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Security Automation & Edge AI

PhishDetector.

PhishDetector

Company

Personal Project

Role

Creator & Researcher

Timeline

2022 - 2023

Links

Threat Accuracy99.2%

Highly validated classifier identifying zero-day threats

Inference Latency< 8ms

Instant local validation running fully inside the browser extension

User Privacy100%

Edge processing ensures zero browsing history streams leave the machine

Major Features Highlight

Real-time URL analysis with 99.2% accuracy

Machine learning threat detection

Browser extension integration

Overview

PhishDetector is an award-winning real-time security threat automation chrome extension. It deploys lightweight machine learning classifiers directly on the edge, enabling zero-day phishing protection without compromising user privacy or web rendering speed.

The Challenge

Phishing URLs change within hours. Traditional security architectures depend on massive, latency-heavy blacklist databases, leaving users exposed to new zero-day attacks while sharing private browsing history with cloud APIs.

The Engineering Solution

Engineered in-browser TensorFlow.js classifier agents. Extracted and normalized lightweight feature signals (URL length, subdomain structures, certificate characteristics) directly on the edge, providing zero-latency block warnings.

Key System Deliverables

  • Chrome Manifest V3 Extension running local TensorFlow.js classifiers
  • React frontend configured with Tailwind CSS for seamless user warning portals
  • Python Flask API backed by GCP and PostgreSQL to update model weights incrementally

Measurable Success

  • Provided absolute offline-first zero-day protection
  • Minimized lookup lags entirely by moving prediction algorithms to the client edge
  • Maintained total customer privacy boundaries with zero external browsing data leakage

Technologies Deployed

ReactTypeScriptChrome Extension APIsTensorFlowPythonFlaskPostgreSQLGCP

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