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The emergence of Large Language Models (LLMs) has heightened the threat of phishing emails by enabling the generation of highly targeted, personalized, and automated attacks.
Social engineering: The art of human hacking
Christopher Hadnagy · 2010
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Mail2tag: Augmenting email for sharing with implicit tag-based categorization
Les Nelson, Rowan Nairn, Ed H Chi, and Gregorio Convertino · 2011
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Automatically tagging email by leveraging other users’ folders
Yehuda Koren, Edo Liberty, Yoelle Maarek, and Roman Sandler · 2011
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Why do some people manage phishing e-mails better than others?
Malcolm Pattinson, Cate Jerram, Kathryn Parsons, Agata McCormac, and Marcus Butavicius · 2012
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Protecting against spear-phishing
Bimal Parmar · 2012
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Alice in warningland: a { \{ Large-Scale } \} field study of browser security warning effectiveness
Devdatta Akhawe and Adrienne Porter Felt · 2013
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Phishing detection: a literature survey
Mahmoud Khonji, Youssef Iraqi, and Andrew Jones · 2013
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The design of phishing studies: Challenges for researchers
Kathryn Parsons, Agata McCormac, Malcolm Pattinson, Marcus Butavicius, and Cate Jerram · 2015
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A review on recent phishing attacks in internet
Surendra Yadav, Brahmdutt Bohra, et al · 2015
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A literature survey on social engineering attacks: Phishing attack
Surbhi Gupta, Abhishek Singhal, and Akanksha Kapoor · 2016
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The dark side of social networking sites: Understanding phishing risks
Mario Silic and Andrea Back · 2016
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Data breaches, phishing, or malware? understanding the risks of stolen credentials
Kurt Thomas, Frank Li, Ali Zand, Jacob Barrett, Juri Ranieri, Luca Invernizzi, Yarik Markov, Oxana Comanescu, Vijay Eranti, Angelika Moscicki, et al · 2017
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Organizational theory in higher education
Kathleen Manning · 2017
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Educating and raising awareness on cyber security social engineering: A literature review
Hussain Aldawood and Geoffrey Skinner · 2018
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Creative persuasion: a study on adversarial behaviors and strategies in phishing attacks
Prashanth Rajivan and Cleotilde Gonzalez · 2018
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The weaponization of social media: Spear phishing and cyberattacks on democracy
Michael Bossetta · 2018
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Data exfiltration: A review of external attack vectors and countermeasures
Faheem Ullah, Matthew Edwards, Rajiv Ramdhany, Ruzanna Chitchyan, M Ali Babar, and Awais Rashid · 2018
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An academic review of current industrial and commercial cyber security social engineering solutions
Hussain Aldawood and Geoffrey Skinner · 2019
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Sok: a comprehensive reexamination of phishing research from the security perspective
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh Verma, and Arthur Dunbar · 2019
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Detecting lateral spear phishing attacks in organisations
Aniket Bhadane and Sunil B Mane · 2019
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Detecting and characterizing lateral phishing at scale
Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M Voelker, and David Wagner · 2019
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How persuasive is a phishing email? a phishing game for phishing awareness
Rubia Fatima, Affan Yasin, Lin Liu, and Jianmin Wang · 2019
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Phishing attacks survey: Types, vectors, and technical approaches
Rana Alabdan · 2020
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An investigation of phishing awareness and education over time: When and how to best remind users
Benjamin Reinheimer, Lukas Aldag, Peter Mayer, Mattia Mossano, Reyhan Duezguen, Bettina Lofthouse, Tatiana Von Landesberger, and Melanie Volkamer · 2020
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Categorizing human phishing difficulty: a phish scale
Michelle Steves, Kristen Greene, and Mary Theofanos · 2020
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Protecting a whale in a sea of phish
Daniel Pienta, Jason Bennett Thatcher, and Allen Johnston · 2020
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Detecting lateral movement in enterprise computer networks with unsupervised graph { \{ AI } \}
Vade secure q3 2023 phishing and malware report
Vade Secure · 2023
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Large language models can be used to effectively scale spear phishing campaigns
Julian Hazell · 2023
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How well does gpt phish people? an investigation involving cognitive biases and feedback
Megha Sharma, Kuldeep Singh, Palvi Aggarwal, and Varun Dutt · 2023
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn · 2023
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The looming threat of fake and llm-generated linkedin profiles: Challenges and opportunities for detection and prevention
Navid Ayoobi, Sadat Shahriar, and Arjun Mukherjee · 2023
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Benjamin Bowman, Craig Laprade, Yuede Ji, and H Howie Huang · 2020
Cited alongside, same era.
Employees’ behavior in phishing attacks: what individual, organizational, and technological factors matter?
Hamidreza Shahbaznezhad, Farzan Kolini, and Mona Rashidirad · 2021
Cited alongside, same era.
Phishing attacks: A recent comprehensive study and a new anatomy
Zainab Alkhalil, Chaminda Hewage, Liqaa Nawaf, and Imtiaz Khan · 2021
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Machine learning for detecting data exfiltration: A review
Bushra Sabir, Faheem Ullah, M Ali Babar, and Raj Gaire · 2021
Cited alongside, same era.
Phishing in organizations: Findings from a large-scale and long-term study
Daniele Lain, Kari Kostiainen, and Srdjan Čapkun · 2022
Cited alongside, same era.
Spear phishing: Top threats and trends report 2022
Barracuda Networks, Inc · 2022
Cited alongside, same era.
Leaky kits: The increased risk of data exposure from phishing kits
Bhaskar Tejaswi, Nayanamana Samarasinghe, Sajjad Pourali, Mohammad Mannan, and Amr Youssef · 2022
Cited alongside, same era.
Evaluating organizational phishing awareness training on an enterprise scale
Doron Hillman, Yaniv Harel, and Eran Toch · 2023
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https://huggingface.co/google/flan-t5-xl
google/flan-t5-xl · 2023
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Phishing email detection, 2023
Subhadeep Chakraborty · 2023
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Risk-based authentication for openstack: A fully functional implementation and guiding example
Vincent Unsel, Stephan Wiefling, Nils Gruschka, and Luigi Lo Iacono · 2023
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Alpha phi-shing fraternity: Phishing assessment in a higher education institution
Marco Casagrande, Mauro Conti, Monica Fedeli, Eleonora Losiouk, et al · 2023
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Check point research weekly intelligence report october 14 - 20, 2024
Check Point Research · 2024
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Google cloud cybersecurity forecast 2024
Google Cloud · 2024
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Top email threats and trends. key findings about the evolution of email-based threats in the age of genai
Inc. Barracuda Networks · 2024
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Next-generation phishing: How llm agents empower cyber attackers
Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, and Juntao Chen · 2024
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From chatbots to phishbots?: Phishing scam generation in commercial large language models
Sayak Saha Roy, Poojitha Thota, Krishna Vamsi Naragam, and Shirin Nilizadeh · 2024
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The science of detecting llm-generated text
Ruixiang Tang, Yu-Neng Chuang, and Xia Hu · 2024
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Deciphering textual authenticity: A generalized strategy through the lens of large language semantics for detecting human vs. machine-generated text
M. Bethany, B. Wherry, E. Bethany, N. Vishwamitra, A. Rios, and P. Najafirad · 2024
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Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, and Hoon Wei Lim · 2024
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Analysing the email data using stylometric method and deep learning to mitigate phishing attack
Peace Nmachi Wosah, Qublai Ali Mirza, and Will Sayers · 2024
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Digital deception: Generative artificial intelligence in social engineering and phishing
Marc Schmitt and Ivan Flechais · 2024
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