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CVE Vulnerability Database
Vulnerability Database/CVE-2025-10969

CVE-2025-10969: E-Commerce Package SQL Injection Flaw

CVE-2025-10969 is a blind SQL injection vulnerability in Farktor Software's E-Commerce Package that enables attackers to extract sensitive database information. This article covers technical details, affected versions, and mitigation.

Published: February 13, 2026

CVE-2025-10969 Overview

CVE-2025-10969 is a critical SQL Injection vulnerability affecting the Farktor Software E-Commerce Services Inc. E-Commerce Package. This vulnerability allows attackers to perform Blind SQL Injection attacks against affected systems, potentially enabling unauthorized access to sensitive database contents, data manipulation, and complete database compromise.

Critical Impact

This SQL Injection vulnerability enables unauthenticated attackers to execute arbitrary SQL commands against the backend database, potentially leading to complete data breach, unauthorized data modification, and system compromise.

Affected Products

  • Farktor Software E-Commerce Services Inc. E-Commerce Package through version 27112025

Discovery Timeline

  • 2026-02-12 - CVE-2025-10969 published to NVD
  • 2026-02-12 - Last updated in NVD database

Technical Details for CVE-2025-10969

Vulnerability Analysis

This vulnerability stems from improper neutralization of special elements used in SQL commands (CWE-89). The E-Commerce Package fails to properly sanitize user-supplied input before incorporating it into SQL queries. Attackers can exploit this flaw remotely without requiring authentication or user interaction, making it particularly dangerous for internet-facing e-commerce deployments.

The Blind SQL Injection variant of this attack is particularly insidious because it does not return error messages or direct query results to the attacker. Instead, attackers infer information about the database structure and contents through boolean-based or time-based techniques, observing differences in application behavior or response times based on injected SQL conditions.

Root Cause

The root cause of this vulnerability is the improper handling of user input in SQL query construction. The application directly concatenates or interpolates user-controlled data into SQL statements without proper parameterization or input validation. This allows specially crafted input containing SQL syntax to be interpreted as part of the SQL command rather than as literal data values.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can remotely send malicious requests containing SQL injection payloads to the vulnerable e-commerce application. The Blind SQL Injection technique works by:

  1. Injecting conditional SQL statements that cause observable differences in application behavior
  2. Using time-based payloads that introduce delays when conditions are true
  3. Systematically extracting database information character by character through boolean inference

This vulnerability is particularly concerning for e-commerce platforms as they typically store sensitive customer data including personal information, payment details, and transaction histories.

Detection Methods for CVE-2025-10969

Indicators of Compromise

  • Unusual database query patterns with SQL syntax in request parameters
  • Increased database response times indicating time-based SQL injection attempts
  • Error logs showing SQL syntax errors or database exceptions from web requests
  • Abnormal access patterns to sensitive database tables containing customer or financial data

Detection Strategies

  • Monitor web application logs for common SQL injection patterns including UNION SELECT, WAITFOR DELAY, SLEEP(), and boolean-based payloads
  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection attempts
  • Enable database query logging and alert on anomalous query structures or execution times
  • Use SentinelOne Singularity Platform to detect suspicious process behavior and database access patterns

Monitoring Recommendations

  • Configure real-time alerting for SQL injection attack signatures in network traffic
  • Monitor database server performance metrics for unusual query execution times
  • Review application access logs for repeated requests with varying parameter values typical of blind injection enumeration
  • Implement database activity monitoring to track unauthorized data access attempts

How to Mitigate CVE-2025-10969

Immediate Actions Required

  • Identify all deployments of Farktor Software E-Commerce Package within your environment
  • Implement WAF rules to block SQL injection attempts targeting the application
  • Review database access logs for signs of prior exploitation
  • Consider temporarily restricting public access to vulnerable endpoints until patches are applied

Patch Information

Organizations should consult the USOM Security Notification TR-26-0063 for official vendor guidance and patch availability. Contact Farktor Software E-Commerce Services Inc. directly for the latest security updates addressing this vulnerability.

Workarounds

  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the application
  • Implement input validation at the application level to reject requests containing SQL special characters
  • Use database account privilege restrictions to limit the impact of successful injection attacks
  • Enable prepared statements or parameterized queries if configurable at the application level
  • Segment the database server network to limit lateral movement in case of compromise
bash
# Example WAF rule configuration for SQL injection prevention
# Block common SQL injection patterns in query parameters
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    log,\
    severity:'CRITICAL'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechFarktor Software

  • SeverityCRITICAL

  • CVSS Score9.8

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • USOM Security Notification TR-26-0063
  • Related CVEs
  • CVE-2025-13004: E-Commerce Package Auth Bypass Vulnerability
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