country_doesnot_match (binary value, 1 or 0)

city_doesnot_match (binary value, 1 or 0)

is_free_email (binary value, 1 or 0)

is_anonymous_proxy (binary value, 1 or 0)

fraudulent_ip (binary value, 1 or 0)

proxy_score (decimal value, from 0 to 10)

spam_score (decimal value, from 0 to 10)

CHECK_IP_DISTANCE (integer value, distance in km)

Initially, the fraud risk factor gets the "0" (zero) value.

If any of the binary parameters takes the value of "1" (true), the fraud risk factor is increased by a predefined ("know-how") value.

If the proxy_score or spam_score values exceed 4, the fraud risk factor is increased by a predefined ("know-how") value.

If the CHECK_IP_DISTANCE value exceeds the AntiFraud safe distance value, the fraud risk factor is increased by a predefined ("know-how") value.

Finally, if the calculation results exceed 10, the fraud risk factor is set to 10.

If the order total exceeds the "order total threshold," the order_limit_excess value turns "1" (true), and the fraud risk factor is multiplied by 2;

If the customer has successful orders, the completed orders value turns "1" (true), and the fraud risk factor is divided by 2;

If the customer has canceled orders, the declined_orders value turns "1" (true), and the fraud risk factor is multiplied by 1,5;

If the customer's IP address has been already used to place orders under a different user account, the foreign_ip_address value takes the value of "1" (true), and the fraud risk factor is multiplied by 2;

If the customer's billing address is considered to be a high-risk country, the is_high_risk_country value turns "1" (true), and the fraud risk factor is incremented by 7.

Finally, if the fraud risk factor value exceeds 10, it is set to 10.