Targeted Phishing Campaigns using Large Scale Language Models. (arXiv:2301.00665v1 [cs.CL])

In this research, we aim to explore the potential of natural language models
(NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails. Phishing
emails are fraudulent messages that aim to trick individuals into revealing
sensitive information or taking actions that benefit the attackers. We propose
a framework for evaluating the performance of NLMs in generating these types of
emails based on various criteria, including the quality of the generated text,
the ability to bypass spam filters, and the …

actions aim attackers campaigns emails framework fraudulent gpt gpt-3 information language language models large messages natural language phishing phishing emails research scale sensitive information