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Recent progress in artificial intelligence (AI), particularly in the domain of large language models (LLMs), has resulted in powerful and versatile dual-use systems. This intelligence can be put towards a wide variety of beneficial tasks,…

计算机与社会 · 计算机科学 2023-12-25 Julian Hazell

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. Traditionally, many phishing emails have been characterized by…

Phishing remains a critical cybersecurity threat, especially with the advent of large language models (LLMs) capable of generating highly convincing malicious content. Unlike earlier phishing attempts which are identifiable by grammatical…

密码学与安全 · 计算机科学 2025-10-15 Deeksha Hareesha Kulal , Chidozie Princewill Arannonu , Afsah Anwar , Nidhi Rastogi , Quamar Niyaz

Phishing has long been a common tactic used by cybercriminals and continues to pose a significant threat in today's digital world. When phishing attacks become more advanced and sophisticated, there is an increasing need for effective…

密码学与安全 · 计算机科学 2025-02-10 Catherine Lee

In this research, we aim to explore the potential of natural language models (NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent messages that aim to trick individuals into revealing…

计算与语言 · 计算机科学 2023-01-03 Rabimba Karanjai

Phishing, a prevalent cybercrime tactic for decades, remains a significant threat in today's digital world. By leveraging clever social engineering elements and modern technology, cybercrime targets many individuals, businesses, and…

计算与语言 · 计算机科学 2024-06-10 Het Patel , Umair Rehman , Farkhund Iqbal

The advanced capabilities of Large Language Models (LLMs) have made them invaluable across various applications, from conversational agents and content creation to data analysis, research, and innovation. However, their effectiveness and…

密码学与安全 · 计算机科学 2024-03-12 Sayak Saha Roy , Poojitha Thota , Krishna Vamsi Naragam , Shirin Nilizadeh

Phishing attacks remain a significant threat to modern cybersecurity, as they successfully deceive both humans and the defense mechanisms intended to protect them. Traditional detection systems primarily focus on email metadata that users…

密码学与安全 · 计算机科学 2025-06-18 Even Eilertsen , Vasileios Mavroeidis , Gudmund Grov

The proliferation of phishing sites and emails poses significant challenges to existing cybersecurity efforts. Despite advances in malicious email filters and email security protocols, problems with oversight and false positives persist.…

密码学与安全 · 计算机科学 2024-08-26 Takashi Koide , Naoki Fukushi , Hiroki Nakano , Daiki Chiba

The escalating threat of phishing emails has become increasingly sophisticated with the rise of Large Language Models (LLMs). As attackers exploit LLMs to craft more convincing and evasive phishing emails, it is crucial to assess the…

密码学与安全 · 计算机科学 2024-11-22 Khalifa Afane , Wenqi Wei , Ying Mao , Junaid Farooq , Juntao Chen

Spear-phishing attacks present a significant security challenge, with large language models (LLMs) escalating the threat by generating convincing emails and facilitating target reconnaissance. To address this, we propose a detection…

机器学习 · 计算机科学 2024-12-25 Daniel Nahmias , Gal Engelberg , Dan Klein , Asaf Shabtai

Phishing remains a pervasive cyber threat, as attackers craft deceptive emails to lure victims into revealing sensitive information. While Artificial Intelligence (AI), in particular, deep learning, has become a key component in defending…

密码学与安全 · 计算机科学 2025-05-07 Fengchao Chen , Tingmin Wu , Van Nguyen , Shuo Wang , Alsharif Abuadbba , Carsten Rudolph

Large language models(LLMs) have demonstrated remarkable performance on many natural language processing(NLP) tasks and have been employed in phishing email detection research. However, in current studies, well-performing LLMs typically…

计算与语言 · 计算机科学 2025-05-06 Zijie Lin , Zikang Liu , Hanbo Fan

Phishing and spam detection is long standing challenge that has been the subject of much academic research. Large Language Models (LLM) have vast potential to transform society and provide new and innovative approaches to solve…

计算与语言 · 计算机科学 2023-11-14 Suhaima Jamal , Hayden Wimmer

This paper explores the use of Large Language Models (LLMs) in spear phishing message generation and evaluates their performance compared to human-authored counterparts. Our pilot study examines the effectiveness of smishing (SMS phishing)…

计算机与社会 · 计算机科学 2025-03-20 Jerson Francia , Derek Hansen , Ben Schooley , Matthew Taylor , Shydra Murray , Greg Snow

Phishing campaigns involve adversaries masquerading as trusted vendors trying to trigger user behavior that enables them to exfiltrate private data. While URLs are an important part of phishing campaigns, communicative elements like text…

密码学与安全 · 计算机科学 2026-05-14 Fengchao Chen , Tingmin Wu , Van Nguyen , Carsten Rudolph

Phishing, whether through email, SMS, or malicious websites, poses a major threat to organizations by using social engineering to trick users into revealing sensitive information. It not only compromises company's data security but also…

密码学与安全 · 计算机科学 2025-02-10 Sakshi Mahendru , Tejul Pandit

Large Language Models are expanding beyond being a tool humans use and into independent agents that can observe an environment, reason about solutions to problems, make changes that impact those environments, and understand how their…

密码学与安全 · 计算机科学 2026-02-17 Tailia Malloy , Tegawende F. Bissyande

With the rapid development of large language models, the potential threat of their malicious use, particularly in generating phishing content, is becoming increasingly prevalent. Leveraging the capabilities of LLMs, malicious users can…

密码学与安全 · 计算机科学 2025-09-10 Yan Pang , Wenlong Meng , Xiaojing Liao , Tianhao Wang

Phishing email is a serious cyber threat that tries to deceive users by sending false emails with the intention of stealing confidential information or causing financial harm. Attackers, often posing as trustworthy entities, exploit…

机器学习 · 计算机科学 2025-08-15 Mohammad Amaz Uddin , Md Mahiuddin , Iqbal H. Sarker
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