Reason(value)Enum that represents potential reasons for annotating an assessment.
Values:
REASON_UNSPECIFIED (0):
Default unspecified reason.
CHARGEBACK (1):
Indicates that the transaction had a chargeback issued with
no other details. When possible, specify the type by using
CHARGEBACK_FRAUD or CHARGEBACK_DISPUTE instead.
CHARGEBACK_FRAUD (8):
Indicates that the transaction had a
chargeback issued related to an alleged
unauthorized transaction from the cardholder's
perspective (for example, the card number was
stolen).
CHARGEBACK_DISPUTE (9):
Indicates that the transaction had a
chargeback issued related to the cardholder
having provided their card details but allegedly
not being satisfied with the purchase (for
example, misrepresentation, attempted
cancellation).
REFUND (10):
Indicates that the completed payment
transaction was refunded by the seller.
REFUND_FRAUD (11):
Indicates that the completed payment
transaction was determined to be fraudulent by
the seller, and was cancelled and refunded as a
result.
TRANSACTION_ACCEPTED (12):
Indicates that the payment transaction was
accepted, and the user was charged.
TRANSACTION_DECLINED (13):
Indicates that the payment transaction was
declined, for example due to invalid card
details.
PAYMENT_HEURISTICS (2):
Indicates the transaction associated with the
assessment is suspected of being fraudulent
based on the payment method, billing details,
shipping address or other transaction
information.
INITIATED_TWO_FACTOR (7):
Indicates that the user was served a 2FA challenge. An old
assessment with ENUM_VALUES.INITIATED_TWO_FACTOR reason
that has not been overwritten with PASSED_TWO_FACTOR is
treated as an abandoned 2FA flow. This is equivalent to
FAILED_TWO_FACTOR.
PASSED_TWO_FACTOR (3):
Indicates that the user passed a 2FA
challenge.
FAILED_TWO_FACTOR (4):
Indicates that the user failed a 2FA
challenge.
CORRECT_PASSWORD (5):
Indicates the user provided the correct
password.
INCORRECT_PASSWORD (6):
Indicates the user provided an incorrect
password.
SOCIAL_SPAM (14):
Indicates that the user sent unwanted and
abusive messages to other users of the platform,
such as spam, scams, phishing, or social
engineering.