On a curated 100-email test set, three of four evaluated LLMs detected phishing intent from email text with 88 to 97 percent accuracy and categorized attacks into link, attachment, or service types.
Available: https://attack.mitre.org/techniques/T1566/
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LLM-Powered Intent-Based Categorization of Phishing Emails
On a curated 100-email test set, three of four evaluated LLMs detected phishing intent from email text with 88 to 97 percent accuracy and categorized attacks into link, attachment, or service types.