Copertina

Automated Phishing Detection Using URLs and Webpages

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Huilin, Hooi, Bryan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Multimodal Large Language Models for Phishing Webpage Detection and Identification
di: Lee, Jehyun, et al.
Pubblicazione: (2024)

"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
di: Yuan, Ying, et al.
Pubblicazione: (2024)

Mitigating Bias in Machine Learning Models for Phishing Webpage Detection
di: Kulkarni, Aditya, et al.
Pubblicazione: (2024)

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
di: Kulkarni, Aditya, et al.
Pubblicazione: (2025)

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

PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
di: Islam, Md Robiul, et al.
Pubblicazione: (2024)

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
di: Gopali, Saroj, et al.
Pubblicazione: (2024)

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

From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
di: Kulkarni, Aditya, et al.
Pubblicazione: (2024)

Detecting Phishing Sites Using ChatGPT
di: Koide, Takashi, et al.
Pubblicazione: (2023)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
di: Li, Yuexin, et al.
Pubblicazione: (2024)

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

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

Phishing Email Detection Using Inputs From Artificial Intelligence
di: Paul, Mithün, et al.
Pubblicazione: (2024)

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

Context-Aware Phishing Email Detection Using Machine Learning and NLP
di: Chakravorty, Amitabh, et al.
Pubblicazione: (2026)

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

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

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

Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification
di: Li, Yujie, et al.
Pubblicazione: (2024)

Phishing Email Detection Using Large Language Models
di: Hasan, Najmul, et al.
Pubblicazione: (2025)

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

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
di: Lim, Bryan, et al.
Pubblicazione: (2025)

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

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

Enhancing Phishing Detection in Financial Systems through NLP
di: Amirov, Novruz, et al.
Pubblicazione: (2025)

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

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

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

Can Indirect Prompt Injection Attacks Be Detected and Removed?
di: Chen, Yulin, et al.
Pubblicazione: (2025)

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
di: Castaño, Felipe, et al.
Pubblicazione: (2025)

EIP-7702 Phishing Attack
di: Qi, Minfeng, et al.
Pubblicazione: (2025)

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

Registration, Detection, and Deregistration: Analyzing DNS Abuse for Phishing Attacks
di: Lim, Kyungchan, et al.
Pubblicazione: (2025)

Phishing Detection in Ethereum via Temporal Graph Contrastive Learning
di: Wu, Cong, et al.
Pubblicazione: (2026)

NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
di: Thaqi, Leand, et al.
Pubblicazione: (2024)

Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack
di: Wang, Cheng, et al.
Pubblicazione: (2025)

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection
di: Li, Yuan, et al.
Pubblicazione: (2026)

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