Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2019-25459

CVE-2019-25459: Web-ofisi Emlak SQLi Vulnerability

CVE-2019-25459 is a SQL injection flaw in Web-ofisi Emlak V2 that lets unauthenticated attackers manipulate database queries via GET parameters. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2019-25459 Overview

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.

Critical Impact

Unauthenticated attackers can exploit SQL injection flaws to extract sensitive database contents, modify data, or perform time-based blind injection attacks against the application.

Affected Products

  • Web-ofisi Emlak version 2.0.0
  • web-ofisi emlak

Discovery Timeline

  • 2026-02-22 - CVE CVE-2019-25459 published to NVD
  • 2026-02-26 - Last updated in NVD database

Technical Details for CVE-2019-25459

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) affects the Web Ofisi Emlak V2 real estate script, enabling unauthenticated remote attackers to inject malicious SQL statements through multiple GET parameters. The vulnerability exists because user-supplied input is directly incorporated into database queries without proper sanitization or parameterization.

The vulnerable parameters include emlak_durumu, emlak_tipi, il, ilce, kelime, and semt, all of which appear to be search or filter parameters used in the real estate listing functionality. An attacker can craft malicious requests containing SQL syntax to manipulate query logic, extract data from the database, or perform time-based blind SQL injection to enumerate database contents.

Root Cause

The root cause of this vulnerability is improper input validation and failure to use parameterized queries or prepared statements when constructing database queries. User-supplied input from GET parameters is directly concatenated into SQL query strings, allowing attackers to break out of the intended query structure and inject arbitrary SQL commands.

Attack Vector

The attack is network-based, requiring no authentication or user interaction. Attackers can exploit this vulnerability by sending specially crafted HTTP GET requests to the vulnerable endpoint with malicious SQL payloads in the affected parameters. The exploitation can be performed through:

  1. Union-based SQL Injection: Injecting UNION SELECT statements to retrieve data from other tables
  2. Time-based Blind SQL Injection: Using SLEEP() or BENCHMARK() functions to infer data through response timing
  3. Error-based SQL Injection: Triggering database errors to extract information through error messages

For technical details and proof-of-concept information, see the Exploit-DB #47142 and the VulnCheck Advisory.

Detection Methods for CVE-2019-25459

Indicators of Compromise

  • HTTP GET requests containing SQL keywords (UNION, SELECT, OR, AND, SLEEP) in query parameters such as emlak_durumu, emlak_tipi, il, ilce, kelime, or semt
  • Unusual database query errors in application logs indicating malformed SQL syntax
  • Abnormal response times suggesting time-based blind SQL injection attempts
  • Database audit logs showing unauthorized data access or enumeration patterns

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in GET parameters
  • Implement application-level logging to capture and alert on suspicious query parameter values
  • Enable database query logging and monitor for unusual query patterns or error rates
  • Use intrusion detection systems with SQL injection signature detection capabilities

Monitoring Recommendations

  • Monitor web server access logs for requests containing encoded or obfuscated SQL injection payloads
  • Set up alerts for repeated requests to the vulnerable endpoint with varying parameter values
  • Track database performance metrics for anomalies indicating time-based injection attempts
  • Implement real-time security monitoring using SentinelOne Singularity platform to detect exploitation attempts

How to Mitigate CVE-2019-25459

Immediate Actions Required

  • Upgrade to Web Ofisi Emlak V3 or the latest patched version if available from the vendor
  • Implement Web Application Firewall rules to block SQL injection attempts targeting the vulnerable parameters
  • Consider taking the affected application offline until a proper fix can be applied
  • Review database access logs for evidence of prior exploitation

Patch Information

Users should check the Web-Ofisi Script Details page for the latest version (V3) which may contain security improvements. Contact the vendor directly for specific patch information regarding CVE-2019-25459.

Workarounds

  • Deploy a Web Application Firewall (WAF) configured with SQL injection detection rules for the affected parameters
  • Implement server-side input validation to sanitize emlak_durumu, emlak_tipi, il, ilce, kelime, and semt parameters
  • Use network segmentation to limit database access from the web application server
  • Consider implementing rate limiting on the affected endpoint to slow down automated exploitation attempts
bash
# Example WAF rule for ModSecurity to block SQL injection in affected parameters
SecRule ARGS:emlak_durumu|ARGS:emlak_tipi|ARGS:il|ARGS:ilce|ARGS:kelime|ARGS:semt "@detectSQLi" \
    "id:100001,phase:2,deny,status:403,log,msg:'SQL Injection attempt blocked in Emlak parameter'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.