CVE-2024-25248
📋 TL;DR
This SQL injection vulnerability in Niushop B2B2C V5 allows attackers to execute arbitrary SQL commands through the order_id parameter in the orderGoodsDelivery() function. Attackers can potentially steal sensitive data, modify database contents, or gain unauthorized access. All systems running the vulnerable version of Niushop B2B2C are affected.
💻 Affected Systems
- Niushop B2B2C
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, privilege escalation to admin, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized access to sensitive order data, customer information, and potential modification of delivery statuses or order details.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via order_id parameter is straightforward to exploit with basic SQL knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
Check Niushop official channels for security updates. If available, apply the patch immediately.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation for the order_id parameter to only accept expected formats (e.g., numeric values).
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
🧯 If You Can't Patch
- Implement parameterized queries or prepared statements in the orderGoodsDelivery() function.
- Restrict database user permissions to minimum required for the application functionality.
🔍 How to Verify
Check if Vulnerable:
Test the orderGoodsDelivery() endpoint with SQL injection payloads in the order_id parameter (e.g., ' OR '1'='1).
Check Version:
Check Niushop version in admin panel or configuration files.
Verify Fix Applied:
Verify that SQL injection payloads no longer execute and return appropriate error messages or are blocked.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries from application user
Network Indicators:
- HTTP requests with SQL keywords in order_id parameter
- Abnormal response times from database queries
SIEM Query:
source="web_logs" AND (order_id="*' OR*" OR order_id="*;--*" OR order_id="*UNION*" OR order_id="*SELECT*" OR order_id="*INSERT*" OR order_id="*UPDATE*")