Fraud Orders
Helps you analyze orders placed on your store and evaluate their risk level. It combines data from visitor IP, Shopify Fraud Analysis, and MIDA detection to give you a clear view of risky transactions
1. Orders Table
Columns include:
Last Access → When the order was placed.
Order ID → Unique order identifier.
Order Type → Risk level: None, Low, Medium, High.
Visitor IP → IP used to place the order.
Total Price → Order value.
IP Score → Reputation score for the IP.
Detection → Traffic type (Proxy, VPN, etc.).
Order Score → Fraud score calculated by system.
Action → Apply enforcement to visitor IP.
2. Order Risk Types
None → No risk detected.
Low risk → Likely safe.
Medium risk → Some suspicious signals, review before fulfillment.
High risk → Strong indicators of fraud, do not fulfill without verification.
3. Detection Types
Same as in Visitors:
Clean → No suspicious signals.
Proxy → Using anonymous proxy.
VPN → Browsing through a VPN.
Compromised → Known compromised IP.
Scraper → Automated scraping detected.
Tor → Connected via TOR anonymity network.
Hosting → IP belongs to hosting/cloud provider.
4. Filters & Search
Filter by Date Range, Total Price, Detection, IP Score.
Search by IP or Order ID.
5. Actions (IP Blocking)
From the Action column, you can:
Block Visitor IP → Adds the IP that placed the order to your Blacklist immediately. Future visits from this IP will be denied or redirected according to your rules.
This prevents repeat fraud attempts from the same source.
👉 Currently, Actions are limited to blocking visitor IPs. Planned features will include auto-cancel high risk orders and conditional checkout blocking.
Best Practices
Always review High Risk orders → block the visitor IP if fraudulent.
Place Medium Risk orders on hold for manual verification.
Keep exporting fraud order logs for compliance and deeper analysis.
If you have any questions, feel free to contact us via Crisp Chat or email us at [email protected].
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