SQLi in Farktor Software's E-Commerce Package

The SQL Injection vulnerability allows an attacker to bypass security measures and directly interact with the underlying database. Due to the 'blind' nature of the injection, attackers must infer data through trial and error, typically by observing application responses. Successful exploitation could lead to the extraction of sensitive information such as customer data (names, addresses, credit card details), order history, and potentially even administrative credentials. Lateral movement within the network is possible if the database user has sufficient privileges. The blast radius extends to any data stored within the database, making this a high-impact vulnerability.

Organizations utilizing the Farktor Software E-Commerce Package in versions 0 through 27112025 are at risk, particularly those handling sensitive customer data or financial transactions. Shared hosting environments where multiple customers share the same database instance are especially vulnerable, as a compromise of one customer's account could potentially expose data for others.

• linux / server: Monitor database logs (e.g., MySQL error logs) for unusual SQL queries or error messages related to injection attempts. Use auditd to track database access and identify suspicious patterns.

auditctl -w /var/log/mysql/error.log -p wa -k sql_injection

• database (mysql): Run queries to check for potential injection points.

SELECT VERSION(); --'

• generic web: Use curl to test endpoints for SQL injection vulnerabilities by injecting malicious SQL code into input fields.

curl 'https://example.com/product.php?id=1 UNION SELECT 1,2,3 -- ' 

1. 2026-02-12Disclosure

   disclosure

1. Gereserveerd2025-09-25
2. Gepubliceerd2026-02-12
3. EPSS bijgewerkt2026-03-23

The primary mitigation is to immediately upgrade to version 27112025.0.1 of the E-Commerce Package. If upgrading is not immediately feasible, consider implementing temporary workarounds. Web Application Firewalls (WAFs) configured with rules to detect and block SQL injection attempts can provide a layer of defense. Input validation and parameterized queries should be implemented to prevent future SQL injection vulnerabilities. Monitor database logs for suspicious activity, particularly queries that attempt to bypass security measures.