CVE-2017-17643 in FS Lynda Clone
Summary
by MITRE
FS Lynda Clone 1.0 has SQL Injection via the keywords parameter to tutorial/.
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Analysis
by VulDB Data Team • 09/05/2025
CVE-2017-17643 represents a critical sql injection vulnerability discovered in FS Lynda Clone version 1.0, specifically affecting the tutorial/ endpoint where the keywords parameter is improperly handled. This vulnerability falls under the common weakness enumeration CWE-89 which categorizes improper neutralization of special elements used in an sql command. The flaw occurs when user input from the keywords parameter is directly incorporated into sql queries without adequate sanitization or parameterization, creating an exploitable entry point for malicious actors to manipulate database operations.
The technical implementation of this vulnerability allows attackers to inject malicious sql payloads through the tutorial/ endpoint by manipulating the keywords parameter value. When the application processes this parameter, it concatenates user-supplied input directly into sql query strings, enabling unauthorized access to database resources. Attackers can leverage this weakness to extract sensitive information, modify database contents, or even execute administrative commands on the underlying database system. The vulnerability exists due to insufficient input validation and improper query construction practices within the application's backend processing logic.
Operationally, this sql injection vulnerability poses significant risks to the affected system and its users. Successful exploitation could result in complete database compromise, data exfiltration, and potential system takeover. The impact extends beyond immediate data loss to include regulatory compliance violations, financial losses, and reputational damage. Organizations using FS Lynda Clone 1.0 are particularly vulnerable as this represents a known weakness in a widely deployed educational content management system. The vulnerability can be exploited by remote attackers without requiring authentication, making it particularly dangerous for publicly accessible web applications.
Mitigation strategies for CVE-2017-17643 should prioritize immediate implementation of input validation and parameterized queries. The most effective remediation involves replacing direct string concatenation with prepared statements or parameterized queries that properly separate user input from sql command structure. Organizations should implement proper input sanitization techniques including whitelisting acceptable characters, length restrictions, and encoding mechanisms. Additionally, regular security testing including automated sql injection scanning and manual penetration testing should be conducted to identify similar vulnerabilities. The application should also implement proper error handling to prevent information disclosure and employ web application firewalls to detect and block malicious sql injection attempts. This vulnerability demonstrates the critical importance of following secure coding practices and adhering to established security frameworks such as those outlined in the owasp top ten project and nist cybersecurity framework.