CVE-2019-25299: RimbaLinux AhadPOS SQLi Vulnerability

CVE-2019-25299 Overview

CVE-2019-25299 is a SQL Injection vulnerability affecting RimbaLinux AhadPOS version 1.11. The vulnerability exists in the alamatCustomer parameter, allowing attackers to manipulate database queries through crafted POST requests. Attackers can exploit time-based and boolean-based blind SQL injection techniques to extract sensitive information or potentially interact with the underlying database system.

Critical Impact

Successful exploitation allows attackers to bypass authentication, extract sensitive customer and business data, modify database records, or potentially gain further access to the underlying system through database-level attacks.

Affected Products

• RimbaLinux AhadPOS 1.11

Discovery Timeline

• 2026-02-06 - CVE CVE-2019-25299 published to NVD
• 2026-02-06 - Last updated in NVD database

Technical Details for CVE-2019-25299

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) affects the AhadPOS point-of-sale application developed by RimbaLinux. The flaw resides in insufficient input validation of the alamatCustomer parameter, which is used in database queries without proper sanitization or parameterization.

The vulnerability enables both time-based and boolean-based blind SQL injection attacks. In time-based blind SQL injection, attackers inject payloads that cause deliberate delays in database responses, allowing them to infer information based on response timing. Boolean-based blind injection works by crafting queries that return different results based on true/false conditions, enabling data extraction one bit at a time.

As a network-accessible vulnerability requiring low privileges, this issue can be exploited remotely by authenticated users of the POS system. The impact primarily affects data confidentiality, with potential for limited integrity compromise.

Root Cause

The root cause is improper neutralization of special elements used in SQL commands (CWE-89). The alamatCustomer parameter accepts user-supplied input that is directly concatenated into SQL queries without proper input validation, sanitization, or the use of parameterized queries (prepared statements).

Attack Vector

The attack vector is network-based, requiring an attacker to send specially crafted POST requests to the vulnerable application endpoint. The attacker must have low-level authentication to access the functionality that processes the alamatCustomer parameter. Once authenticated, the attacker can inject malicious SQL syntax into the parameter value to manipulate the backend database queries.

The exploitation methodology involves crafting payloads that leverage either time-based delays (using database-specific functions like SLEEP() or BENCHMARK()) or boolean conditions to systematically extract data from the database without direct visibility of query results.

For technical details and proof-of-concept information, refer to the Exploit-DB #47585 advisory and the VulnCheck Advisory.

Detection Methods for CVE-2019-25299

Indicators of Compromise

• Unusual POST requests containing SQL syntax patterns in the alamatCustomer parameter
• Database query logs showing time-based functions like SLEEP(), BENCHMARK(), or WAITFOR DELAY in unexpected contexts
• Abnormal response times for requests to AhadPOS endpoints that may indicate time-based blind SQL injection probing
• Web application firewall (WAF) alerts for SQL injection patterns targeting customer-related endpoints

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in POST request parameters
• Enable detailed logging on the AhadPOS application to capture and analyze incoming requests for suspicious payloads
• Implement database activity monitoring to detect unusual query patterns or unauthorized data access attempts
• Use intrusion detection systems (IDS) with SQL injection detection signatures

Monitoring Recommendations

• Monitor web server access logs for requests containing SQL keywords (SELECT, UNION, SLEEP, BENCHMARK) in parameter values
• Set up alerts for unusual database response times that may indicate time-based SQL injection attempts
• Track failed authentication attempts and subsequent parameter manipulation attempts
• Review database audit logs for unauthorized data extraction or modification activities

How to Mitigate CVE-2019-25299

Immediate Actions Required

• Restrict network access to the AhadPOS application to trusted networks and users only
• Implement input validation and sanitization for all user-supplied parameters, particularly alamatCustomer
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules as an interim measure
• Review and audit all database access from the application for signs of compromise

Patch Information

As of the last NVD update, no official vendor patch information is available. Organizations using AhadPOS should check the GitHub AhadPOS Repository for any updates or security fixes. Consider contacting RimbaLinux directly for remediation guidance.

For detailed vulnerability information, refer to the VulnCheck Advisory: AhadPOS SQL Injection.

Workarounds

• Implement parameterized queries (prepared statements) for all database interactions involving user input
• Apply strict input validation to reject any input containing SQL metacharacters in the alamatCustomer field
• Use a Web Application Firewall to filter malicious SQL injection payloads before they reach the application
• Limit database user privileges to the minimum required for application functionality to reduce potential impact

# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:alamatCustomer "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in alamatCustomer parameter',\
    log,\
    auditlog"