Demo brief
Phishing Detection System
A safe, reviewer-friendly walkthrough of the project flow. This is intentionally a controlled simulation, not an offensive live target.
Status
In Development
Stack
Python, Machine Learning, Phishing Detection
Simulation console
Step 01
URL and domain features submitted to the analysis pipeline.
Step 02
Signals such as age, entropy, redirects, and content mismatch are scored.
Step 03
Risk score is mapped to a human-readable verdict.
Step 04
Recommended user action and evidence summary are produced.