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Merchant Account Takeover Features
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Merchant Account Takeover Features

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Questions and Answers

Which of the following is an example of real-time feature for detecting merchant account takeover fraud?

  • Historical record of account setting changes
  • Immediate transaction details (value, location, type of goods or services) (correct)
  • Historical transaction patterns
  • Changes in the frequency of transactions
  • What type of behavior is typically associated with batch features for merchant account takeover fraud detection?

  • Unusual IP addresses or devices accessing the account
  • Sudden increase in transaction frequency
  • Historical transaction patterns (correct)
  • Sudden increase in refunds or chargebacks
  • Which feature is more likely to be considered as a real-time feature for detecting merchant account takeover fraud?

  • Frequent changes in account settings or details
  • Unusual IP addresses or devices accessing the account
  • Changes in the geographical location of transactions
  • Immediate transaction details (value, location, type of goods or services) (correct)
  • What is an example of non-transactional behavior that might indicate merchant account takeover fraud?

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    Study Notes

    Merchant Account Takeover Fraud Detection

    • IP address geolocation mismatch is an example of a real-time feature for detecting merchant account takeover fraud
    • Batch features for merchant account takeover fraud detection are typically associated with periodic behavior, such as daily or weekly login trends
    • A feature that tracks sudden changes in login locations or devices is more likely to be considered a real-time feature for detecting merchant account takeover fraud
    • An example of non-transactional behavior that might indicate merchant account takeover fraud is a merchant accessing their account from a new device or location

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    Description

    Test your knowledge of the features of merchant account takeover, including transactional and non-transactional behaviors such as unusual transaction patterns, changes in account settings, and multiple failed login attempts.

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