A State-of-the-art Review on Phishing Website Detection Techniques

W Li, S Manickam, YW Chong, W Leng… - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as
a primary tool for attackers to deceive users and steal sensitive information. The rapid …

[PDF][PDF] The Poorest Man in Babylon: A Longitudinal Study of Cryptocurrency Investment Scams

M Muzammil, A Pitumpe, X Li, A Rahmati… - THE WEB …, 2025 - researchgate.net
In September 2024, the US Federal Bureau of Investigation released its Cryptocurrency
Fraud Report 2023, reporting on 69,000 complaints from the public regarding cryptocurrency …

ChatPhishDetector: Detecting Phishing Sites Using Large Language Models

T Koide, H Nakano, D Chiba - IEEE Access, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs), such as ChatGPT, are significantly impacting various
fields. While LLMs have been extensively studied for code generation and text synthesis …

AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?

B Wu, G Chen, K Chen, X Shang, J Han, Y He… - arxiv preprint arxiv …, 2024 - arxiv.org
Penetration testing is essential to ensure Web security, which can detect and fix
vulnerabilities in advance, and prevent data leakage and serious consequences. The …

PhishIntel: Toward Practical Deployment of Reference-based Phishing Detection

Y Li, HK Tan, Q Meng, ML Lock, T Cao, S Deng… - arxiv preprint arxiv …, 2024 - arxiv.org
Phishing is a critical cyber threat, exploiting deceptive tactics to compromise victims and
cause significant financial losses. While reference-based phishing detectors (RBPDs) …

生成モデルに関するセキュリティとプライバシの現状

大畑幸矢 - コンピュータセキュリティシンポジウム 2024 論文集, 2024 - ipsj.ixsq.nii.ac.jp
論文抄録 プロンプトと呼ばれる入力に応じて文書, 画像, 動画などを生成する機械学習モデルである
生成モデル (生成 AI と呼ばれることも多い) は, その利用に専門知識が不要なこともあって人々の …