CVE-2025-6135 in Life Insurance Management System
Summary
by MITRE • 06/16/2025
A vulnerability was found in Projectworlds Life Insurance Management System 1.0. It has been declared as critical. This vulnerability affects unknown code of the file /insertNominee.php. The manipulation of the argument client_id/nominee_id leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 06/26/2025
The vulnerability identified as CVE-2025-6135 represents a critical sql injection flaw within the Projectworlds Life Insurance Management System version 1.0. This vulnerability specifically targets the /insertNominee.php file, which serves as a critical component for managing nominee information within the insurance management framework. The flaw arises from insufficient input validation and sanitization of user-supplied parameters, particularly the client_id and nominee_id arguments that are processed through this endpoint. The vulnerability classification as critical indicates the potential for severe impact including unauthorized data access, data manipulation, and possible system compromise. The attack vector is remotely exploitable, meaning that malicious actors can leverage this vulnerability without requiring physical access to the system infrastructure.
The technical exploitation of this sql injection vulnerability occurs when an attacker submits maliciously crafted input through the client_id or nominee_id parameters in the /insertNominee.php file. This allows the attacker to inject arbitrary sql commands that execute within the database context of the application. The vulnerability directly maps to CWE-89 which defines sql injection as the insertion of malicious sql fragments into application input fields. When properly exploited, this vulnerability can enable attackers to extract sensitive insurance policy data, modify nominee records, or potentially escalate privileges within the database system. The fact that the exploit has been publicly disclosed significantly increases the risk profile as automated attack tools may readily target this vulnerability.
The operational impact of CVE-2025-6135 extends beyond simple data theft, as it can compromise the integrity and confidentiality of the entire life insurance management system. Insurance companies rely on accurate nominee information for claim processing and policy administration, making this vulnerability particularly dangerous. Successful exploitation could result in unauthorized access to sensitive personal and financial data of policyholders, potentially leading to identity theft, fraud, and regulatory compliance violations. The remote exploit capability means that attackers can target the system from anywhere on the internet, making traditional network perimeter defenses insufficient for protection. Organizations using this system face potential legal liability, reputational damage, and significant financial losses due to data breaches.
Mitigation strategies for CVE-2025-6135 must include immediate implementation of input validation and parameterized queries to prevent sql injection attacks. The system administrators should apply the vendor-provided security patches as soon as they become available, as the vulnerability has been publicly disclosed and is likely being actively exploited. Network segmentation and intrusion detection systems should be deployed to monitor for exploitation attempts, while web application firewalls can help filter malicious sql injection payloads. Regular security audits and penetration testing should be conducted to identify similar vulnerabilities in other components of the insurance management system. Additionally, implementing proper access controls and database privilege management can limit the potential damage from successful exploitation. The vulnerability demonstrates the importance of following secure coding practices and adhering to the principle of least privilege in database access, aligning with ATT&CK framework techniques related to credential access and data extraction. Organizations should also consider implementing database activity monitoring to detect unusual sql query patterns that may indicate exploitation attempts.