CVE-2025-3847: Markparticle Webserver SQLi Vulnerability

CVE-2025-3847 Overview

A critical SQL injection vulnerability has been discovered in markparticle WebServer up to version 1.0. The vulnerability exists in the Login component within the file code/http/httprequest.cpp, where improper handling of the username and password arguments allows attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive data, data manipulation, or complete database compromise.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, modify database contents, or potentially gain further system access through the vulnerable login mechanism.

Affected Products

markparticle WebServer up to version 1.0
Applications using markparticle WebServer Login component
Systems with exposed code/http/httprequest.cpp endpoint

Discovery Timeline

2025-04-21 - CVE-2025-3847 published to NVD
2025-10-15 - Last updated in NVD database

Technical Details for CVE-2025-3847

Vulnerability Analysis

This SQL injection vulnerability resides in the authentication mechanism of markparticle WebServer. The Login component in code/http/httprequest.cpp fails to properly sanitize user-supplied input for the username and password parameters before incorporating them into SQL queries. This classic injection flaw allows attackers to manipulate the underlying database queries by inserting malicious SQL statements through these input fields.

The vulnerability is particularly concerning because it affects the authentication pathway, meaning successful exploitation could allow attackers to bypass login controls entirely, enumerate database contents, or execute arbitrary SQL commands depending on the database permissions configured for the application.

Root Cause

The root cause of CVE-2025-3847 is insufficient input validation and the lack of parameterized queries in the Login component. The httprequest.cpp file directly concatenates user-supplied username and password values into SQL query strings without proper sanitization or escaping. This violates secure coding practices and introduces CWE-89 (SQL Injection) and CWE-74 (Injection) vulnerabilities.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can remotely target the Login endpoint and submit crafted payloads in the username or password fields. The malicious input is then processed by the server and executed as part of the SQL query, allowing the attacker to:

Bypass authentication by manipulating query logic
Extract sensitive data from the database using UNION-based or blind SQL injection techniques
Modify or delete database records
Potentially escalate privileges or pivot to other systems depending on database configuration

The vulnerability has been publicly disclosed, and technical details are available through the Notion SQL Injection Analysis documentation. Attackers typically exploit such vulnerabilities by injecting payloads like ' OR '1'='1 or more sophisticated techniques involving UNION statements, time-based blind injection, or stacked queries depending on the underlying database system.

Detection Methods for CVE-2025-3847

Indicators of Compromise

Unusual SQL error messages in web server logs indicating syntax errors or malformed queries
Authentication logs showing successful logins from unexpected IP addresses or geographic locations
Database query logs containing suspicious patterns such as UNION SELECT, OR 1=1, or comment sequences (--, #)
Unexpected database modifications or data exfiltration attempts
Web application firewall (WAF) alerts for SQL injection attempts targeting the login endpoint

Detection Strategies

Deploy web application firewalls with SQL injection detection rules targeting the Login endpoint
Implement database activity monitoring to detect anomalous query patterns
Monitor authentication logs for brute force attempts combined with injection payloads
Enable verbose logging on the httprequest.cpp component to capture suspicious input values

Monitoring Recommendations

Configure alerts for SQL syntax errors originating from the authentication module
Set up real-time monitoring for database queries containing injection signatures
Implement rate limiting on the Login endpoint to detect automated exploitation attempts
Review access logs regularly for requests containing URL-encoded SQL special characters

How to Mitigate CVE-2025-3847

Immediate Actions Required

Update markparticle WebServer to a patched version if available from the vendor
Implement input validation and parameterized queries in code/http/httprequest.cpp
Deploy a web application firewall (WAF) with SQL injection protection rules
Restrict database user privileges to minimum required permissions
Consider temporarily disabling the vulnerable Login endpoint until a fix is applied

Patch Information

No official vendor patch has been confirmed at this time. Organizations should monitor the VulDB #305775 entry for updates. In the absence of an official patch, implementing the workarounds below is strongly recommended. For technical details on the vulnerability, refer to the SQL Injection Analysis documentation.

Workarounds

Implement prepared statements or parameterized queries in the affected httprequest.cpp file
Add server-side input validation to reject special characters commonly used in SQL injection attacks
Deploy network-level filtering to inspect and block malicious payloads targeting the Login endpoint
Place the WebServer behind a reverse proxy with SQL injection detection capabilities
Implement multi-factor authentication to reduce the impact of authentication bypass

bash

# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:username|ARGS:password "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection Attempt Detected - CVE-2025-3847',\
    tag:'application-multi',\
    tag:'language-sql',\
    tag:'attack-sqli'"