CVE-2025-10610: Winsure SQL Injection Vulnerability

CVE-2025-10610 Overview

CVE-2025-10610 is a critical SQL Injection vulnerability affecting SFS Consulting Information Processing Industry and Foreign Trade Inc. Winsure software. The vulnerability allows attackers to perform Blind SQL Injection attacks against the application, potentially compromising the confidentiality, integrity, and availability of sensitive data stored in backend databases.

Critical Impact

This network-accessible SQL Injection vulnerability requires no authentication or user interaction, enabling remote attackers to extract sensitive data, modify database contents, or potentially execute operating system commands through database functions.

Affected Products

• SFS Consulting Winsure through Version dated 21.08.2025

Discovery Timeline

• October 14, 2025 - CVE-2025-10610 published to NVD
• October 14, 2025 - Last updated in NVD database

Technical Details for CVE-2025-10610

Vulnerability Analysis

This vulnerability stems from improper neutralization of special elements used in SQL commands (CWE-89). The Winsure application fails to adequately sanitize user-supplied input before incorporating it into SQL queries, creating an opportunity for Blind SQL Injection attacks.

In Blind SQL Injection scenarios, attackers cannot directly observe query results but can infer information by analyzing application behavior differences based on true/false conditions in injected queries. This technique allows methodical extraction of database contents, including usernames, passwords, and other sensitive business data.

The vulnerability is network-accessible with low attack complexity, requiring no privileges or user interaction to exploit. Successful exploitation can lead to complete compromise of database confidentiality, integrity, and availability.

Root Cause

The root cause of CVE-2025-10610 is insufficient input validation and sanitization within the Winsure application. User-controlled data is directly concatenated or interpolated into SQL query strings without proper parameterization or escaping. This allows attackers to inject malicious SQL syntax that alters the intended query logic.

Common contributing factors include:

• Lack of parameterized queries or prepared statements
• Insufficient input validation and sanitization routines
• Missing or improperly configured Web Application Firewall (WAF) rules
• Inadequate security testing during development lifecycle

Attack Vector

The attack vector is network-based, meaning attackers can exploit this vulnerability remotely over the internet or internal network. The Blind SQL Injection technique typically involves:

1. Boolean-based Blind Injection: Attackers craft queries that cause different application responses based on true/false conditions, allowing character-by-character data extraction
2. Time-based Blind Injection: Attackers use database sleep functions or computationally expensive operations to infer query results based on response timing differences

For Blind SQL Injection vulnerabilities like CVE-2025-10610, attackers typically identify injectable parameters through reconnaissance, then use automated tools to extract database schema information and sensitive data. The absence of direct error messages requires inference-based techniques, but these methods can still achieve complete database compromise given sufficient time.

For detailed technical information, refer to the USOM Security Notification TR-25-0337.

Detection Methods for CVE-2025-10610

Indicators of Compromise

• Unusual SQL syntax patterns in web application logs including SLEEP(), WAITFOR DELAY, BENCHMARK(), or conditional expressions like 1=1, OR 1=1
• High volume of requests to specific endpoints with varying parameter values suggesting automated enumeration
• Database query logs showing abnormal query patterns or unexpected conditional clauses
• Increased response time variations that may indicate time-based blind injection attempts

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns including UNION-based, boolean-based, and time-based injection techniques
• Implement database activity monitoring to alert on unusual query patterns, failed authentication attempts, or bulk data extraction
• Enable detailed application logging to capture input parameters and correlate with database queries
• Utilize intrusion detection systems (IDS) with SQL injection signature sets tuned for blind injection techniques

Monitoring Recommendations

• Monitor web server access logs for requests containing SQL metacharacters such as single quotes, semicolons, and comment sequences
• Track database server performance metrics for anomalous timing patterns that may indicate time-based injection exploitation
• Implement real-time alerting for authentication failures or privilege escalation attempts in database systems
• Review application error logs for database-related exceptions that may indicate injection attempts

How to Mitigate CVE-2025-10610

Immediate Actions Required

• Identify all Winsure deployments within your environment and assess exposure to external networks
• Apply vendor patches or updates as soon as they become available from SFS Consulting
• Implement network-level access controls to restrict access to Winsure instances from untrusted networks
• Deploy or configure WAF rules to detect and block SQL injection patterns targeting affected endpoints
• Enable enhanced logging and monitoring on affected systems pending patch deployment

Patch Information

Organizations should consult the USOM Security Notification TR-25-0337 for official remediation guidance. Contact SFS Consulting directly for patch availability and deployment instructions for Winsure installations running versions through the August 21, 2025 release.

Workarounds

• Implement a Web Application Firewall (WAF) with SQL injection protection rules as a compensating control
• Restrict network access to Winsure application endpoints using firewall rules or network segmentation
• Enable database query logging and implement real-time monitoring for suspicious query patterns
• Consider placing affected systems behind a reverse proxy with input validation capabilities
• If feasible, temporarily disable or restrict access to vulnerable functionality until patches are applied

# Example WAF rule configuration for SQL injection protection
# Adjust parameters based on your specific WAF implementation

# Block requests containing common SQL injection patterns
# This is a conceptual example - refer to your WAF vendor documentation

# Enable logging for SQL injection detection
log_sql_injection_attempts = true
block_sql_metacharacters = true
inspect_request_parameters = true
inspect_request_body = true