CVE-2025-3847
📋 TL;DR
This critical SQL injection vulnerability in markparticle WebServer allows attackers to execute arbitrary SQL commands via the login username/password fields. Attackers can remotely exploit this to bypass authentication, access/modify database contents, or potentially execute system commands. All users running markparticle WebServer version 1.0 or earlier are affected.
💻 Affected Systems
- markparticle WebServer
📦 What is this software?
Webserver by Markparticle
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise including database destruction, credential theft, and remote code execution leading to full server takeover.
Likely Case
Authentication bypass allowing unauthorized access to web application, data exfiltration, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or failed login attempts.
🎯 Exploit Status
Public exploit details available in disclosed references. Simple SQL injection payloads can be crafted for username/password fields.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: Yes
Instructions:
1. Check vendor website for updated version beyond 1.0
2. If patch available, download and install
3. Restart WebServer service
4. Verify fix implementation
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious login attempts
# Configure WAF rules for SQL injection detection
# Example for ModSecurity: SecRule ARGS "@detectSQLi" "id:1000,phase:2,deny"
Input Validation Filter
allImplement input validation middleware to sanitize username/password parameters
# Example regex filter for SQL injection patterns
# Filter: ['--', ';', 'UNION', 'SELECT', 'INSERT', 'DELETE', 'DROP']
🧯 If You Can't Patch
- Isolate WebServer behind reverse proxy with strict input validation
- Implement network segmentation and restrict database access to minimum required permissions
🔍 How to Verify
Check if Vulnerable:
Test login endpoint with SQL injection payloads like ' OR '1'='1 in username/password fields and observe database errors or successful login bypass.Check Version:
# Check WebServer version
webserver --version
# Or check configuration files for version informationVerify Fix Applied:
Retest with same SQL injection payloads after remediation - should receive proper error messages or failed login attempts without database errors.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed login attempts with special characters
- Database error messages in application logs
Network Indicators:
- HTTP POST requests to login endpoint containing SQL keywords
- Unusual traffic patterns to login page
SIEM Query:
source="webserver.log" AND ("UNION" OR "SELECT" OR "--" OR ";") AND uri_path="/login"