Class Reason (1.21.2) 

Reason(value)

Enum that represents potential reasons for annotating an assessment.

Enums
Name Description
REASON_UNSPECIFIED Default unspecified reason.
CHARGEBACK 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 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 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 Indicates that the completed payment transaction was refunded by the seller.
REFUND_FRAUD Indicates that the completed payment transaction was determined to be fraudulent by the seller, and was cancelled and refunded as a result.
TRANSACTION_ACCEPTED Indicates that the payment transaction was accepted, and the user was charged.
TRANSACTION_DECLINED Indicates that the payment transaction was declined, for example due to invalid card details.
PAYMENT_HEURISTICS 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 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 Indicates that the user passed a 2FA challenge.
FAILED_TWO_FACTOR Indicates that the user failed a 2FA challenge.
CORRECT_PASSWORD Indicates the user provided the correct password.
INCORRECT_PASSWORD Indicates the user provided an incorrect password.
SOCIAL_SPAM Indicates that the user sent unwanted and abusive messages to other users of the platform, such as spam, scams, phishing, or social engineering.