Multi-Layer AI Pipeline

How FakeSite Hunter
Detects Threats

Every URL goes through a 3-engine security pipeline — structural URL checks, content intelligence, and visual deep learning — for fast and reliable phishing detection.

Detection Flow

Three independent engines. One final verdict.

01
🔗

Engine 1 — URL & Homograph Analysis

Detects spoofed domains, Unicode tricks, punycode abuse, brand impersonation, and suspicious character substitutions before page rendering.

URL Intelligence
02
🧠

Engine 2 — Content + NLP Analysis

Loads the page securely, extracts structural signals and text intent, and flags social-engineering language like urgency, fake login prompts, and scam patterns.

Semantic + Behavioral
03
🖼️

Engine 3 — Visual Deep Learning

Analyzes webpage screenshot using EfficientNet-based classifier to identify cloned brand layouts and phishing-style UI visuals.

Computer Vision

Final Verdict Engine

Outputs: PHISHING, SUSPICIOUS, or LEGITIMATE with confidence scoring — so users can decide safely before clicking.