214
submitted 9 months ago by Squire1039@lemm.ee to c/technology@lemmy.world

Summary

OnlyFake, an underground website, employs neural networks to swiftly produce convincing fake IDs for just $15, potentially facilitating bank fraud and money laundering. Verified by 404 Media, the service allows users to input desired information and a passport photo, generating realistic IDs, even mimicking signatures. With its purported use of neural networks and generators, OnlyFake claims to churn out up to 20,000 documents daily, mainly for US identities. The IDs, backed by real-looking backgrounds, can pass online verification, posing challenges to platforms like OKX cryptocurrency exchange. While some companies, such as Jumio and Coinbase, aim to counter such fraud, OnlyFake's AI-powered IDs present a formidable challenge. Wick, the service's owner, aims to expand its capabilities, potentially including face and selfie generation. Discussions within OnlyFake's community suggest a pursuit of solutions for video verification challenges. Senator Ron Wyden warns of the growing threat posed by AI-based tools, urging the adoption of secure authentication methods. This revelation comes amidst a broader trend of AI-driven fraud, exemplified by AI-generated voices and images, highlighting the need for robust cybersecurity measures.

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[-] ExLisper@linux.community 14 points 9 months ago

In Spain you just go to an office, show your ID and they give you a personal certificate you import into your browser. You can use the same cert on multiple computers and have multiple certs in the same browser. When you visit government pages it asks you which cert you want to use and voilà, you're authenticated. You can also use the same cert to sign files and it's a legally valid signature. It uses common standards and works on Linux.

[-] LemmyRefugee@lemmy.world 7 points 9 months ago

Or if you buy a card reader you can use your ID (DNI) as your certificate because it has one saved inside

this post was submitted on 05 Feb 2024
214 points (97.8% liked)

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