1. A method of identifying fraudulent data in a contact database, the method comprising: receiving a plurality of contact records, each of the plurality of contact records including a set of contact field values corresponding to a set of contact fields; determining, by a computing device, whether a similar content pattern exists in the plurality of contact records using at least one of the set of contact field values, wherein determining whether the similar content pattern exists in the plurality of contact records comprises: receiving a threshold value for the similar content pattern; calculating a dupes-score for at least one of the set of contact fields, the dupes-score indicating an amount of content duplication in the at least one of the set of contact fields; and determining that the similar content pattern exists when the dupes-score exceeds the threshold value for the similar content pattern; and flagging, by the computing device, the plurality of contact records when the similar content pattern is determined to exist in the plurality of contact records to verify whether the flagged contact records contain fraudulent data.