CVE-2025-10857: Campcodes POS System SQLi Vulnerability

CVE-2025-10857 Overview

A SQL injection vulnerability has been discovered in Campcodes Point of Sale System POS version 1.0. This security flaw affects the /login.php file, where improper handling of the Username parameter allows attackers to inject malicious SQL commands. The vulnerability can be exploited remotely without authentication, potentially compromising the confidentiality, integrity, and availability of the underlying database and application data.

Critical Impact

Unauthenticated attackers can remotely exploit the login page to bypass authentication, extract sensitive data, or manipulate database records in retail point-of-sale environments.

Affected Products

• Campcodes Point of Sale System 1.0
• Systems utilizing /login.php with vulnerable Username parameter handling
• Retail and commercial deployments running unpatched Campcodes POS software

Discovery Timeline

• 2025-09-23 - CVE-2025-10857 published to NVD
• 2025-09-25 - Last updated in NVD database

Technical Details for CVE-2025-10857

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) occurs in the authentication mechanism of the Campcodes Point of Sale System. The /login.php file fails to properly sanitize or parameterize user input in the Username field before incorporating it into SQL queries. This lack of input validation enables attackers to craft malicious input that alters the intended SQL query structure.

The vulnerability is particularly concerning in a point-of-sale context, where successful exploitation could lead to unauthorized access to customer payment information, sales records, inventory data, and administrative credentials. The network-based attack vector means any system exposed to the internet or internal network is at risk.

Root Cause

The root cause is improper input validation in the /login.php authentication handler. The Username parameter is directly concatenated into SQL queries without proper sanitization, prepared statements, or parameterized queries. This classic SQL injection pattern allows attackers to escape the intended query context and execute arbitrary SQL commands against the backend database.

Attack Vector

The attack can be executed remotely over the network without requiring any authentication or user interaction. An attacker can target the login form by submitting specially crafted input in the Username field. The malicious payload could include SQL syntax designed to bypass authentication checks, enumerate database contents, extract sensitive information, or modify existing records.

Common exploitation techniques for this type of vulnerability include:

• Authentication bypass - Using payloads like ' OR '1'='1' -- to bypass login verification
• Data extraction - Employing UNION-based queries to retrieve database contents
• Time-based enumeration - Using conditional delays to infer database structure
• Database manipulation - Inserting, updating, or deleting records via stacked queries (if supported)

For technical details on exploitation methodology, refer to the VulDB entry #325228 and the associated analysis documentation.

Detection Methods for CVE-2025-10857

Indicators of Compromise

• Unusual or malformed login attempts containing SQL syntax characters such as single quotes, double dashes, semicolons, or UNION keywords
• Failed authentication attempts followed by immediate successful logins from the same source
• Database error messages appearing in web server logs indicating SQL syntax errors
• Unexpected database queries or data access patterns originating from the web application

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in form submissions
• Monitor authentication logs for anomalous login patterns and repeated failures with unusual username formats
• Deploy database activity monitoring to detect unauthorized queries or data access attempts
• Enable verbose logging on the /login.php endpoint to capture all input parameters for forensic analysis

Monitoring Recommendations

• Configure SIEM alerts for HTTP requests containing common SQL injection payloads targeting the /login.php endpoint
• Monitor database server logs for unexpected query patterns or errors from the web application user account
• Implement network traffic analysis to identify reconnaissance activities targeting the POS login interface
• Establish baseline authentication patterns and alert on statistical anomalies

How to Mitigate CVE-2025-10857

Immediate Actions Required

• Restrict network access to the Campcodes POS system to trusted IP addresses only using firewall rules
• Place the application behind a Web Application Firewall configured with SQL injection detection rules
• Disable external network access to the /login.php endpoint until patches are applied
• Review database and application logs for evidence of prior exploitation attempts

Patch Information

At the time of publication, no official patch has been released by Campcodes for this vulnerability. Organizations should monitor the Campcodes website for security updates. Consider contacting the vendor directly regarding patch availability and timeline.

Workarounds

• Implement application-level input validation to sanitize the Username parameter, rejecting or escaping SQL special characters
• Deploy a reverse proxy with ModSecurity or similar WAF capabilities to filter malicious requests before they reach the application
• Modify the /login.php code to use parameterized queries or prepared statements if source code access is available
• Consider network segmentation to isolate POS systems from untrusted network segments

# Example: iptables rule to restrict access to POS system
iptables -A INPUT -p tcp --dport 80 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP

# Example: ModSecurity rule to block SQL injection attempts
SecRule ARGS:Username "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"