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119 lines
3.8 KiB
Markdown
119 lines
3.8 KiB
Markdown
# Fraudo DSL
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Language for describing antifraud patterns
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Provides the ability to describe the required set of rules for characteristics
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and triggers for attempts at fraudulent actions
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#### Syntax
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![alt text](syntax.png)
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##### OPERATIONS:
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~~~~
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* count("group_field", time_in_minutes|[from_offset, to_offset], ["group_by_additional_fields"])
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* countSuccess("group_field", time_in_minutes|[from_offset, to_offset], ["group_by_additional_fields"])
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* countError("group_field", time_in_minutes|[from_offset, to_offset], "error_code", ["group_by_additional_fields"])
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* sum("group_field", time_in_minutes|[from_offset, to_offset], ["group_by_additional_fields"])
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* sumSuccess("group_field", time_in_minutes|[from_offset, to_offset], ["group_by_additional_fields"])
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* sumError(("group_field", time_in_minutes|[from_offset, to_offset], "error_code", ["group_by_additional_fields"])
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* unique(("group_field", "by_field",time_in_minutes|[from_offset, to_offset], ["group_by_additional_fields"])
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* in(("field", "first", "second", ...)
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* inWhiteList("field")
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* inBlackList("field")
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* inList("test", "email")
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* inGreyList("email")
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* like("field", "regexp_in_java_style"[1])
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* amount()
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* country() - this function can return result "unknown", you must remember it!
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~~~~
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### group_field:
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* email,
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* ip,
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* fingerprint,
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* bin,
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* shop_ip,
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* party_id,
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* card_token
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1. [regexp_in_java_style](https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html)
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### RESULTS:
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~~~~
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* accept
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* 3ds
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* decline
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* notify
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* normal
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~~~~
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### EXAMPLES:
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###### Simple:
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~~~~
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rule: 3 > 2 AND 1 = 1
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-> accept;
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~~~~
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###### Black list check:
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~~~~
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rule: inBlackList("email")
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-> notify;
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~~~~
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###### Counts check:
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~~~~
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rule: (count("ip", 1444) >= 10 OR countSuccess("email", 1444) > 5)
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AND countError("fingerprint", 1444, "error_code") > 5
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-> notify;
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~~~~
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###### Unique count emails for ip:
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~~~~
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rule: unique("email", "ip") < 4
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-> decline;
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~~~~
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###### Check country by ip:
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~~~~
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rule: country() = "RU"
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-> notify;
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~~~~
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###### Check current amount:
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~~~~
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rule: amount() < 100
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-> accept;
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~~~~
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###### Catch:
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~~~~
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rule: unique("email", "ip") < 4
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-> accept
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catch: decline;
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~~~~
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###### Combined check:
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~~~~
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rule:
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inWhiteList("email", "fingerprint", "card", "bin", "ip") -> accept; # принимаем платеж, если хотя бы один из указанных параметров находится в вайтлисте
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rule:
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inBlackList("email", "fingerprint", "card", "bin", "ip") -> decline; # отклоняем платеж, если хотя бы один из указанных параметров находится в блэклисте
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rule:
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in(countryBy("bin"), "AS", "SD", "TR", "WE", "SD", "CD", "KL", "EW", "VF", "XZ", "CD") -> decline; # эти страны блочим всегда
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rule:
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amount() > 1000 AND in(countryBy("bin"), "DS", "LA", "AS") -> decline; # лимит суммы платежа 10 баксов для
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rule:
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amount() > 1000 AND in(countryBy("bin"), "VC", "WE") -> decline;# лимит суммы платежа 10 баксов для некоторых стран
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rule:
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amount() > 10000 -> decline;# лимит суммы платежа 100 баксов для всех остальных
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rule:
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count("card", 1440) > 10 AND in (countryBy("bin"), "TR", "WE", "SD", "CD", "KL", "EW") -> decline;# этим странам 10 попыток с одной карты в сутки
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rule:
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count("card", 1440) > 5 -> decline;# остальным странам 5 попыток с одной карты в сутки
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rule:
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unique("card", "email", 1440) > 3 -> decline; # лимит 3 уникальных карты на емэйл за сутки
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rule:
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unique("card", "fingerprint", 1440) > 3 -> decline; # лимит 3 уникальных карты на девайс за сутки
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~~~~
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