CVE-2025-25993
📋 TL;DR
This SQL injection vulnerability in FeMiner wms 1.0 allows remote attackers to extract sensitive database information by manipulating the 'itemid' parameter. Any organization using FeMiner wms 1.0 with internet-facing instances is affected, potentially exposing customer data, inventory records, or authentication credentials.
💻 Affected Systems
- FeMiner wms
📦 What is this software?
Feminer Wms by Feminer Wms Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data exfiltration, authentication bypass, or remote code execution if database permissions allow.
Likely Case
Extraction of sensitive business data including customer information, inventory records, and potentially authentication credentials.
If Mitigated
Limited information disclosure if proper input validation and parameterized queries are implemented.
🎯 Exploit Status
SQL injection via 'itemid' parameter requires minimal technical skill to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://github.com/FeMiner/wms/issues/21
Restart Required: No
Instructions:
1. Check GitHub repository for security updates
2. Implement parameterized queries for all database interactions
3. Apply input validation for 'itemid' parameter
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting the 'itemid' parameter
Input Validation Filter
allImplement server-side validation to ensure 'itemid' contains only expected characters
🧯 If You Can't Patch
- Isolate the FeMiner wms instance behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test 'itemid' parameter with SQL injection payloads like: itemid=1' OR '1'='1Check Version:
Check application configuration or about page for version informationVerify Fix Applied:
Verify that SQL injection payloads no longer return database information or cause errors📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed parameter validation attempts
Network Indicators:
- HTTP requests containing SQL keywords in 'itemid' parameter
- Abnormal database query patterns
SIEM Query:
http.uri contains "itemid" AND (http.uri contains "UNION" OR http.uri contains "SELECT" OR http.uri contains "OR '1'='1")