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Computer Science > Cryptography and Security

arXiv:2309.10463 (cs)
[Submitted on 19 Sep 2023]

Title:Exploring the Dark Side of AI: Advanced Phishing Attack Design and Deployment Using ChatGPT

Authors:Nils Begou, Jeremy Vinoy, Andrzej Duda, Maciej Korczynski
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Abstract:This paper explores the possibility of using ChatGPT to develop advanced phishing attacks and automate their large-scale deployment. We make ChatGPT generate the following parts of a phishing attack: i) cloning a targeted website, ii) integrating code for stealing credentials, iii) obfuscating code, iv) automating website deployment on a hosting provider, v) registering a phishing domain name, and vi) integrating the website with a reverse proxy. The initial assessment of the automatically generated phishing kits highlights their rapid generation and deployment process as well as the close resemblance of the resulting pages to the target website. More broadly, we demonstrate that recent advances in AI underscore the potential risks of its misuse in phishing attacks, which can lead to their increased prevalence and severity. This highlights the necessity for enhanced countermeasures within AI systems.
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)
Cite as: arXiv:2309.10463 [cs.CR]
  (or arXiv:2309.10463v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2309.10463
Journal reference: Proceedings of the IEEE Conference on Communications and Network Security (CNS), 2023

Submission history

From: Maciej Korczynski [view email]
[v1] Tue, 19 Sep 2023 09:31:39 UTC (261 KB)
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