Characterizing Phishing Threats with Natural Language Processing
Fuente:
arXiv
Guardado en:
| Autores principales: | Kotson, Michael C., Schulz, Alexia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2015
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
por: Weinz, Marie, et al.
Publicado: (2025)
por: Weinz, Marie, et al.
Publicado: (2025)
Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
por: Saka, Tarini, et al.
Publicado: (2024)
por: Saka, Tarini, et al.
Publicado: (2024)
Jailbreaking Generative AI: Multivector Phishing Threats and Transformer based Defenses
por: Mishra, Rina, et al.
Publicado: (2025)
por: Mishra, Rina, et al.
Publicado: (2025)
Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
por: Kulkarni, Aditya, et al.
Publicado: (2025)
por: Kulkarni, Aditya, et al.
Publicado: (2025)
Characterizing the Networks Sending Enterprise Phishing Emails
por: Luo, Elisa, et al.
Publicado: (2024)
por: Luo, Elisa, et al.
Publicado: (2024)
Characterizing Phishing Pages by JavaScript Capabilities
por: Nahapetyan, Aleksandr, et al.
Publicado: (2025)
por: Nahapetyan, Aleksandr, et al.
Publicado: (2025)
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
por: Yuan, Ying, et al.
Publicado: (2024)
por: Yuan, Ying, et al.
Publicado: (2024)
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
por: Chen, Fengchao, et al.
Publicado: (2024)
por: Chen, Fengchao, et al.
Publicado: (2024)
Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
por: Kulkarni, Aditya, et al.
Publicado: (2025)
por: Kulkarni, Aditya, et al.
Publicado: (2025)
GuardPhish: Securing Open-Source LLMs from Phishing Abuse
por: Mishra, Rina, et al.
Publicado: (2026)
por: Mishra, Rina, et al.
Publicado: (2026)
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
por: Cao, Tri, et al.
Publicado: (2024)
por: Cao, Tri, et al.
Publicado: (2024)
PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
por: Li, Yuexin, et al.
Publicado: (2024)
por: Li, Yuexin, et al.
Publicado: (2024)
PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
por: De Rosa, Pasquale, et al.
Publicado: (2025)
por: De Rosa, Pasquale, et al.
Publicado: (2025)
PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
por: Li, Wenhao, et al.
Publicado: (2025)
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)
por: Chiba, Daiki, et al.
Publicado: (2025)
PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites
por: Nakano, Hiroki, et al.
Publicado: (2025)
por: Nakano, Hiroki, et al.
Publicado: (2025)
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)
por: Ji, Fujiao, et al.
Publicado: (2025)
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
EIP-7702 Phishing Attack
por: Qi, Minfeng, et al.
Publicado: (2025)
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)
por: Hriday, Duddu, et al.
Publicado: (2025)
MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
por: Chen, Xuan, et al.
Publicado: (2026)
por: Chen, Xuan, et al.
Publicado: (2026)
PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
Persuasion and Phishing: Analysing the Interplay of Persuasion Tactics in Cyber Threats
por: Khadka, Kalam
Publicado: (2024)
por: Khadka, Kalam
Publicado: (2024)
Eyes on the Phish(er): Towards Understanding Users' Email Processing Pattern and Mental Models in Phishing Detection
por: Zhuo, Sijie, et al.
Publicado: (2024)
por: Zhuo, Sijie, et al.
Publicado: (2024)
ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
por: Koide, Takashi, et al.
Publicado: (2024)
por: Koide, Takashi, et al.
Publicado: (2024)
Detecting Phishing Sites Using ChatGPT
por: Koide, Takashi, et al.
Publicado: (2023)
por: Koide, Takashi, et al.
Publicado: (2023)
Phishing Awareness via Game-Based Learning
por: Rahartomo, Argianto, et al.
Publicado: (2025)
por: Rahartomo, Argianto, et al.
Publicado: (2025)
Automated Phishing Detection Using URLs and Webpages
por: Wang, Huilin, et al.
Publicado: (2024)
por: Wang, Huilin, et al.
Publicado: (2024)
SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
por: Li, Ziwei, et al.
Publicado: (2025)
por: Li, Ziwei, et al.
Publicado: (2025)
Anti-Phishing Training (Still) Does Not Work: A Large-Scale Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale
por: Rozema, Andrew T., et al.
Publicado: (2025)
por: Rozema, Andrew T., et al.
Publicado: (2025)
Phishing Email Detection Using Large Language Models
por: Hasan, Najmul, et al.
Publicado: (2025)
por: Hasan, Najmul, et al.
Publicado: (2025)
Enhancing Phishing Email Identification with Large Language Models
por: Lee, Catherine
Publicado: (2025)
por: Lee, Catherine
Publicado: (2025)
E-PhishGen: Unlocking Novel Research in Phishing Email Detection
por: Pajola, Luca, et al.
Publicado: (2025)
por: Pajola, Luca, et al.
Publicado: (2025)
PhishNet: A Phishing Website Detection Tool using XGBoost
por: Kumar, Prashant, et al.
Publicado: (2024)
por: Kumar, Prashant, et al.
Publicado: (2024)
Enhancing Phishing Detection in Financial Systems through NLP
por: Amirov, Novruz, et al.
Publicado: (2025)
por: Amirov, Novruz, et al.
Publicado: (2025)
Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline
por: Alevizos, Lampis, et al.
Publicado: (2024)
por: Alevizos, Lampis, et al.
Publicado: (2024)
Can MLLMs Detect Phishing? A Comprehensive Security Benchmark Suite Focusing on Dynamic Threats and Multimodal Evaluation in Academic Environments
por: Zhou, Jingzhuo
Publicado: (2025)
por: Zhou, Jingzhuo
Publicado: (2025)
Multimodal Large Language Models for Phishing Webpage Detection and Identification
por: Lee, Jehyun, et al.
Publicado: (2024)
por: Lee, Jehyun, et al.
Publicado: (2024)
Phishing Email Detection Using Inputs From Artificial Intelligence
por: Paul, Mithün, et al.
Publicado: (2024)
por: Paul, Mithün, et al.
Publicado: (2024)
Ejemplares similares
-
The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
por: Weinz, Marie, et al.
Publicado: (2025) -
Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
por: Saka, Tarini, et al.
Publicado: (2024) -
Jailbreaking Generative AI: Multivector Phishing Threats and Transformer based Defenses
por: Mishra, Rina, et al.
Publicado: (2025) -
Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
por: Kulkarni, Aditya, et al.
Publicado: (2025) -
Characterizing the Networks Sending Enterprise Phishing Emails
por: Luo, Elisa, et al.
Publicado: (2024)