CVE-2025-7631: Tumeva News Software SQLi Vulnerability

CVE-2025-7631 Overview

CVE-2025-7631 is a SQL Injection vulnerability affecting Tumeva News Software developed by Tumeva Internet Technologies Software Information Advertising and Consulting Services Trade Ltd. Co. This vulnerability allows attackers to execute arbitrary SQL commands through improperly neutralized special elements in user input, potentially compromising the confidentiality, integrity, and availability of the underlying database systems.

Critical Impact

This SQL Injection vulnerability enables unauthenticated network-based attackers to manipulate database queries, potentially leading to unauthorized data access, data modification, and denial of service conditions.

Affected Products

• Tumeva News Software through version 17022026

Discovery Timeline

• 2026-02-17 - CVE CVE-2025-7631 published to NVD
• 2026-02-18 - Last updated in NVD database

Technical Details for CVE-2025-7631

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists within Tumeva News Software due to improper neutralization of special elements in user-supplied input before incorporating it into SQL queries. The flaw allows attackers to inject malicious SQL statements that are then executed by the database engine, bypassing intended access controls and security mechanisms.

The vulnerability is exploitable over the network without requiring any authentication or user interaction, making it particularly dangerous for internet-facing deployments. Successful exploitation can result in unauthorized data disclosure, corruption of database contents, and potential denial of service through resource exhaustion or data destruction operations.

Root Cause

The root cause of this vulnerability is insufficient input validation and sanitization within the Tumeva News Software application. User-controllable input is directly concatenated into SQL queries without proper parameterization or escaping of special SQL characters. This allows attackers to break out of the intended query context and inject their own SQL commands.

Common attack patterns include using single quotes, double dashes (comments), UNION statements, and stacked queries to manipulate database operations. The lack of prepared statements or parameterized queries makes the application susceptible to these classic SQL injection techniques.

Attack Vector

The attack vector for CVE-2025-7631 is network-based, allowing remote attackers to exploit the vulnerability without requiring local system access. Attackers can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable input parameters within the Tumeva News Software web interface.

Typical exploitation scenarios involve identifying injectable parameters through reconnaissance, then progressively extracting database structure information, enumerating table contents, and potentially escalating to more severe attacks such as reading sensitive files, executing system commands (depending on database configuration), or causing denial of service conditions.

For detailed technical information about this vulnerability, refer to the USOM Security Notification.

Detection Methods for CVE-2025-7631

Indicators of Compromise

• Unusual database query patterns in application logs, particularly those containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
• Unexpected database errors or verbose error messages returned to clients indicating query syntax failures
• Database audit logs showing unauthorized SELECT, UPDATE, DELETE, or administrative operations
• Anomalous network traffic to database ports from web application servers

Detection Strategies

• Deploy Web Application Firewalls (WAF) configured with SQL injection detection rules to inspect incoming HTTP traffic for malicious payloads
• Implement database activity monitoring solutions to detect and alert on suspicious query patterns or unauthorized data access
• Enable detailed application logging to capture all user input and SQL queries executed by the application
• Use SentinelOne Singularity platform for endpoint detection and response capabilities to identify post-exploitation activities

Monitoring Recommendations

• Monitor web server access logs for requests containing common SQL injection patterns such as ' OR 1=1, UNION SELECT, or -- comment sequences
• Configure database audit logging to track all query executions and alert on anomalous patterns
• Implement real-time alerting for database authentication failures or attempts to access system tables
• Review application error logs for SQL syntax errors that may indicate injection attempts

How to Mitigate CVE-2025-7631

Immediate Actions Required

• Restrict network access to Tumeva News Software deployments using firewall rules to limit exposure to trusted networks only
• Deploy a Web Application Firewall (WAF) in front of the application with SQL injection detection and blocking enabled
• Implement input validation at the network perimeter to filter requests containing SQL injection patterns
• Review and restrict database user privileges to the minimum required for application functionality

Patch Information

No vendor patch is currently available for this vulnerability. The vendor was contacted during the responsible disclosure process but did not respond. Organizations using Tumeva News Software through version 17022026 should implement compensating controls and consider alternative solutions until a patch becomes available. For the latest information, refer to the USOM Security Notification.

Workarounds

• Implement strict input validation on all user-controllable parameters, rejecting requests containing SQL metacharacters
• Deploy database firewall solutions to inspect and block malicious SQL queries before execution
• Configure the database server to use minimal privileges for the application account, preventing administrative operations
• Consider taking the application offline or restricting access to internal networks until a vendor patch is released
• Enable database prepared statements or parameterized queries if application source code modifications are possible

# Example WAF rule configuration for SQL injection blocking
# ModSecurity rule to detect SQL injection patterns
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    log,\
    severity:CRITICAL"