Security researchers have used the GPT-3 natural language generation model and the ChatGPT chatbot based on it to show how such deep learning models can be used to make social engineering attacks such as phishing or business email compromise scams harder to detect and easier to pull off.
The study, by researchers with security firm WithSecure, demonstrates that not only can attackers generate unique variations of the same phishing lure with grammatically correct and human-like written text, but they can build entire email chains to make their emails more convincing and can even generate messages using the writing style of real people based on provided samples of their communications.
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