Imagen de Portada

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Xuan, Liu, Hao, Yuan, Tao, Kafai, Mehran, Habas, Piotr, Zhang, Xiangyu
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
por: Li, Wenhao, et al.
Publicado: (2025)

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

Phishing URL Detection using Bi-LSTM
por: Baskota, Sneha
Publicado: (2025)

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

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
por: Xue, Yinuo, et al.
Publicado: (2025)

Eliciting Least-to-Most Reasoning for Phishing URL Detection
por: Trikilis, Holly, et al.
Publicado: (2026)

URL Inspection Tasks: Helping Users Detect Phishing Links in Emails
por: Lain, Daniele, et al.
Publicado: (2025)

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

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

Efficient Phishing URL Detection Using Graph-based Machine Learning and Loopy Belief Propagation
por: Guo, Wenye, et al.
Publicado: (2025)

A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
por: Emmanuel, Uche Unoke, et al.
Publicado: (2026)

Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis
por: Altan, Ibrahim, et al.
Publicado: (2025)

Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
por: Hasan, Najmul, et al.
Publicado: (2026)

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

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

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

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

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

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

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
por: Afane, Khalifa, et al.
Publicado: (2024)

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

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
por: Chen, Fengchao, et al.
Publicado: (2025)

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

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

Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
por: Mia, Maraz, et al.
Publicado: (2024)

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

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

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

CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
por: Nejati, Fatemeh, et al.
Publicado: (2026)

User-Centric Phishing Detection: A RAG and LLM-Based Approach
por: Barwani, Abrar Hamed Al, et al.
Publicado: (2026)

CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection
por: Trad, Fouad, et al.
Publicado: (2025)

EIP-7702 Phishing Attack
por: Qi, Minfeng, et al.
Publicado: (2025)

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

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
por: Huang, Wei, et al.
Publicado: (2025)

Detecting Phishing Sites Using ChatGPT
por: Koide, Takashi, et al.
Publicado: (2023)

Automated Phishing Detection Using URLs and Webpages
por: Wang, Huilin, et al.
Publicado: (2024)

PhishSigma++: Malicious Email Detection with Typed Entity Relations
por: Shang, Shang, et al.
Publicado: (2026)

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

How Can We Effectively Use LLMs for Phishing Detection?: Evaluating the Effectiveness of Large Language Model-based Phishing Detection Models
por: Ji, Fujiao, et al.
Publicado: (2025)