CVE-2017-17619 in Laundry Booking Script
Summary
by MITRE
Laundry Booking Script 1.0 has SQL Injection via the /list city parameter.
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Analysis
by VulDB Data Team • 09/07/2025
The vulnerability identified as CVE-2017-17619 affects the Laundry Booking Script version 1.0, which is a web-based application designed for managing laundry booking services. This particular flaw resides in the application's handling of user input through the /list city parameter, which serves as an endpoint for retrieving laundry service locations. The vulnerability represents a critical security weakness that allows malicious actors to manipulate the application's database queries through crafted input, potentially leading to unauthorized access to sensitive information and system compromise.
The technical implementation of this SQL injection vulnerability occurs when the application fails to properly sanitize or validate the city parameter passed to the /list endpoint. When user input is directly incorporated into SQL queries without adequate filtering or parameterization, attackers can inject malicious SQL code that alters the intended query execution. This flaw falls under the CWE-89 category of SQL Injection, which is classified as a high-risk vulnerability in the Common Weakness Enumeration framework. The vulnerability specifically demonstrates improper input validation and inadequate query parameterization, allowing attackers to manipulate database operations through carefully crafted payloads that can extract, modify, or delete data from the underlying database.
The operational impact of this vulnerability extends beyond simple data exposure, as it provides attackers with significant control over the application's backend database. Successful exploitation could enable unauthorized users to access customer information, booking records, and potentially administrative credentials stored within the database. The vulnerability affects the confidentiality, integrity, and availability of the laundry booking system, as attackers could not only read sensitive data but also modify or delete records, disrupting service operations. From an attacker's perspective, this vulnerability aligns with ATT&CK technique T1071.005 for application layer protocol manipulation, where adversaries exploit weaknesses in web application input handling to gain unauthorized access to backend systems.
Mitigation strategies for this vulnerability require immediate implementation of proper input validation and parameterized query construction throughout the application codebase. The recommended approach involves implementing strict input sanitization for all user-supplied parameters, including the city parameter in this case, and utilizing prepared statements or parameterized queries to prevent SQL injection attacks. Additionally, implementing proper access controls and input length restrictions can further reduce the attack surface. Organizations should also conduct comprehensive code reviews to identify similar vulnerabilities in other endpoints and ensure that all database interactions follow secure coding practices. The remediation process should include updating the Laundry Booking Script to a patched version and implementing web application firewalls to detect and block malicious SQL injection attempts. Regular security testing including automated vulnerability scanning and manual penetration testing should be conducted to ensure ongoing protection against similar threats.