CVE-2025-1859: Phpgurukul News Portal SQLi Vulnerability

CVE-2025-1859 Overview

A critical SQL injection vulnerability has been discovered in PHPGurukul News Portal version 4.1. This security flaw affects the /login.php file where improper handling of the id parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially leading to unauthorized database access, data theft, and compromise of the entire web application.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially achieve full system compromise through database-level exploits.

Affected Products

• PHPGurukul News Portal 4.1
• phpgurukul news_portal (cpe:2.3:a:phpgurukul:news_portal:4.1:::::::*)

Discovery Timeline

• 2025-03-03 - CVE-2025-1859 published to NVD
• 2025-03-07 - Last updated in NVD database

Technical Details for CVE-2025-1859

Vulnerability Analysis

This SQL injection vulnerability exists in the login functionality of PHPGurukul News Portal 4.1. The application fails to properly sanitize user-supplied input in the id parameter within the /login.php file before incorporating it into SQL queries. This allows an attacker to manipulate database queries by injecting specially crafted SQL statements.

The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The attack can be initiated remotely over the network without requiring any authentication or user interaction, making it particularly dangerous for internet-facing deployments.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and parameterized queries in the /login.php file. The application directly concatenates user-supplied data from the id parameter into SQL queries without sanitization, escaping, or the use of prepared statements. This classic web application security flaw allows attackers to break out of the intended query structure and execute arbitrary SQL commands.

Attack Vector

The attack vector is network-based, requiring no authentication or privileges. An attacker can craft malicious HTTP requests to the /login.php endpoint with SQL injection payloads in the id parameter. The vulnerability has been publicly disclosed, and exploitation details are available through external references. Successful exploitation could allow an attacker to:

• Bypass authentication mechanisms
• Extract sensitive information from the database including user credentials
• Modify or delete database records
• Potentially execute operating system commands if database permissions allow

The vulnerability exploits the lack of input sanitization in the login functionality. When a user submits data through the id parameter, the application constructs an SQL query by directly embedding the unsanitized input. An attacker can terminate the intended query and append malicious SQL statements to extract data, modify records, or perform other unauthorized database operations. For detailed technical analysis and proof-of-concept information, refer to the GitHub Issue Discussion.

Detection Methods for CVE-2025-1859

Indicators of Compromise

• Unusual SQL error messages in web server logs originating from /login.php
• HTTP requests containing SQL injection patterns such as single quotes, UNION SELECT statements, or comment characters targeting the id parameter
• Unexpected database queries or data extraction attempts in database logs
• Authentication bypass events or unauthorized administrative access

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to /login.php
• Implement intrusion detection signatures for common SQL injection payloads targeting the id parameter
• Enable detailed logging on the web server and database to capture suspicious query patterns
• Monitor for anomalous database activity including bulk data extraction or schema enumeration

Monitoring Recommendations

• Configure real-time alerting for SQL syntax errors and database exceptions from the News Portal application
• Establish baseline metrics for normal database query patterns and alert on deviations
• Monitor authentication logs for unusual login patterns or failed authentication attempts
• Implement network traffic analysis to detect potential data exfiltration following successful exploitation

How to Mitigate CVE-2025-1859

Immediate Actions Required

• Restrict access to /login.php to trusted IP addresses if possible until a patch is available
• Deploy WAF rules to block SQL injection attempts targeting the vulnerable parameter
• Review database user permissions and apply the principle of least privilege
• Consider taking the affected News Portal offline if it processes sensitive data and no mitigation is feasible

Patch Information

No official vendor patch has been released at the time of this advisory. Users should monitor the PHP Gurukul Homepage for security updates. Additional vulnerability details are available through VulDB #298127.

Workarounds

• Implement input validation by modifying the source code to use parameterized queries or prepared statements for all database interactions
• Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
• Restrict database user permissions to read-only access where write operations are not required
• Consider migrating to an alternative news portal solution with better security practices

# Example WAF rule for ModSecurity to block SQL injection on login.php
SecRule REQUEST_URI "@contains /login.php" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    chain,\
    msg:'SQL Injection attempt on News Portal login'"
    SecRule ARGS:id "@detectSQLi" "t:none,t:urlDecodeUni"