Imagen de Portada

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	De Rosa, Pasquale, Queyrut, Simon, Bromberg, Yérom-David, Felber, Pascal, Schiavoni, Valerio
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ScamDetect: Towards a Robust, Agnostic Framework to Uncover Threats in Smart Contracts
por: De Rosa, Pasquale, et al.
Publicado: (2025)

An Explainable AI Model for the Detecting Malicious Smart Contracts Based on EVM Opcode Based Features
por: Surendran, Roopak
Publicado: (2025)

BlindexTEE: A Blind Index Approach towards TEE-supported End-to-end Encrypted DBMS
por: Vialar, Louis, et al.
Publicado: (2024)

Dissecting Payload-based Transaction Phishing on Ethereum
por: Chen, Zhuo, et al.
Publicado: (2024)

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

Hooked: A Real-World Study on QR Code Phishing
por: Geisler, Marvin, et al.
Publicado: (2024)

Plinius: Secure and Persistent Machine Learning Model Training
por: Yuhala, Peterson, et al.
Publicado: (2021)

Malicious Code Detection in Smart Contracts via Opcode Vectorization
por: Zou, Huanhuan, et al.
Publicado: (2025)

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

Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
por: Alghureid, Ahod, et al.
Publicado: (2024)

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
por: Alghuried, Ahod, et al.
Publicado: (2025)

With Trail to Follow: Measurements of Real-world Non-fungible Token Phishing Attacks on Ethereum
por: Yang, Jingjing, et al.
Publicado: (2023)

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

On the Cost of Model-Serving Frameworks: An Experimental Evaluation
por: De Rosa, Pasquale, et al.
Publicado: (2024)

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

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

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

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

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

MPC-EVM: Enabling MPC Execution by Smart Contracts In An Asynchronous Manner
por: Zhou, Yichen, et al.
Publicado: (2025)

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

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

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

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

Practical Secure Aggregation by Combining Cryptography and Trusted Execution Environments
por: de Laage, Romain, et al.
Publicado: (2025)

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

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

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

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

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

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)

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

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

Security Analysis of Ponzi Schemes in Ethereum Smart Contracts
por: Zhang, Chunyi, et al.
Publicado: (2025)

An Automated Analyzer for Financial Security of Ethereum Smart Contracts
por: Wang, Wansen, et al.
Publicado: (2022)

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine
por: Ma, Jie, et al.
Publicado: (2025)

Understanding and Characterizing Obfuscated Funds Transfers in Ethereum Smart Contracts
por: Sheng, Zhang, et al.
Publicado: (2025)

FlexiContracts: A Novel and Efficient Scheme for Upgrading Smart Contracts in Ethereum Blockchain
por: Hossain, Tahrim, et al.
Publicado: (2025)

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