CVE-2018-25210: WebOfisi E-Ticaret SQLi Vulnerability

CVE-2018-25210 Overview

WebOfisi E-Ticaret 4.0 contains an SQL injection vulnerability in the urun GET parameter that allows unauthenticated attackers to manipulate database queries. Attackers can inject SQL payloads through the urun parameter to execute boolean-based blind, error-based, time-based blind, and stacked query attacks against the backend database. This vulnerability enables remote attackers to extract sensitive data, modify database contents, or potentially compromise the underlying server.

Critical Impact

Unauthenticated SQL injection allowing complete database compromise through multiple attack vectors including boolean-based blind, error-based, time-based blind, and stacked query injection techniques.

Affected Products

• WebOfisi E-Ticaret 4.0

Discovery Timeline

• 2026-03-26 - CVE CVE-2018-25210 published to NVD
• 2026-03-26 - Last updated in NVD database

Technical Details for CVE-2018-25210

Vulnerability Analysis

This SQL injection vulnerability exists due to improper sanitization of user-supplied input in the urun GET parameter. The application fails to properly validate or escape special characters before incorporating user input into SQL queries, allowing attackers to break out of the intended query structure and inject arbitrary SQL commands.

The vulnerability supports multiple injection techniques, making it particularly dangerous:

• Boolean-based blind injection: Attackers can infer database information by observing differences in application responses based on true/false conditions
• Error-based injection: Database error messages leak information about the underlying schema and data
• Time-based blind injection: Attackers use time delays to extract data when no visible output is available
• Stacked queries: Multiple SQL statements can be executed in a single request, enabling destructive operations like data modification or deletion

Root Cause

The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries (prepared statements) when handling the urun parameter. User-controlled input is directly concatenated into SQL query strings without proper escaping or sanitization, allowing attackers to inject malicious SQL syntax that alters the intended query logic.

Attack Vector

The attack is performed over the network by sending crafted HTTP GET requests to the vulnerable endpoint. Since no authentication is required, any remote attacker can exploit this vulnerability. The attacker manipulates the urun parameter value to include SQL injection payloads that modify the database query execution.

A typical attack involves appending SQL syntax to the urun parameter value, such as single quotes to break string delimiters, OR conditions to bypass logic, UNION SELECT statements to extract data from other tables, or time-delay functions like SLEEP() or WAITFOR DELAY to confirm injection success in blind scenarios. For detailed exploitation techniques, refer to the Exploit-DB #45897 entry.

Detection Methods for CVE-2018-25210

Indicators of Compromise

• Unusual SQL syntax appearing in web server access logs, particularly in the urun parameter (e.g., single quotes, UNION, SELECT, OR 1=1)
• Database error messages in application responses indicating query syntax errors
• Abnormal database query execution times suggesting time-based injection attempts
• Unexpected data access patterns or large data exports from the database

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the urun parameter
• Monitor web server logs for requests containing SQL keywords and special characters in GET parameters
• Enable database query logging and alert on queries with unusual structures or syntax errors
• Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

• Configure real-time alerting for SQL syntax in HTTP request parameters across all web-facing applications
• Establish baseline database query patterns and alert on deviations that may indicate injection attacks
• Monitor database user activity for unauthorized data access or privilege escalation attempts
• Review application error logs for database connection errors or malformed query exceptions

How to Mitigate CVE-2018-25210

Immediate Actions Required

• Implement input validation to reject requests containing SQL injection patterns in the urun parameter
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules as a temporary mitigation
• Consider temporarily disabling or restricting access to the affected functionality until a permanent fix is available
• Review and audit database access permissions to minimize potential impact from successful exploitation

Patch Information

Contact WebOfisi for information regarding patches or updates that address this SQL injection vulnerability. Visit the Web Ofisi Homepage for vendor contact information and support resources. Additional technical details can be found in the VulnCheck Advisory.

Workarounds

• Implement server-side input validation to sanitize and escape all user input before database queries
• Use parameterized queries (prepared statements) for all database interactions to prevent SQL injection
• Apply the principle of least privilege to database accounts used by the application
• Consider implementing a WAF rule to block requests with suspicious characters in the urun parameter

# Example WAF ModSecurity rule to block SQL injection patterns
SecRule ARGS:urun "@rx (?i)(\b(union|select|insert|update|delete|drop|truncate|alter|exec|execute|xp_|sp_|0x)\b|'|--|#|/\*)" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt detected in urun parameter'"