CVE-2025-15498: Pro3W CMS Auth Bypass Vulnerability

CVE-2025-15498 Overview

Pro3W CMS is vulnerable to SQL injection attacks in the login form due to improper neutralization of user-supplied input. This critical vulnerability allows an unauthenticated attacker to bypass authentication mechanisms and gain administrative privileges on the affected system. The lack of proper input sanitization in the login form enables attackers to manipulate SQL queries and compromise the entire CMS installation.

Critical Impact

Unauthenticated attackers can bypass authentication and gain full administrative access to Pro3W CMS installations, potentially leading to complete system compromise, data theft, and unauthorized content manipulation.

Affected Products

• Pro3W CMS version 1.2.0
• Pro3W CMS versions released before January 2026

Discovery Timeline

• 2026-02-27 - CVE CVE-2025-15498 published to NVD
• 2026-03-02 - Last updated in NVD database

Technical Details for CVE-2025-15498

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists within the authentication mechanism of Pro3W CMS, specifically in how the login form processes user-supplied credentials before incorporating them into database queries.

The vulnerability allows attackers to inject malicious SQL code through the login form fields. When the application constructs SQL queries to verify user credentials, it fails to properly sanitize or parameterize the input, allowing attackers to manipulate the query logic. This can result in authentication bypass, unauthorized data access, and potential administrative privilege escalation.

The attack is particularly dangerous because it requires no authentication to exploit, can be performed remotely over the network, and grants high-impact access to confidential data and system integrity.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and parameterized queries in the authentication module. The login form directly incorporates user-supplied input into SQL statements without sanitization, escaping, or the use of prepared statements. This classic SQL injection pattern allows attackers to break out of the intended query structure and inject arbitrary SQL commands.

Attack Vector

The attack vector is network-based, requiring no prior authentication or user interaction. An attacker can exploit this vulnerability by:

1. Navigating to the Pro3W CMS login page
2. Injecting SQL payload into the username or password field
3. Submitting the form to trigger the malicious query execution
4. Bypassing authentication checks to gain administrative access

The SQL injection payload manipulates the authentication query to return a successful login result regardless of valid credentials. Once authenticated as an administrator, the attacker gains full control over the CMS, including the ability to modify content, access sensitive data, and potentially execute further attacks against the underlying server.

For detailed technical analysis, refer to the CERT Analysis on CVE-2025-15498.

Detection Methods for CVE-2025-15498

Indicators of Compromise

• Unusual or malformed login attempts containing SQL syntax characters such as single quotes ('), double dashes (--), or OR 1=1 patterns
• Multiple failed authentication attempts followed by sudden successful admin logins from unknown IP addresses
• Database query logs showing unexpected SQL commands or syntax errors during authentication attempts
• Web server access logs containing suspicious payloads in POST requests to login endpoints

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in login form submissions
• Enable detailed database query logging and monitor for anomalous authentication queries
• Implement intrusion detection system (IDS) signatures for SQL injection attack patterns targeting authentication endpoints
• Configure Security Information and Event Management (SIEM) alerts for authentication bypass indicators

Monitoring Recommendations

• Monitor access logs for POST requests to login pages containing SQL metacharacters
• Track administrative login events and correlate with expected user behavior and IP addresses
• Set up alerts for database errors related to SQL syntax during authentication processes
• Review and audit administrative actions for unauthorized changes following suspicious login activity

How to Mitigate CVE-2025-15498

Immediate Actions Required

• Upgrade Pro3W CMS to versions released in January 2026 or later, which address this vulnerability
• Implement a Web Application Firewall (WAF) with SQL injection protection rules as an interim measure
• Restrict access to the CMS login page to trusted IP addresses where feasible
• Review administrative accounts and audit recent logins for signs of unauthorized access

Patch Information

The vendor has addressed this vulnerability in Pro3W CMS versions released in January 2026 and later. Due to lack of vendor response during the disclosure process, exact version numbers for the patched releases could not be determined. Organizations should update to the latest available version of Pro3W CMS to ensure this vulnerability is remediated.

For additional information, visit the Pro3W Security Overview page.

Workarounds

• Deploy a Web Application Firewall (WAF) configured to block SQL injection patterns in authentication requests
• Implement IP-based access restrictions for administrative login pages using server configuration or firewall rules
• Enable additional authentication factors (MFA) if supported by the CMS or through a reverse proxy
• Consider temporarily disabling public access to the login form until patches can be applied

# Example WAF rule for ModSecurity to block SQL injection in login forms
SecRule ARGS:username|ARGS:password "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt blocked on login form',\
    tag:'CVE-2025-15498'"