CVE-2025-52025: Aptsys gemscms POS SQLi Vulnerability

CVE-2025-52025 Overview

An SQL Injection vulnerability exists in the GetServiceByRestaurantID endpoint of the Aptsys gemscms POS Platform backend through 2025-05-28. The vulnerability arises because user input is directly inserted into a dynamic SQL query syntax without proper sanitization or parameterization. This allows an attacker to inject and execute arbitrary SQL code by submitting crafted input in the id parameter, leading to unauthorized data access or modification.

Critical Impact

This SQL Injection vulnerability enables unauthenticated remote attackers to execute arbitrary SQL commands against the backend database, potentially resulting in complete data breach, unauthorized data modification, and compromise of sensitive POS transaction records.

Affected Products

• Aptsys gemscms POS Platform backend (through 2025-05-28)

Discovery Timeline

• 2026-01-23 - CVE-2025-52025 published to NVD
• 2026-01-26 - Last updated in NVD database

Technical Details for CVE-2025-52025

Vulnerability Analysis

This vulnerability represents a classic SQL Injection flaw (CWE-89) in the Aptsys gemscms Point-of-Sale Platform. The GetServiceByRestaurantID endpoint accepts user-supplied input via the id parameter and directly concatenates this value into SQL query strings without implementing proper input validation, sanitization, or parameterized queries.

The network-accessible nature of this vulnerability means that any remote attacker without authentication can exploit it. The attack requires no user interaction and has low complexity, making it highly exploitable. Successful exploitation grants attackers the ability to read sensitive database contents, modify or delete critical POS data, and potentially escalate their access depending on database configuration and permissions.

Root Cause

The root cause stems from improper input validation and the use of dynamic SQL query construction. The application directly incorporates user-controlled data from the id parameter into SQL statements using string concatenation rather than employing prepared statements or parameterized queries. This fundamental coding practice violation allows malicious SQL syntax to be interpreted as part of the query structure rather than as data values.

Attack Vector

The attack vector is network-based, targeting the GetServiceByRestaurantID endpoint exposed by the gemscms POS Platform backend. An attacker can craft malicious HTTP requests containing SQL injection payloads in the id parameter. These payloads can include SQL syntax such as UNION SELECT statements to exfiltrate data, boolean-based blind injection techniques, or time-based injection for environments where direct output is not visible.

The vulnerability allows attackers to bypass application logic and interact directly with the underlying database, potentially accessing customer payment information, transaction records, restaurant configuration data, and other sensitive information stored within the POS system database.

Detection Methods for CVE-2025-52025

Indicators of Compromise

• Unusual SQL error messages in application logs originating from the GetServiceByRestaurantID endpoint
• HTTP requests to the vulnerable endpoint containing SQL metacharacters such as single quotes, double dashes, or UNION keywords in the id parameter
• Database query logs showing unexpected queries, particularly those with UNION SELECT, OR 1=1, or other injection patterns
• Anomalous data access patterns in database audit logs indicating bulk data retrieval or unauthorized table access

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the id parameter
• Implement database activity monitoring to identify unusual query patterns or unauthorized data access attempts
• Configure application logging to capture all requests to the GetServiceByRestaurantID endpoint for forensic analysis
• Enable SQL query logging on the database server to identify injection attempts and successful exploitations

Monitoring Recommendations

• Monitor network traffic for requests to the GetServiceByRestaurantID endpoint containing suspicious characters or SQL keywords
• Set up alerts for database errors related to malformed SQL queries that may indicate injection attempts
• Review access logs regularly for patterns consistent with automated SQL injection scanning tools
• Implement rate limiting on the vulnerable endpoint to slow automated exploitation attempts

How to Mitigate CVE-2025-52025

Immediate Actions Required

• Restrict network access to the GetServiceByRestaurantID endpoint using firewall rules or network segmentation until a patch is available
• Deploy WAF rules specifically targeting SQL injection patterns in the id parameter
• Implement input validation at the network perimeter to reject requests containing SQL metacharacters
• Review database permissions to ensure the application database account has minimal required privileges

Patch Information

As of the last modification date (2026-01-26), vendor patch information has not been publicly documented. Organizations should monitor the APTSys website for security updates and patch releases. Technical details regarding the vulnerability have been published in a GitHub Gist which may provide additional context for implementing mitigations.

Workarounds

• Implement a reverse proxy or WAF in front of the application to filter and sanitize the id parameter before it reaches the vulnerable endpoint
• If source code access is available, modify the GetServiceByRestaurantID function to use parameterized queries or prepared statements
• Restrict access to the vulnerable endpoint to trusted IP addresses only using network-level access controls
• Consider temporarily disabling the GetServiceByRestaurantID endpoint if the functionality is not business-critical until an official patch is released

# Example WAF rule configuration (ModSecurity)
SecRule ARGS:id "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection attempt detected in GetServiceByRestaurantID',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}',\
    t:none,t:urlDecodeUni,\
    severity:'CRITICAL'"