Fraudsters’ tactics will continue to evolve, and AI-produced fake IDs will only get harder and harder to spot as the technology advances. However, businesses are not entirely helpless against these efforts.
When checking scans or submitted images of ID documents manually, there are a couple of tell-tale signs that an ID is fake, such as a missing or distorted hologram, missing state seals on driver’s licenses, a lack of machine scannable elements, and irregular or incomplete text. Comparing a legitimate ID against a suspected counterfeit should provide additional confirmation that the document is fake.
Certain businesses rely on identity verification systems to process the large volume of new account sign-ups they receive. They can also implement a number of checks and balances to combat fake IDs, even if they aren’t checking each one by hand.
One option is to not allow photo uploads of ID documentation when verifying customer identities. Instead, they should require new users to snap a photo of the document in real time. Since services like OnlyFake provide images of bogus documents, not physical copies, fraudsters would be unable to pass through ID verification with just an image.
Another layer of security is to implement liveness detection tests, requiring users to take a live photo of their face during account sign-up so it can be compared against the provided ID for validity.
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