01
URL Analysis
The submitted URL is processed and its security-related characteristics are extracted for evaluation.
FEATURE ANALYSIS
AI-POWERED CYBERSECURITY
Know what you're clicking.
Analyze a website URL with a machine-learning model trained to identify potentially phishing and legitimate websites.
THREAT INTELLIGENCE
URL Security Scanner
MODEL
RANDOM FOREST
01
Analyze a URL
Enter the website address you want the model to evaluate.
TRY AN EXAMPLE
DETECTION PIPELINE
How the analysis works
The application combines URL feature analysis with a trained machine-learning classifier to produce a phishing-risk prediction.
02
ML Classification
A Random Forest classifier evaluates the extracted features against patterns learned during model training.
RANDOM FOREST
03
Security Signal
The model returns a prediction and confidence score that can serve as an additional security awareness signal.
RISK INDICATOR
Important security notice
A model prediction is an additional security signal, not a guarantee that a website is safe or malicious. Always exercise caution with unfamiliar links.