About PDAS

Built to Stop
Phishing at the Source

A graduation project focused on real-world cybersecurity: detecting and classifying phishing threats before they cause harm.

Why We Built PDAS

Phishing attacks are one of the most widespread and damaging forms of cybercrime today. Despite advances in security technology, attackers continue to evolve their tactics — spoofing trusted brands, crafting convincing emails, and hiding malicious files inside harmless-looking attachments.

PDAS was built as a graduation project to tackle this challenge directly. By combining real-time browser extension monitoring with a powerful analysis engine and a clear risk-level classification system, we give everyday users the tools to understand exactly what threats they're facing — and what to do about them.

📧
3.4B
Phishing emails sent daily worldwide
💸
$4.9B
Global cost of phishing in 2023
⚠️
36%
Of breaches involve phishing
🛡️
96.0%
PDAS detection accuracy in testing
Technology

How PDAS Works Under the Hood

A multi-layer detection pipeline that analyzes every dimension of an incoming email or file.

🌐

Browser Extension

Lightweight Chrome/Edge extension that hooks into email clients and intercepts messages before display.

🔗

URL Analysis

Every link is extracted and checked against known phishing domains, URL shorteners, and suspicious patterns.

📎

File Scanning

Attachments are analyzed for embedded macros, executable content, and disguised file types.

👤

Sender Verification

SPF, DKIM, and DMARC records are checked, plus display-name spoofing and lookalike domain detection.

🧠

NLP Text Analysis

Email body is analyzed for urgency manipulation, credential harvesting patterns, and social engineering tactics.

📊

Risk Scoring

All signals are combined into a unified risk score, then classified into Low, Medium, or High threat levels.

Development Timeline

Phase 1 — Research

Problem Analysis & Literature Review

Deep dive into phishing taxonomy, existing detection methods, and current gaps in consumer-facing tools.

Phase 2 — Design

System Architecture & UX Design

Designed the detection pipeline, risk classification framework, and user-facing dashboard wireframes.

Phase 3 — Development

Extension & Backend Build

Built the browser extension, analysis engine, and dashboard. Integrated all detection modules.

Phase 4 — Testing

Validation & Accuracy Testing

Tested against a dataset of 5,000+ real phishing samples. Achieved 96.0% detection accuracy.

Who Built This

A

Team Member 1

Detection Engine
B

Team Member 2

Browser Extension
C

Team Member 3

Dashboard & UI
D

Team Member 4

Research & Testing

Ready to Protect Your Inbox?

Download the PDAS extension and get real-time phishing protection today.

⬇ Download Extension