Final Year Project · CSE · BBDU Lucknow

Detect Phishing
Websites Instantly

Powered by a Random Forest ML model trained on 11,055 URLs with 30 features. Achieves 97.51% accuracy and 99.64% ROC-AUC.

// enter url to scan

Try:

Extracting 30 features & running ML model...

Risk Score

ML Probability

Rule Boost

// DASHBOARD

Total Scans

—

Phishing

—

Legitimate

—

Suspicious

—

Avg Risk

—

// Distribution

Phishing

Suspicious

Legitimate

// Model Accuracy Comparison

Random Forest

97.51%

Decision Tree

96.97%

Gradient Boost

95.02%

Logistic Reg.

92.81%

// Top Feature Importances

SSLfinal_State

32.19%

URL_of_Anchor

25.53%

web_traffic

7.15%

having_Sub_Domain

6.53%

Links_in_tags

4.31%

// SCAN HISTORY