CVE-2017-17630 in Yoga Class Script
Summary
by MITRE
Yoga Class Script 1.0 has SQL Injection via the /list city parameter.
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Analysis
by VulDB Data Team • 11/29/2025
The vulnerability identified as CVE-2017-17630 affects Yoga Class Script version 1.0, a web application designed for managing yoga classes and related scheduling. This particular flaw represents a critical security weakness that could allow unauthorized users to manipulate the application's database through malicious input. The vulnerability specifically manifests in the /list endpoint where the city parameter is processed without adequate input validation or sanitization measures. This creates an exploitable condition where attackers can inject malicious SQL commands that bypass normal authentication and authorization mechanisms.
The technical implementation of this SQL injection vulnerability stems from improper handling of user-supplied input within the application's backend processing logic. When the city parameter is submitted through the /list endpoint, the application fails to properly escape or parameterize the input before incorporating it into SQL queries. This allows malicious actors to craft input strings that contain SQL syntax which gets executed by the database engine. The vulnerability falls under the Common Weakness Enumeration category CWE-89, which specifically addresses SQL injection flaws where untrusted data is incorporated into SQL commands without proper validation or escaping. Attackers can exploit this weakness to extract sensitive data, modify database records, or potentially gain elevated privileges within the system.
The operational impact of this vulnerability extends beyond simple data exposure, as it provides attackers with potential access to the entire database backend that powers the yoga class management system. An attacker could leverage this vulnerability to retrieve confidential information such as user credentials, personal details of class participants, scheduling information, and potentially financial data if the application handles payments. The attack vector is particularly concerning because it requires minimal technical expertise to exploit, making it attractive to both automated scanning tools and less sophisticated attackers. The vulnerability could enable complete database compromise, allowing for data exfiltration, data manipulation, or even system takeover depending on the database permissions and the application's overall architecture.
Mitigation strategies for CVE-2017-17630 must address both immediate remediation and long-term architectural improvements. The primary fix involves implementing proper input validation and parameterized queries throughout the application's codebase, particularly in the /list endpoint where the city parameter is processed. Organizations should deploy web application firewalls that can detect and block common SQL injection patterns, while also implementing proper output encoding to prevent reflected XSS attacks that could compound the vulnerability. Security measures should include regular code reviews focusing on database interaction patterns, implementation of least privilege database accounts with restricted permissions, and comprehensive testing including automated vulnerability scanning and manual penetration testing. The remediation process must also consider the ATT&CK framework's approach to database access and credential dumping techniques, ensuring that any compromise would not lead to broader network infiltration. Additionally, implementing proper logging and monitoring of database queries can help detect exploitation attempts and provide forensic evidence for incident response activities.