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Generating Phishing Attacks using ChatGPT

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arxiv 2305.05133 v1 pith:GWYQTAUM submitted 2023-05-09 cs.CR cs.CL

classification cs.CRcs.CL
keywords chatgptphishingattackscontentgenerategeneratingmademalicious
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency

    quant-ph 2025-08 unverdicted novelty 6.0 of 10

    Relativistic motion of the reservoirs in a three-level maser is claimed to yield a generalized Carnot bound that allows efficiency above the ordinary Carnot limit.

  2. Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

    cs.CR 2025-09 conditional novelty 2.0 of 10

    A survey categorizing phishing webpage detection into URL, content, and visual approaches, with an analysis of research gaps and suggested directions.

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