CVE-2025-3187: E-diary Management System SQLi Vulnerability

CVE-2025-3187 Overview

A SQL Injection vulnerability has been identified in PHPGurukul e-Diary Management System version 1.0. This vulnerability affects the login.php file, where improper handling of the logindetail parameter allows attackers to inject malicious SQL commands. The flaw enables remote attackers to manipulate database queries, potentially leading to unauthorized data access, data manipulation, or full database compromise.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, or modify database contents without requiring any prior access or user interaction.

Affected Products

• PHPGurukul e-Diary Management System 1.0
• Applications using vulnerable login.php authentication module
• Systems deployed with default PHPGurukul e-Diary configurations

Discovery Timeline

• April 4, 2025 - CVE-2025-3187 published to NVD
• April 8, 2025 - Last updated in NVD database

Technical Details for CVE-2025-3187

Vulnerability Analysis

This SQL Injection vulnerability exists in the authentication mechanism of the e-Diary Management System. The login.php file fails to properly sanitize user-supplied input in the logindetail parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to alter the intended SQL query logic, enabling authentication bypass and direct database manipulation.

The vulnerability is exploitable remotely without authentication, as it targets the login functionality itself. An attacker can craft malicious input containing SQL syntax that, when processed by the application, executes unintended database commands. The public disclosure of exploit details increases the risk of active exploitation in the wild.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and parameterized queries in the authentication module. The application directly concatenates user-supplied input from the logindetail parameter into SQL queries without sanitization, escaping, or the use of prepared statements. This violates secure coding practices outlined in CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Attack Vector

The attack is network-based and requires no authentication or user interaction. An attacker can target the login.php endpoint by submitting crafted payloads through the logindetail parameter. The vulnerability allows various SQL injection techniques including:

• Authentication bypass using boolean-based injection
• Data exfiltration through UNION-based injection
• Blind SQL injection for environments with limited error output
• Potential command execution depending on database configuration

For technical details on the exploitation methodology, see the GitHub Issue Discussion and VulDB entry #303146.

Detection Methods for CVE-2025-3187

Indicators of Compromise

• Unusual SQL syntax appearing in web server access logs for /login.php
• Database query logs showing unexpected UNION SELECT, OR 1=1, or comment sequences
• Failed authentication attempts with suspicious characters in the username field
• Anomalous database queries originating from the web application user account

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in POST parameters
• Enable database query logging and alert on queries containing injection signatures
• Monitor authentication logs for patterns indicative of automated exploitation attempts
• Implement intrusion detection signatures for common SQL injection payloads targeting PHP applications

Monitoring Recommendations

• Review Apache/Nginx access logs for requests to /login.php with encoded special characters
• Set up real-time alerting for database errors related to syntax or permission violations
• Monitor for unusual data access patterns or bulk data retrieval from authenticated sessions
• Conduct periodic log analysis looking for SQL injection fingerprints

How to Mitigate CVE-2025-3187

Immediate Actions Required

• Remove or restrict access to the vulnerable e-Diary Management System until patched
• Implement WAF rules to block SQL injection attempts targeting the login functionality
• Review database logs for evidence of prior exploitation
• Consider taking the application offline if sensitive data is at risk

Patch Information

No official vendor patch has been released at the time of publication. Organizations should monitor the PHP Gurukul website for security updates. As an interim measure, administrators should implement code-level fixes using prepared statements and parameterized queries for all database interactions in login.php.

Workarounds

• Implement input validation to whitelist acceptable characters in the logindetail parameter
• Modify the authentication code to use PDO prepared statements or mysqli parameterized queries
• Deploy a reverse proxy or WAF with SQL injection blocking rules in front of the application
• Restrict network access to the application to trusted IP ranges only

# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:logindetail "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection Attempt Blocked on logindetail parameter',\
    severity:CRITICAL"