Cover Image

Anti-Phishing Training (Still) Does Not Work: A Large-Scale Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rozema, Andrew T., Davis, James C.
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Eyes on the Phish(er): Towards Understanding Users' Email Processing Pattern and Mental Models in Phishing Detection
by: Zhuo, Sijie, et al.
Published: (2024)

A Quantitative Study of SMS Phishing Detection
by: Timko, Daniel, et al.
Published: (2023)

Sustaining Cyber Awareness: The Long-Term Impact of Continuous Phishing Training and Emotional Triggers
by: Toth, Rebeka, et al.
Published: (2025)

Sixteen Years of Phishing User Studies: What Have We Learned?
by: Baki, Shahryar, et al.
Published: (2021)

Why People Still Fall for Phishing Emails: An Empirical Investigation into How Users Make Email Response Decisions
by: Jayatilaka, Asangi, et al.
Published: (2024)

Persuasion and Phishing: Analysing the Interplay of Persuasion Tactics in Cyber Threats
by: Khadka, Kalam
Published: (2024)

Digital Deception: Generative Artificial Intelligence in Social Engineering and Phishing
by: Schmitt, Marc, et al.
Published: (2023)

Can Large Language Models Automate Phishing Warning Explanations? A Controlled Experiment on Effectiveness and User Perception
by: Cau, Federico Maria, et al.
Published: (2025)

Comparative Simulation of Phishing Attacks on a Critical Information Infrastructure Organization: An Empirical Study
by: Sirawongphatsara, Patsita, et al.
Published: (2024)

A Survey on the Principles of Persuasion as a Social Engineering Strategy in Phishing
by: Khadka, Kalam, et al.
Published: (2024)

MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
by: Mendes, Paulo, et al.
Published: (2025)

PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
by: Roy, Sayak Saha, et al.
Published: (2024)

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks
by: La Torre, Antonio, et al.
Published: (2025)

Protecting Onion Service Users Against Phishing
by: Güldenring, Benjamin, et al.
Published: (2024)

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
by: Saka, Tarini, et al.
Published: (2024)

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
by: Kulkarni, Aditya, et al.
Published: (2025)

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
by: Cao, Tri, et al.
Published: (2024)

PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
by: Dalton, Thomas, et al.
Published: (2025)

PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
by: Li, Wenhao, et al.
Published: (2025)

GuardPhish: Securing Open-Source LLMs from Phishing Abuse
by: Mishra, Rina, et al.
Published: (2026)

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)

AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection
by: Aslam, Saba, et al.
Published: (2024)

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
by: De Rosa, Pasquale, et al.
Published: (2025)

PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
by: Li, Wenhao, et al.
Published: (2025)

PhishLumos: An Adaptive Multi-Agent System for Proactive Phishing Campaign Mitigation
by: Chiba, Daiki, et al.
Published: (2025)

PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites
by: Nakano, Hiroki, et al.
Published: (2025)

PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
by: Ovi, Md Sultanul Islam, et al.
Published: (2024)

SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
by: Li, Ziwei, et al.
Published: (2025)

PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
by: Chen, Fengchao, et al.
Published: (2024)

Analyzing Codes of Conduct for Online Safety in Video Games at Scale
by: Jiang, Jiuming, et al.
Published: (2026)

PhishNet: A Phishing Website Detection Tool using XGBoost
by: Kumar, Prashant, et al.
Published: (2024)

PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
by: Minhaz, Md Abdul Ahad, et al.
Published: (2025)

From Chatbots to PhishBots? -- Preventing Phishing scams created using ChatGPT, Google Bard and Claude
by: Roy, Sayak Saha, et al.
Published: (2023)

E-PhishGen: Unlocking Novel Research in Phishing Email Detection
by: Pajola, Luca, et al.
Published: (2025)

A Large-Scale Analysis of Phishing Websites Hosted on Free Web Hosting Domains
by: Roy, Sayak Saha, et al.
Published: (2022)

EIP-7702 Phishing Attack
by: Qi, Minfeng, et al.
Published: (2025)

Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation
by: Hriday, Duddu, et al.
Published: (2025)

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
by: Weinz, Marie, et al.
Published: (2025)

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
by: Chen, Xuan, et al.
Published: (2026)

Content, Nudges and Incentives: A Study on the Effectiveness and Perception of Embedded Phishing Training
by: Lain, Daniele, et al.
Published: (2024)