Viewing Fraud Results
On every order detail page, a Fraud Analysis Card shows the assessment result.
Note
Tenant Admin → Orders → click any order → Fraud Analysis card
Order States
| State | Meaning |
|---|---|
| Pending | Assessment has not run yet (for example, the module was enabled after the order was placed) |
| Safe | Risk score is below your threshold — order looks legitimate |
| High Risk | Risk score exceeded your threshold — order needs review |
Fraud Analysis Card Elements
| Element | Description |
|---|---|
| Trust Score gauge | Circular gauge showing 0–100 (Trust Score = 100 − Risk Score) |
| Verdict | "Safe" (green) or "High Risk" (red) |
| Provider Name | Which fraud provider assessed this order |
| Provider Region | Region classification of the provider |
| Risk Signals | List of specific reasons the score was assigned |
The card also uses a color-coded header — green (safe), amber (medium), red (high risk).
Courier-Specific Cards (BDC courier, FraudDB)
For Bangladesh courier-based providers, the card also shows parcel statistics:
- Total parcels shipped to this address
- Successful delivery rate
- Return rate
This helps you make an informed decision when reviewing held orders — for example, a COD order to an address with a low delivery success rate may warrant requesting advance payment.
Held-Order Review Flow
Note
Tenant Admin → Orders → filter by status "On Hold"
For Safe Orders (Green)
- Proceed with fulfillment as normal
- No further action needed
For High Risk Orders (Red)
- Review the specific risk signals shown on the card
- Verify the billing and shipping information manually
- Consider contacting the customer to confirm the order
- Check if the phone number or email has been flagged before
- For COD orders with low delivery success rates, consider requesting advance payment
- If legitimate: change the order status to Processing to approve it
- If fraudulent: cancel or keep the order on hold per your store policy
For Pending Orders
- The fraud module was likely enabled after this order was placed
- No assessment is available for this order
- Future orders will be assessed automatically
How Risk Signals Are Produced
The exact signals depend on the provider, but commonly include:
- IP address reputation — Is the IP linked to fraud, VPNs, or proxies?
- Geolocation mismatch — Does the billing address match the IP location?
- Velocity checks — Is the same IP/email placing many orders rapidly?
- Email risk — Is the email domain disposable? Is it in a fraud database?
- Phone validation — Is the phone number valid? Is it associated with fraud?
- Device fingerprint — Is this device associated with chargebacks?
- Delivery history — For BD providers: does this address have high return rates?
See Risk Score Reference for score bands and the fail-open primary-to-fallback-to-safe flow.
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