CVE-2018-25189: Data Center Audit SQL Injection Flaw

CVE-2018-25189 Overview

Data Center Audit 2.6.2 contains an SQL injection vulnerability in the username parameter of dca_login.php that allows unauthenticated attackers to execute arbitrary SQL queries. Attackers can submit crafted SQL payloads through POST requests to extract sensitive database information including usernames, database names, and version details.

Critical Impact

Unauthenticated attackers can exploit the SQL injection vulnerability in the login page to extract sensitive database contents, potentially compromising all stored credentials and data center audit information.

Affected Products

• Data Center Audit version 2.6.2

Discovery Timeline

• 2026-03-06 - CVE CVE-2018-25189 published to NVD
• 2026-03-09 - Last updated in NVD database

Technical Details for CVE-2018-25189

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), a critical web application security flaw where user-supplied input is not properly sanitized before being incorporated into SQL queries. The dca_login.php authentication endpoint fails to validate or parameterize the username field submitted via POST requests, allowing attackers to inject malicious SQL statements directly into database queries.

The network-accessible nature of this vulnerability means any attacker with access to the login page can attempt exploitation without requiring prior authentication. Successful exploitation enables extraction of sensitive database information including user credentials, database structure details, and potentially all data managed by the Data Center Audit application.

Root Cause

The root cause stems from improper input validation in the dca_login.php file. The application directly concatenates user-supplied input from the username parameter into SQL queries without using prepared statements or parameterized queries. This failure to sanitize input before database interaction creates a classic SQL injection attack surface, allowing attackers to manipulate the underlying SQL query structure.

Attack Vector

The attack is conducted over the network by submitting specially crafted POST requests to the dca_login.php endpoint. Attackers inject SQL payloads through the username parameter to manipulate database queries. Using techniques such as UNION-based injection, boolean-based blind injection, or time-based blind injection, attackers can enumerate database contents including table names, column values, user credentials, and database version information.

The vulnerability can be exploited using standard SQL injection tools or manual crafted requests. Technical details and proof-of-concept information are documented in Exploit-DB #45807 and the VulnCheck Security Advisory.

Detection Methods for CVE-2018-25189

Indicators of Compromise

• Unusual or malformed POST requests to dca_login.php containing SQL syntax characters such as single quotes, double dashes, UNION, SELECT, or OR statements
• Database error messages in application logs indicating SQL syntax errors or unexpected query behavior
• Evidence of data exfiltration through time-based delays or encoded responses from the login endpoint
• Authentication logs showing repeated failed login attempts with abnormal username values

Detection Strategies

• Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in POST parameters targeting the login page
• Implement application-level logging to capture all input submitted to dca_login.php for forensic analysis
• Configure intrusion detection systems (IDS) to alert on SQL injection signature patterns in HTTP traffic
• Monitor database query logs for anomalous queries originating from the web application

Monitoring Recommendations

• Enable detailed access logging for all requests to authentication endpoints
• Establish baseline metrics for login page request volumes and alert on significant deviations
• Implement database activity monitoring to detect unauthorized data access or enumeration attempts
• Review web server logs regularly for patterns indicating automated SQL injection scanning tools

How to Mitigate CVE-2018-25189

Immediate Actions Required

• Restrict network access to the Data Center Audit application to trusted IP ranges only
• Place the application behind a web application firewall with SQL injection protection enabled
• Review application and database logs for evidence of prior exploitation attempts
• Consider taking the application offline until a patched version is available or custom mitigations are applied

Patch Information

No vendor patch information is currently available in the CVE data. Organizations should monitor the vendor's official channels for security updates. In the absence of an official patch, implementing defense-in-depth strategies and input validation at the network layer is critical.

For additional technical details, refer to:

• Exploit-DB #45807
• VulnCheck Security Advisory

Workarounds

• Implement a web application firewall rule to sanitize or block requests containing SQL injection patterns in the username parameter
• Deploy network-level access controls to limit exposure of the dca_login.php endpoint to authorized users only
• If source code access is available, modify dca_login.php to use prepared statements or parameterized queries for all database interactions
• Consider implementing additional authentication layers such as VPN or IP whitelisting before the application login page

# Example WAF rule to block SQL injection patterns (ModSecurity)
SecRule ARGS:username "@rx (?i)(union|select|insert|update|delete|drop|--|;|')" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Blocked'"