Skip to main content
CVE Vulnerability Database

CVE-2025-2067: Life Insurance Management System SQLi Flaw

CVE-2025-2067 is a critical SQL injection vulnerability in Projectworlds Life Insurance Management System 1.0 affecting the search.php file. This post covers technical details, affected versions, security impact, and mitigation.

Published:

CVE-2025-2067 Overview

A SQL injection vulnerability has been identified in Projectworlds Life Insurance Management System version 1.0. This issue affects the processing of the /search.php file, where improper handling of the key parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information.

Critical Impact

Remote attackers can manipulate the key parameter in /search.php to execute arbitrary SQL commands, potentially compromising the confidentiality, integrity, and availability of the application's database containing sensitive insurance and customer data.

Affected Products

  • Projectworlds Life Insurance Management System 1.0

Discovery Timeline

  • March 7, 2025 - CVE-2025-2067 published to NVD
  • May 14, 2025 - Last updated in NVD database

Technical Details for CVE-2025-2067

Vulnerability Analysis

This SQL injection vulnerability exists in the /search.php file of the Life Insurance Management System. When user-supplied input is passed through the key parameter, the application fails to properly sanitize or parameterize the input before incorporating it into SQL queries. This allows attackers to craft malicious input that modifies the intended SQL query structure, enabling them to extract, modify, or delete data from the underlying database.

The vulnerability is particularly concerning for a life insurance management system, as such applications typically store highly sensitive personal and financial information including policyholder details, beneficiary information, policy terms, and payment records.

Root Cause

The root cause of this vulnerability is improper input validation and the absence of parameterized queries or prepared statements in the search functionality. The key parameter value is directly concatenated into SQL queries without proper sanitization, allowing special SQL characters and commands to be interpreted as part of the query logic rather than as literal data.

Attack Vector

The attack can be initiated remotely over the network. An attacker does not require any authentication or user interaction to exploit this vulnerability. By sending specially crafted HTTP requests to the /search.php endpoint with malicious SQL code in the key parameter, an attacker can manipulate database queries to:

  • Extract sensitive data from the database (data exfiltration)
  • Bypass authentication mechanisms
  • Modify or delete database records
  • Potentially gain further access to the underlying server depending on database configuration

The exploit has been publicly disclosed and may be actively used by threat actors. Technical details are available in the GitHub CVE Issue Discussion.

Detection Methods for CVE-2025-2067

Indicators of Compromise

  • Unusual or malformed requests to /search.php containing SQL keywords such as UNION, SELECT, DROP, INSERT, UPDATE, or DELETE
  • HTTP requests with the key parameter containing special characters like single quotes ('), double dashes (--), semicolons (;), or comment sequences (/**/)
  • Database error messages appearing in application responses or logs
  • Unexplained database queries or access patterns in database audit logs

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the key parameter
  • Implement application-level logging to capture all requests to /search.php for forensic analysis
  • Monitor database query logs for anomalous or unauthorized queries originating from the application
  • Use intrusion detection systems (IDS) with SQL injection signature detection capabilities

Monitoring Recommendations

  • Enable verbose logging on the web server and database server to capture detailed request information
  • Set up alerts for repeated failed SQL queries or database errors that may indicate exploitation attempts
  • Monitor for data exfiltration indicators such as large response sizes from search endpoints
  • Implement anomaly detection for unusual traffic patterns to /search.php

How to Mitigate CVE-2025-2067

Immediate Actions Required

  • Restrict access to /search.php through network-level controls or authentication requirements until a patch is applied
  • Implement input validation to reject requests containing SQL injection patterns
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules
  • Review database access logs for signs of prior exploitation
  • Consider taking the application offline if it processes sensitive data and no mitigations are available

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using Projectworlds Life Insurance Management System 1.0 should contact the vendor for remediation guidance or implement the workarounds described below. Additional technical details can be found in the VulDB entry #298823.

Workarounds

  • Implement parameterized queries or prepared statements in the /search.php file to prevent SQL injection
  • Apply strict input validation and sanitization on the key parameter, rejecting any input containing SQL metacharacters
  • Use a Web Application Firewall to filter malicious requests before they reach the application
  • Limit database user privileges for the application to the minimum necessary (principle of least privilege)
  • Consider implementing allowlist-based input validation that only permits expected character patterns
bash
# Example: Restrict access to search.php using Apache .htaccess
<Files "search.php">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    # Allow only from trusted internal network
</Files>

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.