CVE-2019-25456: Web-ofisi Emlak SQLi Vulnerability

CVE-2019-25456 Overview

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 with time-based SQL injection payloads to extract sensitive database information or cause denial of service. This vulnerability affects the real estate script's search functionality, exposing backend database contents to unauthorized access.

Critical Impact

Unauthenticated attackers can extract sensitive database information, modify data, or cause denial of service through SQL injection in the search parameter without any prior authentication.

Affected Products

• Web Ofisi Emlak v2.0.0
• Web-ofisi Emlak (all v2 installations)

Discovery Timeline

• 2026-02-22 - CVE-2019-25456 published to NVD
• 2026-02-26 - Last updated in NVD database

Technical Details for CVE-2019-25456

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists in the Web Ofisi Emlak real estate script's search functionality. The application fails to properly sanitize user-supplied input passed through the ara GET parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL statements that are executed by the database server.

The vulnerability is particularly dangerous because it requires no authentication to exploit. Any remote attacker with network access to the affected web application can craft malicious requests to manipulate database queries. The time-based blind SQL injection technique can be used to systematically extract database contents, including user credentials, personal information, and other sensitive data stored in the real estate application's database.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the search functionality. The ara parameter value is directly concatenated into SQL statements without proper sanitization or escaping, allowing attackers to break out of the intended query context and inject malicious SQL code. This is a classic example of CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Attack Vector

The attack is executed remotely over the network without requiring any authentication or user interaction. An attacker sends crafted HTTP GET requests containing SQL injection payloads in the ara parameter. Time-based blind SQL injection techniques allow attackers to infer database contents by observing response timing differences when conditional SQL statements are executed. This enables complete database enumeration and data exfiltration despite the application not directly displaying query results.

The vulnerability allows for high confidentiality impact as attackers can read arbitrary database contents, and low integrity impact as data modification may be possible depending on database permissions.

Detection Methods for CVE-2019-25456

Indicators of Compromise

• Unusual HTTP requests containing SQL syntax characters (single quotes, double dashes, semicolons) in the ara parameter
• Web server logs showing requests with SLEEP(), BENCHMARK(), or WAITFOR DELAY functions in URL parameters
• Anomalous database query execution times indicating time-based injection attempts
• Error messages revealing database structure or SQL syntax errors in application logs

Detection Strategies

• Monitor web application firewall (WAF) logs for SQL injection signature matches in GET parameters
• Implement intrusion detection rules to identify common SQL injection patterns targeting the ara parameter
• Review database slow query logs for unusual query patterns or extended execution times
• Deploy application-layer monitoring to detect anomalous request patterns to search endpoints

Monitoring Recommendations

• Enable detailed logging on web servers to capture full request URIs including query parameters
• Configure database audit logging to track query execution and identify suspicious database access patterns
• Set up alerting for authentication failures or unauthorized data access attempts following injection attacks
• Monitor for bulk data extraction patterns that may indicate successful exploitation

How to Mitigate CVE-2019-25456

Immediate Actions Required

• Restrict access to the affected search functionality until a patch is applied
• Deploy web application firewall (WAF) rules to block common SQL injection patterns in the ara parameter
• Review and audit any potentially compromised database contents for unauthorized access
• Consider taking the affected application offline if sensitive data exposure is a critical concern

Patch Information

No official vendor patch information is currently available. Organizations should contact Web Ofisi directly for security updates or consider implementing a web application firewall as an interim protection measure. Additional technical details can be found in the Exploit-DB #47141 advisory and the VulnCheck Advisory.

Workarounds

• Implement strict input validation on the ara parameter to allow only expected alphanumeric characters
• Deploy a web application firewall with SQL injection protection rules enabled
• Apply the principle of least privilege to database accounts used by the application to limit potential damage
• Consider implementing parameterized queries or prepared statements if modifying the application code is possible

# Example WAF rule to block SQL injection in ara parameter (ModSecurity)
SecRule ARGS:ara "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in ara parameter',\
    tag:'CVE-2019-25456'"