Android protection flow
Extends anti-phishing guidance to mobile flows such as shared links, browsing, and app-level review.
Military-Grade Cybersecurity
Browse with absolute confidence. Total privacy, zero data collection.
Phishtra instantly detects and blocks malicious sites before they can steal your credentials. Powered by an advanced on-device Rust heuristics engine, your browsing data never leaves your device. Uncompromised security meets ultimate peace of mind.
Risk signals were detected before navigation continued.
The Phishtra Advantage
Traditional anti-phishing tools send your private browsing history to the cloud. Phishtra is different. It brings the power of an enterprise-grade analysis engine directly to your Android device and Chrome browser. By evaluating behavioral signals and URL context 100% offline, it offers unparalleled peace of mind.
This public showcase demonstrates the seamless user experience, instantaneous blocking mechanics, and secure architecture of the platform. (Proprietary detection algorithms and source code remain securely unreleased to protect the integrity of the engine against threat actors).
Feature Showcase
Extends anti-phishing guidance to mobile flows such as shared links, browsing, and app-level review.
Evaluates URL and page-context signals before a risky destination becomes a user mistake.
Provides a clear interruption moment with risk reasons, destination context, and controlled next steps — right on your phone.
Gives users a compact control center for checks, recent decisions, settings, and status.
Translates technical signals into practical language without overexposing proprietary internals.
Designed around local processing, data minimization, and careful boundaries for user trust.
Structured for product growth, store-readiness, compliance review, and planned reputation services.
Interactive Workflow
Architecture
graph TD
classDef mainNode fill:#3b82f6,stroke:#fff,stroke-width:2px,color:#fff,rx:8px,ry:8px;
classDef webNode fill:#10b981,stroke:#6ee7b7,stroke-width:2px,color:#fff,rx:8px,ry:8px;
classDef upcomingNode fill:#f59e0b,stroke:#fde68a,stroke-width:2px,color:#fff,rx:8px,ry:8px,stroke-dasharray:5;
classDef adminNode fill:#8b5cf6,stroke:#c4b5fd,stroke-width:2px,color:#fff,rx:8px,ry:8px;
User["👤 End User"]:::mainNode
Admin["👑 System Admin"]:::adminNode
subgraph Public Facing
Web["🌍 Company Website
(Marketing & Auth)"]:::webNode
end
subgraph Client Applications
Ext["🌐 Chrome Extension"]:::mainNode
App["📱 Android App"]:::mainNode
Desk["💻 Desktop App
(Upcoming)"]:::upcomingNode
end
subgraph Backend Services
Dash["📊 Admin Dashboard
(Fleet Management & Analytics)"]:::adminNode
API["⚙️ Threat Intelligence API"]:::adminNode
end
User --> Web
User --> Ext
User --> App
User -.-> Desk
Admin --> Dash
Dash --> API
Ext -->|Telemetry / Updates| API
App -->|Telemetry / Updates| API
Desk -.->|Telemetry / Updates| API
graph LR
classDef appNode fill:#18181b,stroke:#3b82f6,stroke-width:2px,color:#fff,rx:8px,ry:8px;
classDef coreNode fill:#ef4444,stroke:#fca5a5,stroke-width:2px,color:#fff,rx:12px,ry:12px;
Link["User Opens Link
in any app"]:::appNode
A11y["Accessibility Service
URL Extraction"]:::appNode
JNI["Rust Engine (JNI)
Offline Heuristics"]:::coreNode
Alert["System Overlay /
Notification Alert"]:::appNode
AppUI["Main App UI
(Scan & Settings)"]:::appNode
Link --> A11y
A11y -->|Raw URL Context| JNI
JNI -->|Verdict: Phishing| Alert
Alert -->|User Override| Link
AppUI -.->|Configure| A11y
graph LR
classDef extNode fill:#18181b,stroke:#14b8a6,stroke-width:2px,color:#fff,rx:8px,ry:8px;
classDef coreNode fill:#ef4444,stroke:#fca5a5,stroke-width:2px,color:#fff,rx:12px,ry:12px;
Nav["User Navigates
to URL"]:::extNode
Worker["Service Worker
(Background Intercept)"]:::extNode
DOM["Content Script
(DOM Analysis)"]:::extNode
WASM["Rust Engine (WASM)
Offline Heuristics"]:::coreNode
Popup["Extension Popup
(User Controls)"]:::extNode
Warning["🛑 Red Warning Page"]:::extNode
Nav --> Worker
Worker --> DOM
DOM -->|Raw Signals| WASM
Worker -->|URL Meta| WASM
WASM -->|Verdict: Safe| Nav
WASM -->|Verdict: Phishing| Warning
Popup -.->|Settings| Worker
graph LR
classDef deskNode fill:#18181b,stroke:#f59e0b,stroke-width:2px,color:#fff,rx:8px,ry:8px,stroke-dasharray:5;
classDef coreNode fill:#ef4444,stroke:#fca5a5,stroke-width:2px,color:#fff,rx:12px,ry:12px;
Req["System Network Req
(Browser/App)"]:::deskNode
Proxy["Local OS Proxy /
DNS Sinkhole"]:::deskNode
Native["Rust Engine (Native)
Offline Heuristics"]:::coreNode
Tray["System Tray UI
& Notifications"]:::deskNode
Block["Connection Blocked
(Localhost Page)"]:::deskNode
Req --> Proxy
Proxy -->|Packet / DNS| Native
Native -->|Verdict: Phishing| Block
Native -->|Alert| Tray
Tray -.->|Configure| Proxy
A Glimpse into the Engine
Here are a few highlights of the Phishtra interface. Beneath the surface lies a comprehensive suite of advanced detection modules protecting your digital footprint.
Real-time protection status for your mobile device.
Automatically identifies social engineering and scams in messages.
Total control over your privacy and security settings.
Interrupts dangerous links across all your apps.
Instant view of your live protection status.
Interrupts dangerous navigation with risk signals.
Clear setup flows introducing key features.
Manual offline scan interface for deep analysis.
+ Over 20 Proprietary Modules Operating in Stealth
Privacy and Trust
The implementation is private because the product may be commercially released. This showcase intentionally avoids private source code, detection internals, secret rules, datasets, API keys, and internal service details.
Claims are conservative. The product is designed to reduce phishing risk and improve user decision-making, not to promise perfect protection.
User-facing warnings should be explainable, reversible where appropriate, respectful of false positives, and transparent about what is and is not being inspected.
Technical Depth
Mobile-first security flows with app screens for scanning, warnings, settings, and onboarding.
Popup, content scripts, warning experience, local state, and page-context mediation.
Private signal evaluation layer designed to convert technical observations into actionable verdicts.
Decision-focused copy, visual severity, reason summaries, and user override considerations.
Separate product surfaces and shared concepts allow safer iteration and platform-specific delivery.
Public materials emphasize data minimization and avoid disclosing proprietary implementation details.
Roadmap
Let's Connect
While the core detection source code remains private for commercial reasons, I'm available for technical walkthroughs, system design interviews, and live demos of the rust-based heuristics engine.