Online Security

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A new research paper demonstrates that large language models can identify real identities behind anonymous online usernames with high accuracy. The method, costing as little as $4 per person, analyzes posts for clues and cross-references them across the internet. Researchers from ETH Zurich, Anthropic, and MATS warn of reduced online privacy.

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A new study reveals that weak password rules on major websites are exposing millions of users to risks. Platforms managing sensitive information often fail to enforce strong passwords, contributing to outdated and dangerous online habits worldwide.

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