Image de couverture de livre

PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Wenhao, Manickam, Selvakumar, Chong, Yung-wey, Karuppayah, Shankar
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
par: Li, Wenhao, et autres
Publié: (2025)

Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers
par: Li, Wenhao, et autres
Publié: (2025)

PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
par: Li, Wenhao, et autres
Publié: (2025)

PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
par: Ovi, Md Sultanul Islam, et autres
Publié: (2024)

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
par: Chen, Xuan, et autres
Publié: (2026)

PhishNet: A Phishing Website Detection Tool using XGBoost
par: Kumar, Prashant, et autres
Publié: (2024)

A Sophisticated Framework for the Accurate Detection of Phishing Websites
par: Newaz, Asif, et autres
Publié: (2024)

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
par: Cao, Tri, et autres
Publié: (2024)

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
par: Xue, Yinuo, et autres
Publié: (2025)

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
par: Li, Yuexin, et autres
Publié: (2024)

Phishing Website Detection through Multi-Model Analysis of HTML Content
par: Çolhak, Furkan, et autres
Publié: (2024)

PhishLumos: An Adaptive Multi-Agent System for Proactive Phishing Campaign Mitigation
par: Chiba, Daiki, et autres
Publié: (2025)

Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
par: Hannousse, Abdelhakim, et autres
Publié: (2020)

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
par: Saka, Tarini, et autres
Publié: (2024)

Phishing Website Detection Using a Combined Model of ANN and LSTM
par: Farooq, Muhammad Shoaib, et autres
Publié: (2024)

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
par: Kulkarni, Aditya, et autres
Publié: (2025)

PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites
par: Nakano, Hiroki, et autres
Publié: (2025)

Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents
par: Malloy, Tailia, et autres
Publié: (2026)

SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
par: Li, Ziwei, et autres
Publié: (2025)

User-Centric Phishing Detection: A RAG and LLM-Based Approach
par: Barwani, Abrar Hamed Al, et autres
Publié: (2026)

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
par: Weinz, Marie, et autres
Publié: (2025)

PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
par: Dalton, Thomas, et autres
Publié: (2025)

Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
par: Goldenits, Georg, et autres
Publié: (2025)

Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation
par: Hriday, Duddu, et autres
Publié: (2025)

A Large-Scale Analysis of Phishing Websites Hosted on Free Web Hosting Domains
par: Roy, Sayak Saha, et autres
Publié: (2022)

E-PhishGen: Unlocking Novel Research in Phishing Email Detection
par: Pajola, Luca, et autres
Publié: (2025)

Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models
par: Ji, Fujiao, et autres
Publié: (2024)

GuardPhish: Securing Open-Source LLMs from Phishing Abuse
par: Mishra, Rina, et autres
Publié: (2026)

PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
par: Chen, Fengchao, et autres
Publié: (2024)

CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
par: Nejati, Fatemeh, et autres
Publié: (2026)

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
par: Gopali, Saroj, et autres
Publié: (2024)

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
par: Chen, Fengchao, et autres
Publié: (2025)

CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection
par: Trad, Fouad, et autres
Publié: (2025)

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
par: De Rosa, Pasquale, et autres
Publié: (2025)

PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier
par: Shahriyar, Md. Farhan, et autres
Publié: (2025)

PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
par: Islam, Md Robiul, et autres
Publié: (2024)

EIP-7702 Phishing Attack
par: Qi, Minfeng, et autres
Publié: (2025)

Detecting Phishing Sites Using ChatGPT
par: Koide, Takashi, et autres
Publié: (2023)

Automated Phishing Detection Using URLs and Webpages
par: Wang, Huilin, et autres
Publié: (2024)

LLM-Powered Intent-Based Categorization of Phishing Emails
par: Eilertsen, Even, et autres
Publié: (2025)