CVE-2019-25459 in Emlakinfo

Summary

by MITRE • 02/22/2026

Web Ofisi Emlak V2 contains multiple SQL injection vulnerabilities in the endpoint that allow unauthenticated attackers to manipulate database queries through GET parameters. Attackers can inject SQL code into parameters like emlak_durumu, emlak_tipi, il, ilce, kelime, and semt to extract sensitive database information or perform time-based blind SQL injection attacks.

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Analysis

by VulDB Data Team • 03/03/2026

The vulnerability identified as CVE-2019-25459 represents a critical SQL injection flaw within the Web Ofisi Emlak V2 web application that exposes multiple attack vectors through unauthenticated access. This vulnerability specifically targets the application's handling of GET parameters in its web endpoint structure, creating a pathway for malicious actors to manipulate database queries without requiring authentication credentials. The affected parameters including emlak_durumu, emlak_tipi, il, ilce, kelime, and semt collectively form the attack surface where SQL injection payloads can be successfully injected, potentially compromising the entire database infrastructure.

The technical implementation of this vulnerability stems from inadequate input validation and parameter sanitization within the application's backend processing logic. When the web application receives GET requests containing these specific parameters, it directly incorporates user-supplied input into SQL query construction without proper escaping or parameterization mechanisms. This design flaw aligns with CWE-89 which categorizes SQL injection vulnerabilities as a result of insufficient input validation and improper query construction practices. The vulnerability enables attackers to execute arbitrary SQL commands against the underlying database system, potentially leading to unauthorized data access, modification, or deletion operations.

From an operational perspective, this vulnerability presents significant risk to the confidentiality, integrity, and availability of the application's database contents. Attackers can leverage this flaw to extract sensitive information such as user credentials, personal data, system configurations, and business-critical records stored within the database. The implementation of time-based blind SQL injection techniques allows threat actors to perform reconnaissance and data exfiltration without immediate detection, as the attack responses may appear normal to network monitoring systems. This vulnerability directly impacts the application's security posture and could result in regulatory compliance violations, financial losses, and reputational damage for the organization operating the affected system.

The mitigation strategies for this vulnerability should encompass multiple defensive layers to address both immediate remediation needs and long-term security improvements. Immediate fixes should involve implementing proper parameterized queries or prepared statements for all database interactions, ensuring that user input is properly escaped or sanitized before being incorporated into SQL commands. Input validation should be strengthened at both the application and network levels to filter out malicious payloads before they reach the database layer. Additionally, implementing web application firewalls and intrusion detection systems can help detect and prevent exploitation attempts. The vulnerability's classification under CWE-89 and its potential mapping to ATT&CK technique T1190 highlights the importance of comprehensive security testing including automated scanning and manual penetration testing to identify similar vulnerabilities across the application stack. Regular security assessments and code reviews should be conducted to prevent similar injection flaws from emerging in future development cycles, ensuring adherence to secure coding practices and security standards throughout the software development lifecycle.

Responsible

VulnCheck

Reservation

02/22/2026

Disclosure

02/22/2026

Moderation

accepted

CPE

ready

Exploit

Download

EPSS

0.00148

KEV

no

Activities

very low

Sources

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