Imagen de Portada

PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Minhaz, Md Abdul Ahad, Meem, Zannatul Zahan, Hossain, Md. Shohrab
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks
por: Madden, Jordan, et al.
Publicado: (2024)

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
por: Struppek, Lukas, et al.
Publicado: (2021)

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

Position Paper: Think Globally, React Locally -- Bringing Real-time Reference-based Website Phishing Detection on macOS
por: Petrukha, Ivan, et al.
Publicado: (2024)

SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration
por: Firdos, Rumman, et al.
Publicado: (2026)

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
por: Ige, Tosin, et al.
Publicado: (2024)

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

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

Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors
por: Kadir, Md Abdul, et al.
Publicado: (2024)

PHANTOM: PHysical ANamorphic Threats Obstructing Connected Vehicle Mobility
por: Shuvo, Md Nahid Hasan, et al.
Publicado: (2025)

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

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

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

An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
por: Uddin, Mohammad Amaz, et al.
Publicado: (2024)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
por: Ke, Zong, et al.
Publicado: (2025)

Differential Anomaly Detection for Facial Images
por: Ibsen, Mathias, et al.
Publicado: (2021)

Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
por: Shahriar, Md Hasan, et al.
Publicado: (2024)

AI-generated Image Detection: Passive or Watermark?
por: Guo, Moyang, et al.
Publicado: (2024)

On the Detection of Image-Scaling Attacks in Machine Learning
por: Quiring, Erwin, et al.
Publicado: (2023)

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

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

Detecting AutoEncoder is Enough to Catch LDM Generated Images
por: Vesnin, Dmitry, et al.
Publicado: (2024)

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

Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
por: Keita, Mamadou, et al.
Publicado: (2024)

Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
por: Keita, Mamadou, et al.
Publicado: (2024)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
por: Abdullah, Sifat Muhammad, et al.
Publicado: (2024)

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
por: Riya, Farhin Farhad, et al.
Publicado: (2023)

A Novel Approach to Image Steganography Using Generative Adversarial Networks
por: Rehman, Waheed
Publicado: (2024)

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

ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
por: Amin, Al, et al.
Publicado: (2024)

Digital Video Manipulation Detection Technique Based on Compression Algorithms
por: Fernandez, Edgar Gonzalez, et al.
Publicado: (2024)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
por: Li, Jiyao, et al.
Publicado: (2024)

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
por: Faisal, Aseer Al
Publicado: (2025)

One-Index Vector Quantization Based Adversarial Attack on Image Classification
por: Fan, Haiju, et al.
Publicado: (2024)

FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space
por: Guo, Yiyang, et al.
Publicado: (2024)

A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
por: Arifin, Md Mashrur, et al.
Publicado: (2024)

Phishsense-1B: A Technical Perspective on an AI-Powered Phishing Detection Model
por: Blake, SE
Publicado: (2025)

PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
por: Dalton, Thomas, et al.
Publicado: (2025)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
por: Yilmaz, Eda, et al.
Publicado: (2024)