Generating Phishing Attacks using ChatGPT
May 09, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Sayak Saha Roy, Krishna Vamsi Naragam, Shirin Nilizadeh
arXiv ID
2305.05133
Category
cs.CR: Cryptography & Security
Cross-listed
cs.CL
Citations
42
Venue
arXiv.org
Last Checked
6 months ago
Abstract
The ability of ChatGPT to generate human-like responses and understand context has made it a popular tool for conversational agents, content creation, data analysis, and research and innovation. However, its effectiveness and ease of accessibility makes it a prime target for generating malicious content, such as phishing attacks, that can put users at risk. In this work, we identify several malicious prompts that can be provided to ChatGPT to generate functional phishing websites. Through an iterative approach, we find that these phishing websites can be made to imitate popular brands and emulate several evasive tactics that have been known to avoid detection by anti-phishing entities. These attacks can be generated using vanilla ChatGPT without the need of any prior adversarial exploits (jailbreaking).
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