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author:

Liu, M. (Liu, M..) [1] | Jin, Z. (Jin, Z..) [2] | Yang, J. (Yang, J..) [3] | Liu, B. (Liu, B..) [4] | Duan, H. (Duan, H..) [5] | Liu, Y. (Liu, Y..) [6] | Liu, X. (Liu, X..) [7] | Tang, S. (Tang, S..) [8]

Indexed by:

Scopus

Abstract:

Since 2022, ChatGPT has been a big breakthrough in technology, creating lots of discussions online. It has had big effects in different areas, but in cybersecurity, it is both good and bad. There has been a lot of misuse, especially with squatting domains. Our research aims to understand this misuse and the potential threats it poses. We develop a novel method that looks at historical Passive DNS (PDNS) data. Based on the two-stage identification, our method can efficiently and accurately collect ChatGPT-related squatting domains. In the end, we found over 1.3 million ChatGPT-related squatting domains, part of which were shared with the security community. Our findings show that these squatting domains are increasing quickly. This is the case whether the keywords related to ChatG PT are registered with the domain registrar or set up on sub domains. Even though the number of domains is increasing, only 5.3 % set up meaningful content on their websites. After digging into their web contents, we found that these web sites show various signs of misuse, such as promotion on illegal underground websites and emerging fraudulent activities related to dialogue features. The security community is not fully aware of these threats yet. We are the first to conduct a large-scale quantitative analysis of ChatGPT-related abusive behavior. We believe that our work unveils the abuse ecosystem surrounding ChatGPT-related squatting domains. We hope to underscore the urgent need for increased attention and protective measures against ChatGPT-related domain abuse.  © 2024 IEEE.

Keyword:

ChatGPT Cybercrime Domain abuse

Community:

  • [ 1 ] [Liu M.]China TTsinghua University, Zhongguancun Laboratory, China
  • [ 2 ] [Jin Z.]Fuzhou University, China
  • [ 3 ] [Yang J.]Fuzhou University, China
  • [ 4 ] [Liu B.]Fuzhou University, China
  • [ 5 ] [Duan H.]China TTsinghua University, Zhongguancun Laboratory, China
  • [ 6 ] [Duan H.]Fuzhou University, China
  • [ 7 ] [Liu Y.]China TTsinghua University, Zhongguancun Laboratory, China
  • [ 8 ] [Liu Y.]Fuzhou University, China
  • [ 9 ] [Liu X.]Fuzhou University, China
  • [ 10 ] [Tang S.]QI-ANXIN Technology Research Institute, China

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Year: 2024

Page: 507-521

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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