CVE-2018-25191: Facturation System 1.0 SQLi Vulnerability

CVE-2018-25191 Overview

Facturation System 1.0 contains an SQL injection vulnerability that allows authenticated attackers to execute arbitrary SQL queries by injecting malicious code through the mod_id parameter. Attackers can send POST requests to the editar_producto.php endpoint with crafted SQL payloads in the mod_id parameter to extract sensitive database information including usernames, database names, and version details.

Critical Impact

Authenticated attackers can exploit this SQL injection vulnerability to extract sensitive database contents, potentially compromising user credentials, business data, and system configuration information.

Affected Products

• Facturation System 1.0

Discovery Timeline

• 2026-03-06 - CVE CVE-2018-25191 published to NVD
• 2026-03-09 - Last updated in NVD database

Technical Details for CVE-2018-25191

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), a critical web application security flaw where user-supplied input is incorporated into SQL queries without proper sanitization or parameterization. The vulnerable endpoint editar_producto.php accepts POST requests containing the mod_id parameter, which is directly concatenated into database queries without validation.

The attack requires authentication, meaning an attacker must first obtain valid credentials to the Facturation System. Once authenticated, the attacker can craft malicious SQL payloads that manipulate the intended query logic to extract unauthorized data from the underlying database.

Root Cause

The root cause of this vulnerability is improper input validation and the failure to use parameterized queries or prepared statements when handling the mod_id parameter. The application directly incorporates user-supplied input into SQL statements, allowing attackers to break out of the intended query context and inject arbitrary SQL commands.

Attack Vector

The attack is network-based and targets the editar_producto.php endpoint via HTTP POST requests. An authenticated attacker constructs a payload containing SQL metacharacters and injection syntax within the mod_id parameter. When the application processes this malicious input, the injected SQL code executes against the database server.

Typical exploitation techniques for this vulnerability include UNION-based injection to extract data from other tables, time-based blind injection to infer data through response delays, and error-based injection to extract information through database error messages. Attackers commonly target system tables to enumerate database structure, user credentials, and application data.

For detailed technical analysis and proof-of-concept information, refer to the Exploit-DB #45813 and the VulnCheck Advisory on SQL Injection.

Detection Methods for CVE-2018-25191

Indicators of Compromise

• Unusual POST requests to editar_producto.php containing SQL syntax characters such as single quotes, UNION statements, or comment sequences (--, #, /*)
• Database error messages appearing in application logs or HTTP responses indicating SQL syntax errors
• Anomalous database query patterns showing data extraction from system tables or unauthorized table access
• Increased failed login attempts followed by successful authentication and suspicious parameter manipulation

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the mod_id parameter
• Implement database activity monitoring to alert on suspicious query patterns, particularly those accessing system tables or using UNION statements
• Configure application logging to capture all requests to editar_producto.php with full parameter details for forensic analysis
• Enable database query logging to identify injection attempts and correlate with application access logs

Monitoring Recommendations

• Monitor HTTP POST request logs for the editar_producto.php endpoint, specifically analyzing the mod_id parameter for injection patterns
• Set up alerts for database queries containing unexpected SQL keywords or syntax from the Facturation System application context
• Implement real-time security monitoring for authentication events followed by unusual database access patterns
• Review access logs regularly for signs of automated scanning tools targeting the vulnerable endpoint

How to Mitigate CVE-2018-25191

Immediate Actions Required

• Restrict network access to the Facturation System to trusted internal networks only until a patch is applied
• Implement strong Web Application Firewall rules to filter SQL injection attempts targeting the mod_id parameter
• Review and audit all user accounts with access to the system, removing unnecessary privileges and disabling unused accounts
• Enable enhanced logging on both the web application and database server to detect exploitation attempts

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations should consider implementing compensating controls or replacing the affected software with a maintained alternative. For the latest information, consult the VulnCheck Advisory on SQL Injection.

Workarounds

• Implement input validation at the application layer to reject any mod_id values containing SQL metacharacters or non-numeric input
• Deploy a reverse proxy or WAF with SQL injection detection capabilities in front of the Facturation System
• Modify the application code to use parameterized queries or prepared statements if source code access is available
• Implement database user privilege restrictions to limit the application's database account to minimum required permissions

# Example WAF rule configuration (ModSecurity)
# Block SQL injection patterns in mod_id parameter
SecRule ARGS:mod_id "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in mod_id parameter',\
    tag:'attack-sqli'"