CVE-2025-2812: Mydata Ticket Sales Automation SQLi Flaw

CVE-2025-2812 Overview

CVE-2025-2812 is a critical SQL Injection vulnerability affecting Mydata Informatics Ticket Sales Automation software. The vulnerability allows attackers to perform Blind SQL Injection attacks, enabling unauthorized access to sensitive database information, data manipulation, and potential full system compromise. This issue stems from improper neutralization of special elements used in SQL commands within the application.

Critical Impact

This vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands against the backend database, potentially leading to complete data breach, unauthorized data modification, and service disruption.

Affected Products

• Mydata Ticket Sales Automation versions prior to 03.04.2025 (DD.MM.YYYY)

Discovery Timeline

• 2025-05-02 - CVE-2025-2812 published to NVD
• 2025-05-28 - Last updated in NVD database

Technical Details for CVE-2025-2812

Vulnerability Analysis

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). The Blind SQL Injection flaw exists within the Mydata Ticket Sales Automation application, which fails to properly sanitize user-supplied input before incorporating it into SQL queries.

Unlike traditional SQL Injection where results are directly displayed, Blind SQL Injection requires attackers to infer database content through application behavior changes, time delays, or conditional responses. This makes detection more challenging while still allowing complete database compromise through systematic extraction of data.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring any authentication or user interaction, significantly increasing the risk exposure for organizations running vulnerable versions.

Root Cause

The root cause of this vulnerability is the failure to properly validate, sanitize, or parameterize user input before it is incorporated into SQL queries. The application directly concatenates user-controlled data into SQL statements, allowing malicious actors to inject arbitrary SQL syntax that modifies the intended query logic.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication or user interaction. An attacker can craft specially formatted input containing SQL syntax that, when processed by the vulnerable application, executes unintended database commands. The Blind SQL Injection technique involves:

1. Sending crafted payloads that cause conditional database behavior
2. Observing application responses or timing differences
3. Systematically extracting database structure and contents
4. Potentially escalating to data modification or administrative access

Technical details and proof-of-concept information are available in the GitHub PoC Repository and the USOM Security Notification.

Detection Methods for CVE-2025-2812

Indicators of Compromise

• Unusual or malformed HTTP requests containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
• Abnormal database query patterns including time-based delays or boolean-based conditional responses
• Unexpected database errors in application logs indicating SQL syntax issues
• High volume of requests to specific endpoints associated with user input processing

Detection Strategies

• Deploy Web Application Firewalls (WAF) with SQL Injection detection rules to identify and block malicious payloads
• Implement database activity monitoring to detect unusual query patterns or unauthorized data access attempts
• Enable verbose logging on application servers to capture suspicious input parameters
• Utilize intrusion detection systems (IDS) with signatures for common SQL Injection attack patterns

Monitoring Recommendations

• Monitor database server logs for failed login attempts, unusual query execution times, or error messages indicating injection attempts
• Track HTTP request logs for patterns consistent with automated SQL Injection tools such as SQLMap
• Implement alerting for any database queries containing suspicious syntax from the application layer
• Review access logs for sequential requests that may indicate data enumeration through Blind SQL Injection

How to Mitigate CVE-2025-2812

Immediate Actions Required

• Update Mydata Ticket Sales Automation to version dated 03.04.2025 or later immediately
• Audit database access logs for any evidence of exploitation prior to patching
• Implement Web Application Firewall rules to block SQL Injection attempts as a defense-in-depth measure
• Restrict network access to the application to trusted IP ranges where feasible

Patch Information

Mydata Informatics has addressed this vulnerability in Ticket Sales Automation versions released on or after 03.04.2025 (DD.MM.YYYY format). Organizations should contact Mydata Informatics directly or check the USOM Security Notification for detailed patch information and update procedures.

Workarounds

• Deploy a Web Application Firewall (WAF) configured with SQL Injection prevention rules in front of the vulnerable application
• Implement input validation at the network perimeter using reverse proxy solutions
• Restrict database user permissions to minimum required privileges to limit potential impact
• Consider temporarily disabling affected functionality until patching is complete if business operations permit

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