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The emergence of Large Language Models (LLMs), including ChatGPT, is having a significant impact on a wide range of fields.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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Bitsquatting: exploiting bit-flips for fun, or profit?. In 22nd International World Wide Web Conference, WWW ’13, Rio de Janeiro, Brazil, May 13-17, 2013 , Daniel Schwabe, Virgílio A. F. Almeida, Hartmut Glaser, Ricardo Baeza-Yates, and Sue B. Moon (Eds.). 989–998
Nick Nikiforakis, Steven Van Acker, Wannes Meert, Lieven Desmet, Frank Piessens, and Wouter Joosen. 2013 · 2013
Earlier work this paper cites.
Seven Months’ Worth of Mistakes: A Longitudinal Study of Typosquatting Abuse. In 22nd Annual Network and Distributed System Security Symposium, NDSS 2015, San Diego, California, USA, February 8-11, 2015 . The Internet Society
Pieter Agten, Wouter Joosen, Frank Piessens, and Nick Nikiforakis. 2015 · 2015
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Towards Measuring and Mitigating Social Engineering Software Download Attacks. In 25th USENIX Security Symposium, USENIX Security 16 . 773–789
Terry Nelms, Roberto Perdisci, Manos Antonakakis, and Mustaque Ahamad. 2016 · 2016
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Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30 - November 03, 2017 , Bhavani Thuraisingham, David Evans, Tal Malkin, and Dongyan Xu (Eds.). ACM, 569–586
Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, and Manos Antonakakis. 2017 · 2017
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Dial One for Scam: A Large-Scale Analysis of Technical Support Scams. In 24th Annual Network and Distributed System Security Symposium, NDSS
Najmeh Miramirkhani, Oleksii Starov, and Nick Nikiforakis. 2017 · 2017
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Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen Credentials. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30 - November 03, 2017 , Bhavani Thuraisingham, David Evans, Tal Malkin, and Dongyan Xu (Eds.). ACM, 1421–1434
Kurt Thomas, Frank Li, Ali Zand, Jacob Barrett, Juri Ranieri, Luca Invernizzi, Yarik Markov, Oxana Comanescu, Vijay Eranti, Angelika Moscicki, Daniel Margolis, Vern Paxson, and Elie Bursztein. 2017 · 2017
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Surveylance: Automatically Detecting Online Survey Scams. In 2018 IEEE Symposium on Security and Privacy, SP 2018, Proceedings, 21-23 May 2018, San Francisco, California, USA . IEEE Computer Society, 70–86
Amin Kharraz, William K. Robertson, and Engin Kirda. 2018 · 2018
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Improving Language Understanding by Generative Pre-Training
Alec Radford and Karthik Narasimhan. 2018 · 2018
Earlier work this paper cites.
Needle in a Haystack: Tracking Down Elite Phishing Domains in the Wild. In Proceedings of the Internet Measurement Conference 2018, IMC 2018, Boston, MA, USA, October 31 - November 02, 2018 . ACM, 429–442
Ke Tian, Steve T. K. Jan, Hang Hu, Danfeng Yao, and Gang Wang. 2018 · 2018
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Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation. In 26th Annual Network and Distributed System Security Symposium, NDSS 2019, San Diego, California, USA, February 24-27, 2019 . The Internet Society
Victor Le Pochat, Tom van Goethem, Samaneh Tajalizadehkhoob, Maciej Korczynski, and Wouter Joosen. 2019 · 2019
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What You See is NOT What You Get: Discovering and Tracking Social Engineering Attack Campaigns. In Proceedings of the Internet Measurement Conference, IMC 2019 . 308–321
Phani Vadrevu and Roberto Perdisci. 2019 · 2019
Earlier work this paper cites.
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
Peng Yang, Guangzhen Zhao, and Pengjie Zeng. 2019 · 2019
Earlier work this paper cites.
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. In CCS ’20: 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, November 9-13, 2020 , Jay Ligatti, Xinming Ou, Jonathan Katz, and Giovanni Vigna (Eds.). ACM, 1681–1698
Sahar Abdelnabi, Katharina Krombholz, and Mario Fritz. 2020 · 2020
Earlier work this paper cites.
To Get Lost is to Learn the Way: Automatically Collecting Multi-step Social Engineering Attacks on the Web. In ASIA CCS ’20: The 15th ACM Asia Conference on Computer and Communications Security, Taipei, Taiwan, October 5-9, 2020 , Hung-Min Sun, Shiuh-Pyng Shieh, Guofei Gu, and Giuseppe Ateniese (Eds.). ACM, 394–408
Takashi Koide, Daiki Chiba, and Mitsuaki Akiyama. 2020b · 2020
Earlier work this paper cites.
It Never Rains but It Pours: Analyzing and Detecting Fake Removal Information Advertisement Sites. In The 17th Conference on Detection of Intrusions and Malware & Vulnerability Assessment, DIMVA 2020 . 171–191
Takashi Koide, Daiki Chiba, Mitsuaki Akiyama, Katsunari Yoshioka, and Tsutomu Matsumoto. 2020a · 2020
Earlier work this paper cites.
Be the Phisher - Understanding Users’ Perception of Malicious Domains. In ASIA CCS ’20: The 15th ACM Asia Conference on Computer and Communications Security, Taipei, Taiwan, October 5-9, 2020 , Hung-Min Sun, Shiuh-Pyng Shieh, Guofei Gu, and Giuseppe Ateniese (Eds.). ACM, 263–276
Florian Quinkert, Martin Degeling, Jim Blythe, and Thorsten Holz. 2020 · 2020
Earlier work this paper cites.
Catching Phishers By Their Bait: Investigating the Dutch Phishing Landscape through Phishing Kit Detection. In 30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021 , Michael Bailey and Rachel Greenstadt (Eds.). USENIX Association, 3757–3774
Hugo L. J. Bijmans, Tim M. Booij, Anneke Schwedersky, Aria Nedgabat, and Rolf van Wegberg. 2021 · 2021
Cited alongside, same era.
Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs. In ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021 , Delphine Reinhardt and Tilo Müller (Eds.). ACM, 59:1–59:12
Arthur Drichel, Vincent Drury, Justus von Brandt, and Ulrike Meyer. 2021 · 2021
Cited alongside, same era.
Security Analysis on Practices of Certificate Authorities in the HTTPS Phishing Ecosystem. In ASIA CCS ’21: ACM Asia Conference on Computer and Communications Security, Virtual Event, Hong Kong, June 7-11, 2021 , Jiannong Cao, Man Ho Au, Zhiqiang Lin, and Moti Yung (Eds.). ACM, 407–420
Doowon Kim, Haehyun Cho, Yonghwi Kwon, Adam Doupé, Sooel Son, Gail-Joon Ahn, and Tudor Dumitras. 2021 · 2021
Cited alongside, same era.
Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection. In 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023 , Joseph A. Calandrino and Carmela Troncoso (Eds.). USENIX Association, 4139–4156
Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, and Jin Song Dong. 2023 · 2023
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LLM-based Attack Scenarios Generator with IT Asset Management and Vulnerability Information. In 2023 6th International Conference on Signal Processing and Information Security (ICSPIS) . 99–103
Takeru Naito, Rei Watanabe, and Takuho Mitsunaga. 2023 · 2023
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Canary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts. In Proceedings of the 18th International Conference on Availability, Reliability and Security, ARES 2023, Benevento, Italy, 29 August 2023- 1 September 2023 . ACM, 6:1–6:12
Hiroki Nakano, Daiki Chiba, Takashi Koide, Naoki Fukushi, Takeshi Yagi, Takeo Hariu, Katsunari Yoshioka, and Tsutomu Matsumoto. 2023 · 2023
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Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. In 30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021 , Michael Bailey and Rachel Greenstadt (Eds.). USENIX Association, 3793–3810
Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, and Jin Song Dong. 2021 · 2021
Cited alongside, same era.
Where are you taking me?Understanding Abusive Traffic Distribution Systems. In WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021 , Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 3613–3624
Janos Szurdi, Meng Luo, Brian Kondracki, Nick Nikiforakis, and Nicolas Christin. 2021 · 2021
Cited alongside, same era.
Large Language Models are Zero-Shot Reasoners. In NeurIPS
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Cited alongside, same era.
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach. In 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12, 2022 , Kevin R. B. Butler and Kurt Thomas (Eds.). USENIX Association, 1633–1650
Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, and Jin Song Dong. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback. In NeurIPS
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Cited alongside, same era.
Ignore Previous Prompt: Attack Techniques For Language Models
Fábio Perez and Ian Ribeiro. 2022 · 2022
Cited alongside, same era.
Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, 2022 , Heng Yin, Angelos Stavrou, Cas Cremers, and Elaine Shi (Eds.). ACM, 2751–2764
Siyuan Tang, Xianghang Mi, Ying Li, XiaoFeng Wang, and Kai Chen. 2022 · 2022
Cited alongside, same era.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In NeurIPS
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
VirusTotal Code Insight
2024 · 2023
Cited alongside, same era.
OpenAI. 2023 · 2023
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Generating Phishing Attacks using ChatGPT
Sayak Saha Roy, Krishna Vamsi Naragam, and Shirin Nilizadeh. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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TRIDENT: Towards Detecting and Mitigating Web-based Social Engineering Attacks. In 32st USENIX Security Symposium, USENIX Security 2023, 2023 . USENIX Association, 1681–1698
Zheng Yang, Joey Allen, Matthew Landen, Roberto Perdisci, and Wenke Lee. 2023 · 2023
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Chrome DevTools Protocol
2024 · 2024
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GitHub - elceef/dnstwist
2024 · 2024
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Introducing ChatGPT
2024 · 2024
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Investigating ChatGPT phishing detection capabilities | Securelist
2024 · 2024
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Mimino666/langdetect: Port of Google’s language-detection library to Python
2024 · 2024
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OpenPhish
2024 · 2024
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PhishTank
2024 · 2024
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Gemini - Google DeepMind
Google DeepMind. 2024 · 2024
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Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
Zilong Lin, Jian Cui, Xiaojing Liao, and XiaoFeng Wang. 2024 · 2024
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GPT-4V(ision) System Card
OpenAI. 2024 · 2024
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