CVE-2025-10426 in Online Laundry Management System
Summary
by MITRE • 09/15/2025
A security flaw has been discovered in itsourcecode Online Laundry Management System 1.0. This affects an unknown function of the file /login.php. Performing manipulation of the argument Username results in sql injection. It is possible to initiate the attack remotely. The exploit has been released to the public and may be exploited.
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Analysis
by VulDB Data Team • 09/15/2025
This vulnerability resides within the itsourcecode Online Laundry Management System version 1.0 where a critical sql injection flaw has been identified in the login.php file. The vulnerability specifically affects the username parameter handling within the authentication function, creating a pathway for malicious actors to manipulate database queries through crafted input. The flaw represents a classic sql injection vulnerability that allows attackers to execute arbitrary sql commands against the underlying database system. This issue is particularly concerning as it affects the core authentication mechanism of the application, potentially enabling unauthorized access to user accounts and sensitive system data.
The technical exploitation of this vulnerability follows standard sql injection attack patterns where an attacker can manipulate the username parameter to inject malicious sql code. When the application processes the username input without proper sanitization or parameterization, it directly incorporates user-supplied data into sql queries. This creates opportunities for attackers to extract database contents, modify user credentials, or even escalate privileges within the system. The vulnerability's remote exploitability means that attackers can leverage this flaw from external networks without requiring physical access to the system infrastructure. The public release of exploit code significantly increases the risk as it provides readily available tools for malicious actors to target vulnerable installations.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete system compromise potential. Successful exploitation could allow attackers to access all user accounts, view confidential laundry management data including customer information and transaction records, and potentially modify system configurations. The vulnerability affects the fundamental security posture of the laundry management system, undermining the integrity and confidentiality of all data stored within the database. Organizations running this software face significant risk of data breaches, regulatory violations, and potential financial losses due to compromised customer information. The vulnerability also poses risks to system availability as attackers could potentially execute destructive sql commands that corrupt database structures.
Mitigation strategies should prioritize immediate patching of the vulnerable application version to address the sql injection flaw in the login.php file. Organizations must implement proper input validation and parameterized queries to prevent sql injection attacks from succeeding. The implementation of web application firewalls and intrusion detection systems can provide additional layers of protection against exploitation attempts. Security teams should conduct comprehensive vulnerability assessments of all web applications to identify similar sql injection vulnerabilities in other components. Access controls and authentication mechanisms should be reviewed and strengthened to limit the impact of potential successful attacks. Regular security testing including automated sql injection scanning and manual penetration testing should be implemented as part of ongoing security maintenance. This vulnerability aligns with CWE-89 which specifically addresses sql injection flaws, and represents a technique commonly categorized under ATT&CK matrix tactic TA0006 (credential access) and technique T1110 (brute force). Organizations should also consider implementing database activity monitoring and audit logging to detect suspicious sql query patterns that may indicate exploitation attempts.