M

Malicious Url Detector

Developed by Eason918
A DistilBERT fine-tuned model for malicious URL detection, capable of accurately identifying harmful links such as phishing or malware
Downloads 38
Release Time : 3/22/2025

Model Overview

This model analyzes URL text features to distinguish malicious URLs (e.g., phishing, malware) from benign ones, helping to enhance cybersecurity protection

Model Features

Efficient and Lightweight
Based on the DistilBERT architecture, it reduces computational resource consumption while maintaining high accuracy
Precise Classification
Achieves high-precision classification by fine-tuning to learn text pattern features of malicious URLs
Ready-to-Use Integration
Supports quick integration into existing security systems via Hugging Face Pipeline

Model Capabilities

Malicious URL Detection
Phishing Link Identification
Malware Link Identification

Use Cases

Cybersecurity
Email Security Filtering
Integrated into email systems to automatically scan suspicious links
Blocks malicious links in phishing emails
Website Security Check
Scans URLs submitted by users
Prevents the spread of malicious links
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase