A word-level LSTM trained on a mixture of legitimate and phishing emails can produce short, partially coherent phishing-style texts, but the paper's evidence that these texts defeat statistical detectors is weak and ambiguous.
With the immense boom in usage and adaptation of the Internet, staggering numbers of individuals and organizations have fallen prey to targeted attacks like phishing and pharming
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Automated email Generation for Targeted Attacks using Natural Language
A word-level LSTM trained on a mixture of legitimate and phishing emails can produce short, partially coherent phishing-style texts, but the paper's evidence that these texts defeat statistical detectors is weak and ambiguous.