure intrusion detection systems with signatures for SQL injection attack patterns

Monitoring Recommendations

• Enable detailed logging for all requests to the /user/teacher/books.php endpoint
• Set up alerts for database errors related to malformed SQL queries
• Monitor for unusual data exfiltration patterns from the library database
• Track authentication and access patterns for signs of unauthorized database access

How to Mitigate CVE-2025-7184

Immediate Actions Required

• Restrict access to the /user/teacher/books.php endpoint through network-level controls or authentication requirements
• Implement a web application firewall to filter malicious requests containing SQL injection payloads
• Review and audit all user input handling in the Library System application
• Consider temporarily disabling the search functionality until a proper fix is implemented

Patch Information

No official vendor patch has been released for this vulnerability at the time of publication. Organizations using code-projects Library System 1.0 should monitor the Code Projects Resource Hub for security updates. Additional technical details and discussion can be found in the GitHub CVE Issue Discussion and the VulDB #315123 advisory.

Workarounds

• Implement prepared statements with parameterized queries in the vulnerable PHP file to prevent SQL injection
• Add server-side input validation to sanitize the Search parameter before processing
• Deploy a web application firewall configured to block SQL injection attempts
• Restrict network access to the vulnerable endpoint using firewall rules or access control lists
• Consider implementing an allowlist approach for search input, permitting only alphanumeric characters and specific safe symbols

# Configuration example - Apache mod_security rule to block SQL injection
SecRule ARGS:Search "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt blocked in Search parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}'"