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Phishing messages typically get 5-10% response rates, but a new system has boosted its rate to 40%.聽John Seymour and Phil Tully, two聽data scientists from the security company聽ZeroFOX, presented their聽system SNAP_R聽at Black Hat, a Las Vegas conference on cyber-security, on August 4. SNAP_R uses a deep neural net to聽study a person's past tweets and then mimics that person's writing style using聽a Markov model, generating聽a phishing tweet. So far, there is no reason to think that criminals are using a similar system, but Seymour and Tully's work show how it might be done. You can read more in from MIT Technology Review or Seymour and Tully's .