CVE-2023-4674: Yaztekteknoloji E-commerce SQLi Vulnerability

CVE-2023-4674 Overview

CVE-2023-4674 is a critical SQL Injection vulnerability affecting Yaztek Software Technologies and Computer Systems E-Commerce Software. The vulnerability stems from improper neutralization of special elements used in SQL commands, allowing remote attackers to execute arbitrary SQL queries against the backend database without authentication.

This vulnerability enables attackers to bypass authentication mechanisms, extract sensitive data including customer information and payment details, modify or delete database records, and potentially achieve remote code execution on the underlying database server.

Critical Impact

Unauthenticated attackers can exploit this SQL Injection vulnerability to fully compromise the e-commerce platform's database, potentially accessing customer credentials, payment information, and gaining administrative control over the affected system.

Affected Products

• Yaztek Software Technologies E-Commerce Software (WordPress plugin) - all versions through 20231229
• yaztekteknoloji e-commerce

Discovery Timeline

• 2023-12-29 - CVE-2023-4674 published to NVD
• 2024-11-21 - Last updated in NVD database

Note: The vendor was contacted early about this disclosure but did not respond in any way.

Technical Details for CVE-2023-4674

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the Yaztek E-Commerce Software for WordPress. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries, allowing attackers to inject malicious SQL statements.

SQL Injection vulnerabilities of this nature typically occur when user input is directly concatenated into database queries without parameterization or proper escaping. In the context of an e-commerce platform, this is particularly dangerous as the database likely contains sensitive customer information, order histories, and potentially payment card data.

The vulnerability can be exploited remotely over the network without requiring any authentication or user interaction, making it highly accessible to attackers.

Root Cause

The root cause of CVE-2023-4674 is improper input validation and the absence of parameterized queries in the application's database interaction layer. When user-controlled data is concatenated directly into SQL statements without sanitization, attackers can break out of the intended query structure and execute arbitrary SQL commands.

This represents a fundamental secure coding failure where input from untrusted sources is treated as trusted data in security-sensitive operations.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable parameters in the e-commerce application.

Typical exploitation scenarios include:

• Authentication Bypass: Injecting SQL to manipulate login queries and gain unauthorized access
• Data Exfiltration: Using UNION-based or blind SQL injection techniques to extract database contents
• Data Manipulation: Modifying prices, order statuses, or user privileges through UPDATE statements
• Privilege Escalation: Creating new administrative accounts or elevating existing account privileges

The vulnerability allows complete database compromise, potentially enabling attackers to read, modify, or delete any data within the database scope accessible to the application's database user.

Detection Methods for CVE-2023-4674

Indicators of Compromise

• Unusual database queries in application logs containing SQL syntax characters (single quotes, double dashes, semicolons, UNION keywords)
• Unexpected database errors or error messages exposed to users
• Anomalous data access patterns or bulk data retrieval from the e-commerce database
• Unauthorized administrative accounts or privilege changes in the user table

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns
• Implement database activity monitoring to alert on suspicious query patterns or excessive data retrieval
• Review web server access logs for requests containing encoded SQL injection payloads
• Monitor for error-based SQL injection attempts by analyzing HTTP responses for database error messages

Monitoring Recommendations

• Enable verbose logging on the database server to capture all queries executed against the e-commerce database
• Configure alerts for login attempts using SQL injection patterns in username or password fields
• Monitor outbound network traffic from the database server for signs of data exfiltration
• Implement real-time log analysis to correlate suspicious web requests with database activity

How to Mitigate CVE-2023-4674

Immediate Actions Required

• Immediately assess if the Yaztek E-Commerce Software is deployed in your environment
• Consider temporarily disabling or isolating affected e-commerce applications until a patch is available
• Implement Web Application Firewall (WAF) rules to block SQL injection attempts
• Review database access logs for signs of prior exploitation
• Restrict database user privileges to minimum required for application functionality

Patch Information

As of the last update, the vendor (Yaztek Software Technologies) has not responded to disclosure attempts and no official patch has been released. Organizations using this software should contact the vendor directly for remediation guidance or consider migrating to an alternative e-commerce solution.

For more information, refer to the USOM Security Bulletin TR-23-0741.

Workarounds

• Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the affected application
• Implement input validation at the reverse proxy or load balancer level to filter malicious payloads
• If source code access is available, implement parameterized queries or prepared statements for all database interactions
• Restrict database permissions to limit the impact of successful SQL injection attacks
• Consider network segmentation to isolate the e-commerce application and database from critical infrastructure

# Example WAF rule for ModSecurity to block common SQL injection patterns
# Add to your ModSecurity configuration
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    logdata:'Matched Data: %{TX.0} found within %{MATCHED_VAR_NAME}',\
    severity:'CRITICAL'"