CVE-2017-17574 in FS Care Clone
Summary
by MITRE
FS Care Clone 1.0 has SQL Injection via the searchJob.php jobType or jobFrequency parameter.
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Analysis
by VulDB Data Team • 09/01/2025
The vulnerability identified as CVE-2017-17574 resides within FS Care Clone 1.0, a software application that appears to manage job-related data through web interfaces. This particular flaw manifests as a SQL injection vulnerability that specifically targets the searchJob.php endpoint, where user-supplied parameters are not properly sanitized or validated before being incorporated into database queries. The affected parameters include jobType and jobFrequency, which are likely used to filter and retrieve job-related information from a backend database system. This vulnerability represents a critical security weakness that allows malicious actors to manipulate database queries through crafted input values, potentially leading to unauthorized data access, modification, or deletion.
The technical exploitation of this SQL injection vulnerability occurs when an attacker submits malicious input through the jobType or jobFrequency parameters in the searchJob.php script. These parameters are directly concatenated into SQL queries without proper input validation or parameterization, creating an environment where attacker-controlled data can alter the intended query structure. The vulnerability stems from improper input sanitization practices, where the application fails to implement proper parameterized queries or input filtering mechanisms. This flaw aligns with CWE-89, which specifically addresses SQL injection vulnerabilities, and represents a classic example of unsafe database query construction where user input is directly embedded into SQL commands without adequate sanitization measures.
The operational impact of this vulnerability extends beyond simple data theft, as it provides attackers with the capability to execute arbitrary database commands and potentially gain deeper system access. An attacker could leverage this vulnerability to extract sensitive information from the database, including user credentials, job configurations, or other confidential business data. The attack surface is particularly concerning because it targets a search functionality that is likely frequently used and accessible to various user roles. Depending on the database permissions assigned to the application, attackers might also be able to modify or delete data, execute administrative commands, or even escalate privileges within the database system, making this vulnerability particularly dangerous in enterprise environments where data integrity and confidentiality are paramount.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements to prevent similar issues in the future. The primary fix involves implementing proper input validation and parameterized queries throughout the application's database interaction layers, ensuring that all user-supplied parameters are properly escaped or parameterized before being incorporated into SQL statements. Organizations should also implement web application firewalls and input filtering mechanisms to detect and block suspicious query patterns. Additionally, regular security testing including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities in other parts of the application. This vulnerability demonstrates the critical importance of following secure coding practices as outlined in OWASP Top 10 and NIST cybersecurity guidelines, particularly focusing on input validation and database security controls. The remediation process should include comprehensive code review to ensure that all database queries are properly parameterized and that no other similar vulnerabilities exist within the application's codebase, while also implementing proper access controls and database auditing mechanisms to monitor for unauthorized database activities.