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US23-Heiding-Devicing-and-Detecting-Phishing-wp.pdf

ID: 4e236fa2-2380-4be6-ac91-ee2a093a4556

STIX ID: report--4e236fa2-2380-4be6-ac91-ee2a093a4556

Threat Score

45/100

Uploaded: 2026-08-11

Published Date: 2023-08-05

Last Modified Date: 2023-08-05

Created by: dogesec

TLP:CLEAR
ADMIRALTY:B2
PAP:CLEAR
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This paper reports a controlled experiment comparing phishing emails created by LLMs (GPT-4), a human-designed V-Triad model, a combined LLM+V-Triad approach, and a control set; it measures click-through rates (n=112) showing much higher success for V-Triad emails (≈65–79%) versus GPT-only (≈30–45%) and demonstrates that LLMs can both generate convincing phishing and assist in detecting phishing under some prompts, concluding that LLMs lower the bar for scalable, high-quality phishing while also offering potential detection/mitigation utility.