CVE-2019-25456 in Emlak
Summary
by MITRE • 02/22/2026
Web Ofisi Emlak v2 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the 'ara' GET parameter. Attackers can send requests to with time-based SQL injection payloads to extract sensitive database information or cause denial of service.
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Analysis
by VulDB Data Team • 03/03/2026
The vulnerability identified as CVE-2019-25456 affects Web Ofisi Emlak version 2, a real estate management system that exposes a critical SQL injection flaw through its web interface. This vulnerability resides in the application's handling of the 'ara' GET parameter, which is used for search functionality within the real estate listing system. The flaw represents a classic input validation failure where user-supplied data enters the application without proper sanitization or parameterization, creating an exploitable entry point for malicious actors. The vulnerability specifically manifests as a time-based SQL injection attack vector, which means that attackers can infer database contents through response timing variations rather than direct data retrieval mechanisms.
The technical exploitation of this vulnerability follows established patterns documented in CWE-89, which categorizes SQL injection as a direct result of insufficient input validation and improper database query construction. Attackers can craft malicious payloads that, when injected through the 'ara' parameter, cause the database server to execute unintended SQL commands. The time-based nature of the injection allows for blind SQL injection techniques where the attacker can determine database structure and contents by observing how query execution times vary. This approach is particularly effective against applications that do not implement proper error handling or output sanitization, which is common in many legacy web applications like the one affected by this CVE.
The operational impact of this vulnerability extends beyond simple data theft to encompass potential system compromise and service disruption. Unauthenticated attackers can exploit this flaw to extract sensitive information including user credentials, real estate listings, and potentially backend system configurations. The denial of service component of this vulnerability can be leveraged to disrupt legitimate service availability, causing business interruption and potential financial loss for the real estate agency utilizing this software. Given that real estate platforms often contain sensitive personal and financial data, the exposure of such information could lead to identity theft, fraud, and regulatory compliance violations under data protection laws.
Mitigation strategies for this vulnerability should prioritize immediate patching of the affected application to address the input validation flaw in the search parameter handling. Organizations should implement proper parameterized queries or prepared statements to prevent SQL injection regardless of input data. Input sanitization measures including character encoding, length validation, and whitelisting of acceptable input patterns should be deployed to prevent malicious data from reaching the database layer. Network-level protections such as web application firewalls can provide additional defense-in-depth measures, though they should not be relied upon as the primary solution. The vulnerability also highlights the importance of regular security assessments and code reviews, particularly for legacy applications that may contain undiscovered injection points. This flaw aligns with ATT&CK technique T1213.002 which covers data from information repositories, demonstrating how SQL injection can be used to extract sensitive data from database systems. Organizations should also implement proper logging and monitoring to detect exploitation attempts, as the time-based nature of this injection makes it particularly difficult to identify through traditional network traffic analysis alone.