CVE-2019-25504 in Jobgator
Summary
by MITRE • 03/04/2026
NCrypted Jobgator contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the experience parameter. Attackers can send POST requests to the agents Find-Jobs endpoint with malicious experience values to extract sensitive database information.
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Analysis
by VulDB Data Team • 03/04/2026
The vulnerability identified as CVE-2019-25504 resides within the NCrypted Jobgator application, representing a critical SQL injection flaw that undermines the system's database security mechanisms. This vulnerability specifically targets the experience parameter within the agents Find-Jobs endpoint, creating an exploitable entry point for unauthenticated attackers to manipulate underlying database queries through malicious SQL code injection techniques. The flaw demonstrates a fundamental failure in input validation and query construction processes, where user-supplied data flows directly into database operations without proper sanitization or parameterization measures.
The technical implementation of this vulnerability follows standard SQL injection patterns where the experience parameter serves as the primary attack vector. When attackers submit POST requests containing malicious SQL payloads through this parameter, the application fails to properly escape or parameterize the input before incorporating it into database queries. This allows attackers to manipulate the intended query structure, potentially extracting sensitive information from the database through techniques such as UNION-based attacks, error message exploitation, or blind SQL injection methods. The vulnerability's classification aligns with CWE-89 which specifically addresses SQL injection flaws in software applications.
Operationally, this vulnerability presents significant risks to organizations utilizing NCrypted Jobgator, as it enables unauthorized data access without requiring authentication credentials. Attackers can leverage this weakness to extract confidential information including but not limited to user credentials, personal identification data, job application details, and potentially system configuration information. The impact extends beyond simple data theft, as successful exploitation could lead to further system compromise through privilege escalation or lateral movement within the network infrastructure. The unauthenticated nature of the attack means that even minimal network exposure could result in unauthorized access, making this vulnerability particularly dangerous in environments where network segmentation is not properly implemented.
Organizations affected by this vulnerability should implement immediate mitigations including input validation and parameterized query execution to prevent SQL injection attacks. The recommended approach involves sanitizing all user inputs through proper escaping mechanisms or implementing prepared statements with parameter binding to ensure that user-supplied data cannot alter the intended structure of database queries. Additionally, implementing web application firewalls and intrusion detection systems can provide additional layers of protection by monitoring for suspicious patterns in incoming requests. Regular security assessments and code reviews should be conducted to identify similar vulnerabilities in other application components, while adherence to secure coding practices and compliance with industry standards such as those outlined in the OWASP Top Ten and NIST cybersecurity frameworks is essential for maintaining robust security postures. The vulnerability demonstrates the critical importance of proper input validation and database query construction practices in preventing exploitation of SQL injection vulnerabilities.