:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Amirov, Novruz, Celik, Leminur, Caner, Egemen Ali, Yurdakul, Emre, Yerlikaya, Fahri Anil, Bahtiyar, Serif
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2507.04426
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DNS Tunneling: Threat Landscape and Improved Detection Solutions
by: Amirov, Novruz, et al.
Published: (2025)

Decentralized Vulnerability Disclosure via Permissioned Blockchain: A Secure, Transparent Alternative to Centralized CVE Management
by: Amirov, Novruz, et al.
Published: (2025)

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

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

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

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

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

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

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

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
by: Lim, Bryan, 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)

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

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

An Innovative Information Theory-based Approach to Tackle and Enhance The Transparency in Phishing Detection
by: Nguyen, Van, et al.
Published: (2024)

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

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

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

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

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

Detecting Phishing Sites Using ChatGPT
by: Koide, Takashi, et al.
Published: (2023)

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

Phishing Awareness via Game-Based Learning
by: Rahartomo, Argianto, et al.
Published: (2025)

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
by: Trad, Fouad, et al.
Published: (2024)

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

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

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

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

Phishing Website Detection through Multi-Model Analysis of HTML Content
by: Çolhak, Furkan, et al.
Published: (2024)

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

Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
by: Alghuried, Ahod, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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