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Credit Card Detection Fraud Systems
How Credit Card Detection Fraud Systems Work-band Calculate Chances Of Credit Card
Fraud Online And Make Sure You Bypass Them For 98% Success in Carding ,
Anti-fraud systems working in all online shops which accept credit card was added "Credit Card Fraud
Detection service"(Further CCFDs).
It's task is to percent of possibility of fraud , It counts as named fraud score ( FS ) based on main
factors of legity . For example if FS higher than 2,5 it's advised to manager to hold order or claim a call or
ask for ID card or same this ,
Factors of fraud:
1- Geographic Source -IP, A country which IP belongs to and a country you're entering in the shop must be the same
2- E-mail Domain , they look provider of your e-mail ( If it's free email provider like hotmail.com or like this)
3- Anonymous Proxy , if IP of customer in black list.
4 -High Risk Country , for example Russia, Ukrain, Moldova, Belorussia, Columbia, Egypt, Indonesia,
Livan, Macedonia ...
5- Distance , distance between IP location and shipping address.
6- Bin Number Match , country of bank emited the card and country of IP (check by BIN).
7- Carder Email , if entered e-mail is in database of famous carders.
8- Open Proxy , check IP on public proxy
9- Spam , checking IP in spam blacklist
And that's the formula for counting FS:
FS =
Free Email = 2.5
Country Doesn't Match = 2.5
High Risk Country = 5
Min (distance,5000) /MaxEarth,20037 =10
BIN Doesn't Match = 2
Carder Email =5
Proxy Score = 2.5
https://bitorder.ru/login/
How Credit Card Detection Fraud Systems Work-band Calculate Chances Of Credit Card
Fraud Online And Make Sure You Bypass Them For 98% Success in Carding ,
Anti-fraud systems working in all online shops which accept credit card was added "Credit Card Fraud
Detection service"(Further CCFDs).
It's task is to percent of possibility of fraud , It counts as named fraud score ( FS ) based on main
factors of legity . For example if FS higher than 2,5 it's advised to manager to hold order or claim a call or
ask for ID card or same this ,
Factors of fraud:
1- Geographic Source -IP, A country which IP belongs to and a country you're entering in the shop must be the same
2- E-mail Domain , they look provider of your e-mail ( If it's free email provider like hotmail.com or like this)
3- Anonymous Proxy , if IP of customer in black list.
4 -High Risk Country , for example Russia, Ukrain, Moldova, Belorussia, Columbia, Egypt, Indonesia,
Livan, Macedonia ...
5- Distance , distance between IP location and shipping address.
6- Bin Number Match , country of bank emited the card and country of IP (check by BIN).
7- Carder Email , if entered e-mail is in database of famous carders.
8- Open Proxy , check IP on public proxy
9- Spam , checking IP in spam blacklist
And that's the formula for counting FS:
FS =
Free Email = 2.5
Country Doesn't Match = 2.5
High Risk Country = 5
Min (distance,5000) /MaxEarth,20037 =10
BIN Doesn't Match = 2
Carder Email =5
Proxy Score = 2.5
https://bitorder.ru/login/