How Hackers Use A.I. to Trick You Into Clicking Sketchy Links

Twitter users might need to be more careful about the links they’re clicking on. ZeroFox’s Philip Tully and John Seymour revealed at the Black Hat USA 2016 hacker convention on August 4 that they can use machine learning (i.e. artificial intelligence) to make Twitter users open links to malicious websites with a success rate of between 30 percent and 66 percent. The duo created SNAP_R, a “recurrent neural network that learns to tweet phishing posts targeting specific users,” to prove that artificial intelligence could be used to aid in “spear phishing” attempts. Spear phishing is a direct attempt to phish the user into clicking a bad link, as opposed to normal phishing, which casts a wide net across many users (like in chain or spam emails that ask for login…


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