Abstract: In some aspects, a computing system can detect synthetic identities based on attributes associated with online entities. The computing system can generate entity links between primary entity objects and a secondary entity object. The secondary entity object identifies a target consumer as a secondary entity for accounts identified by the primary entity objects. Attributes of the secondary entity object and attributes of the primary entity objects can be calculated and compared to determine an inconsistency between a combination of a name attribute value and an address attribute value of the secondary entity object as compared to the primary entity objects. A fraud warning indicating that the target consumer is likely to be a synthetic identity can be generated based on the inconsistency and other attributes of the target consumer, such as an inquiries attribute, a terminations attribute, a duration attribute, and so on.

Abstract: In some aspects, a computing system can detect synthetic identities based on attributes associated with online entities. The computing system can generate entity links between primary entity objects and a secondary entity object. The secondary entity object identifies a target consumer as a secondary entity for accounts identified by the primary entity objects. Attributes of the secondary entity object and attributes of the primary entity objects can be calculated and compared to determine an inconsistency between a combination of a name attribute value and an address attribute value of the secondary entity object as compared to the primary entity objects. A fraud warning indicating that the target consumer is likely to be a synthetic identity can be generated based on the inconsistency and other attributes of the target consumer, such as an inquiries attribute, a terminations attribute, a duration attribute, and so on.