CVE-2025-7343: Digiwin SFT SQL Injection Vulnerability

CVE-2025-7343 Overview

A critical SQL Injection vulnerability has been identified in the SFT (Smart Factory Technology) solution developed by Digiwin. This vulnerability allows unauthenticated remote attackers to inject arbitrary SQL commands, enabling them to read, modify, and delete database contents without authorization. The flaw represents a severe security risk for organizations using Digiwin's SFT platform in their manufacturing and enterprise resource planning environments.

Critical Impact
Unauthenticated attackers can exploit this SQL Injection vulnerability remotely to gain complete control over database operations, potentially leading to data theft, data manipulation, and complete database destruction.

Affected Products

Digiwin SFT (Smart Factory Technology)

Discovery Timeline

2025-07-21 - CVE-2025-7343 published to NVD
2025-07-22 - Last updated in NVD database

Technical Details for CVE-2025-7343

Vulnerability Analysis

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in the Digiwin SFT application where user-supplied input is not properly sanitized before being incorporated into SQL queries. This allows attackers to manipulate the intended SQL logic by injecting malicious SQL statements.

The vulnerability is particularly severe because it can be exploited by unauthenticated users over the network without any user interaction required. Successful exploitation grants attackers the ability to perform unauthorized database operations including reading sensitive data, modifying records, and deleting entire database contents.

Root Cause

The root cause of CVE-2025-7343 lies in inadequate input validation and the lack of parameterized queries or prepared statements in the Digiwin SFT application. When user input is concatenated directly into SQL queries without proper sanitization or escaping, attackers can break out of the intended query context and inject their own SQL commands.

Attack Vector

The attack can be executed remotely over the network by an unauthenticated attacker. The exploitation process typically involves:

Identifying input fields or parameters that are processed by the backend database
Crafting malicious SQL payloads designed to escape the intended query structure
Injecting these payloads through vulnerable entry points
Executing unauthorized database operations such as data exfiltration, modification, or deletion

Since no authentication is required and the attack complexity is low, this vulnerability presents a significant risk to exposed Digiwin SFT installations. The vulnerability allows for high confidentiality, integrity, and availability impact on affected systems.

Detection Methods for CVE-2025-7343

Indicators of Compromise

Unusual database query patterns or errors in application logs indicating SQL syntax anomalies
Unexpected data modifications or deletions in the SFT database
Suspicious network traffic containing SQL keywords or special characters directed at the SFT application
Database audit logs showing unauthorized read operations on sensitive tables

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect and block common SQL Injection attack patterns
Implement database activity monitoring to identify anomalous query behavior
Enable detailed application and database logging to capture potential exploitation attempts
Conduct regular security scanning of the Digiwin SFT application for SQL Injection vulnerabilities

Monitoring Recommendations

Monitor application logs for SQL error messages that may indicate injection attempts
Track database performance metrics for unusual spikes in query execution
Set up alerts for bulk data extraction or unauthorized database schema access
Review network traffic for patterns consistent with automated SQL Injection tools

How to Mitigate CVE-2025-7343

Immediate Actions Required

Review the official Digiwin News Release for vendor guidance
Apply any available security patches or updates from Digiwin immediately
Restrict network access to the SFT application to trusted IP addresses only
Implement Web Application Firewall rules to block SQL Injection attempts
Conduct a database audit to identify any unauthorized data access or modifications

Patch Information

Organizations should consult the official TWCERT Security Advisory and Digiwin News Release for the latest patch information and remediation guidance. It is critical to apply vendor-provided security updates as soon as they become available.

Workarounds

Implement network segmentation to isolate the SFT application from untrusted networks
Deploy a Web Application Firewall (WAF) with SQL Injection protection rules as a compensating control
Restrict database user privileges to minimize the impact of potential exploitation
Consider disabling or restricting access to vulnerable functionality until a patch is applied
Enable comprehensive logging and monitoring to detect exploitation attempts

bash

# Example WAF rule concept for SQL Injection protection
# Block requests containing common SQL injection patterns
# Note: Actual implementation varies by WAF vendor
# SecRule ARGS "@detectSQLi" "id:1001,deny,status:403,msg:'SQL Injection Detected'"