CVE-2025-14192: Online-Banking SQLi Vulnerability

CVE-2025-14192 Overview

A SQL Injection vulnerability has been identified in the RashminDungrani online-banking application. The vulnerability exists in the /site/dist/auth_login.php file, where the Username parameter is improperly sanitized before being used in SQL queries. This flaw allows remote attackers to manipulate database queries through specially crafted input, potentially leading to unauthorized data access, data modification, or complete database compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability without authentication to access, modify, or delete sensitive banking data through the login page's Username field.

Affected Products

• RashminDungrani online-banking (up to commit 2337ad552ea9d385b4e07b90e6f32d011b7c68a2)

Discovery Timeline

• 2025-12-07 - CVE-2025-14192 published to NVD
• 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2025-14192

Vulnerability Analysis

This SQL injection vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The vulnerable endpoint auth_login.php processes user-supplied input from the Username parameter without adequate sanitization or parameterization, allowing attackers to inject malicious SQL statements that are then executed by the database backend.

The flaw is particularly concerning in a financial application context, as it directly affects the authentication mechanism. An attacker could potentially bypass authentication entirely, extract sensitive customer financial data, modify account balances, or perform destructive operations on the database. The exploit has been publicly disclosed, increasing the risk of exploitation in the wild.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries (prepared statements) in the authentication logic. The Username parameter from user input is directly concatenated into SQL queries without proper escaping or sanitization, allowing attackers to break out of the intended query structure and execute arbitrary SQL commands.

Attack Vector

The attack can be initiated remotely over the network without requiring prior authentication. An attacker can manipulate the Username field in the login form at /site/dist/auth_login.php by submitting crafted SQL syntax. Common attack techniques include:

• Authentication bypass: Using payloads like ' OR '1'='1 to bypass login checks
• Union-based extraction: Leveraging UNION SELECT statements to extract data from other tables
• Error-based enumeration: Crafting inputs that generate database errors revealing schema information
• Blind SQL injection: Using time-based or boolean-based techniques when direct output is not available

Since the product uses continuous delivery with rolling releases, no specific version numbers are available for tracking affected deployments. The vendor was contacted during responsible disclosure but did not respond.

Detection Methods for CVE-2025-14192

Indicators of Compromise

• Unusual database queries containing SQL syntax characters (', ", ;, --, /*) in the Username field
• Authentication bypass attempts where users gain access without valid credentials
• Database error messages appearing in application logs related to malformed queries
• Unexpected data exfiltration or database access patterns

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in POST parameters to auth_login.php
• Monitor application logs for repeated failed login attempts with suspicious Username values containing SQL metacharacters
• Deploy database activity monitoring to detect anomalous query patterns, especially from the web application service account
• Use intrusion detection systems (IDS) with SQL injection signature rules

Monitoring Recommendations

• Enable detailed logging for the /site/dist/auth_login.php endpoint, capturing full request parameters
• Configure alerting for database queries containing UNION, SELECT, INSERT, UPDATE, DELETE, or DROP statements originating from user input
• Implement rate limiting on authentication endpoints to slow down automated exploitation attempts

How to Mitigate CVE-2025-14192

Immediate Actions Required

• Restrict network access to the affected online-banking application until patched
• Deploy a Web Application Firewall with SQL injection protection rules in front of the application
• Review database access logs for any signs of past exploitation
• Consider disabling or restricting the affected /site/dist/auth_login.php endpoint if an alternative authentication method exists

Patch Information

The vendor (RashminDungrani) was contacted during responsible disclosure but did not respond. As of the last update, no official patch has been released. Organizations using this software should implement workarounds or consider alternative solutions. Monitor the GitHub repository and VulDB entry for updates.

Workarounds

• Implement prepared statements with parameterized queries in the auth_login.php file if you have access to modify the source code
• Deploy input validation to reject Username values containing SQL metacharacters at the application or WAF layer
• Use stored procedures for database authentication queries to add an additional layer of protection
• Implement network segmentation to limit database exposure from the web application tier

# Example WAF rule for ModSecurity to block SQL injection in Username parameter
SecRule ARGS:Username "@detectSQLi" \
    "id:100001,\
    phase:2,\
    block,\
    msg:'SQL Injection attempt detected in Username parameter',\
    log,\
    severity:'CRITICAL'"