Built around Indonesian URL patterns
The dataset focuses on Indonesian phishing and benign URLs, including local brand impersonation, suspicious paths, tracking parameters, and official domains.
Selected project
PHISHNET scans URLs from the browser, checks them through a FastAPI inference service, warns users when a phishing page is detected, and collects feedback to correct false positives or false negatives.
The dataset focuses on Indonesian phishing and benign URLs, including local brand impersonation, suspicious paths, tracking parameters, and official domains.
The model pipeline uses URL token representation together with typosquatting, edit distance, domain structure, entropy, path, query, and Indonesian phishing keyword features.
A FastAPI backend exposes prediction, feedback, statistics, and health endpoints while handling whitelist rules, cache hits, and user correction overrides.
The Chrome extension auto-scans active tabs, shows a warning banner for phishing results, stores scan history, displays statistics, and lets users report mistakes.
Interface evidence
Wide browser captures are shown full-width, while compact extension popup screens keep their natural size so the UI remains legible.
Detection pipeline