CVE-2025-8773
📋 TL;DR
This critical SQL injection vulnerability in Dinstar Monitoring Platform allows attackers to execute arbitrary SQL commands by manipulating the userBean.loginName parameter. Remote attackers can potentially access, modify, or delete database contents. All users of Dinstar Monitoring Platform 甘肃省危险品库监控平台 1.0 are affected.
💻 Affected Systems
- Dinstar Monitoring Platform 甘肃省危险品库监控平台
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, authentication bypass, and potential remote code execution via database functions.
Likely Case
Unauthorized data access, credential theft, and potential privilege escalation within the monitoring platform.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily weaponizable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available - vendor did not respond to disclosure
Restart Required: No
Instructions:
No official patch available. Consider implementing workarounds or replacing the software.
🔧 Temporary Workarounds
Web Application Firewall (WAF) Rules
allImplement WAF rules to block SQL injection patterns targeting the vulnerable endpoint
# Example WAF rule to block suspicious patterns in loginName parameter
# Block patterns containing SQL keywords: SELECT, UNION, INSERT, UPDATE, DELETE, DROP, OR, AND
Network Access Control
linuxRestrict access to the vulnerable endpoint using network segmentation or firewall rules
# Example firewall rule to restrict access to /itc/* paths
iptables -A INPUT -p tcp --dport 80 -m string --string "/itc/" --algo bm -j DROP
🧯 If You Can't Patch
- Isolate the monitoring platform in a separate network segment with strict access controls
- Implement database-level protections: use least privilege database accounts, enable SQL injection prevention features
🔍 How to Verify
Check if Vulnerable:
Test the endpoint /itc/${appPath}/login_getPasswordErrorNum.action with SQL injection payloads in the userBean.loginName parameterCheck Version:
Check application version through web interface or configuration files - specific command unknownVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and that proper input validation is implemented📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL patterns in usernames
- Requests to /itc/*/login_getPasswordErrorNum.action with suspicious parameters
Network Indicators:
- HTTP requests containing SQL keywords in URL parameters
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND (url="*login_getPasswordErrorNum.action*" AND (param="*SELECT*" OR param="*UNION*" OR param="*OR*"))