Emailage is a proven fraud prevention solution that uses email intelligence as a core risk identifier. It assesses risks by evaluating email address metadata points such as domain details, email details, risk indicators and, when available, other personally identifiable information (PII).
Email Domain Exists
Email Address Exists
Email Address Validated
Email Domain is Trusted
Email Address is Trusted
Anonymous Proxy Check
IP Address Country Matches Candidate Address
IP Address is Trusted
TOR Network IP Check
Checks if the IP is from a risky country
Checks if the provided phone number is a valid format
Check to ensure full name provided matches the full name on the registered email
Check to ensure full name provided matches the full name on the registered phone
Example Return Value
The category type from the company in which the email belongs.
The name of the company in which the email belongs.
Indicates if the domain is corporate.
The country name of the domain in which the email belongs.
The status of the email queried.
Proprietary algorithm that calculates the fraud risk associated with an email address. Return a number from 0 to 100. The lower the number the lower the risk associated with the information given.
Number of days since the email was created.
The creation date of the email, in UTC format. If the age cannot be determined, this field will be null.
Emailage provides 6 default and recommended Risk Band IDs. These IDs are based on score ranges to allow easier review and automated processing.
Fraud Score 601 to 799
A calculated value representing Emailage’s confidence level that the input email and address are associated.
A calculated value representing Emailage's confidence level that the input email and IP are associated.
This field provides a more descriptive EAScore. It contains the score and the score level.
050 Very Low
This field provides the type of fraud marked for the queried email. If multiple companies within our network marked the email as fraud, we provide the fraud type selected by the last company.
This field will be empty if the email has never been marked as fraud.
Identify Theft (Fraud Application)
A link to a photo of the person associated with the email address
The likelihood that the IP address given from the user is fraudulent.
This could also be risk plus reason?
An overall value calculated by using the confidence scores between different input parametes.
Total number of social media friends of the person associated with the email address on social media sites.
If an email was marked as fraud or good, this field provides the industry of the company that provided the marking.
This field will be empty if the email has never been marked as fraud or good.
Hotel / Hospitality
Number of times the email address was queried in the last 7 days
Updated 5 months ago