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WISE: A Browser Intrusion Prevention System Based on Generative AI and OSINT Threat Intelligence

WISE is a cloud-native browser intrusion prevention system that integrates Groq Llama-3, Google Gemini large language models, and multi-source OSINT threat intelligence to achieve real-time zero-day phishing detection, malicious script identification, and social engineering attack protection.

浏览器安全入侵防御系统生成式AIOSINT威胁情报钓鱼检测Chrome扩展大语言模型网络安全机器学习
Published 2026-05-21 00:13Recent activity 2026-05-21 00:18Estimated read 6 min
WISE: A Browser Intrusion Prevention System Based on Generative AI and OSINT Threat Intelligence
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Section 01

[Introduction] WISE: An AI+OSINT-Driven Browser Intrusion Prevention System

WISE is a cloud-native browser Intrusion Prevention System (IPS) that integrates Groq Llama-3.3, Google Gemini generative AI, and multi-source OSINT threat intelligence to achieve real-time zero-day phishing detection, malicious script identification, and social engineering attack protection. It builds a complete protection loop through Chrome extensions, cloud-based intelligent core, and a visual dashboard.

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Section 02

Project Background: New Challenges in Browser Security

In the digital age, browsers have become the core entry point for user interaction and the primary target for attackers. Traditional security software is limited to system-level protection and lacks an effective real-time response mechanism for in-browser threats (zero-day phishing, malicious script injection, social engineering attacks), leading to the birth of the WISE project.

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Section 03

System Architecture: Three-Tier Modular Design

WISE adopts a three-tier architecture:

  1. Edge Perception Layer: A Chrome extension based on Manifest V3 that intercepts navigation requests in real time and sends URLs to the cloud for analysis;
  2. Intelligent Core Layer: A FastAPI cloud backend that integrates multi-source OSINT intelligence queries and AI in-depth analysis, using SQLite3 to store logs;
  3. Analysis and Display Layer: A glass-morphism visual dashboard that provides an intuitive display of threat logs, risk trends, and attack reports.
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Section 04

Core Technologies: Dual-Model AI and Multi-Source OSINT Integration

Dual-Model AI Analysis Engine

  • Groq Llama 3.3 70B: Responsible for in-depth semantic analysis of web content, identifying phishing features, malicious scripts, and social engineering language;
  • Google Gemini 1.5 Flash: Assists in content summarization and threat classification to improve analysis efficiency.

Multi-Source OSINT Integration

Integrates with authoritative intelligence sources such as VirusTotal v3 API, URLHaus, and Phishing.Database, matching known threats in milliseconds and initiating AI in-depth analysis for unknown threats.

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Section 05

User Interaction: Hover Detection and Forced Isolation Protection

  • Hover Risk Assessment: Triggers background analysis when the mouse hovers over a link, displaying risk results in real time;
  • Forced Isolation: Displays an isolation screen when the risk score exceeds 75%, blocking access and providing an AI-generated threat report;
  • Glass-Morphism Dashboard: An immersive visual experience showing historical threats, risk trends, and attack type distribution.
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Section 06

Technology Stack and Deployment Process

Technology Stack:

  • Backend: Python + FastAPI + SQLite3;
  • Frontend: JS (ES6+) + Chrome Manifest V3 + CSS3 3D;
  • AI/Intelligence: Groq API, Google Gemini, VirusTotal, etc. Deployment Steps:
  1. Clone the repository: git clone https://github.com/surajyadav04/WISE-AI-Defense.git;
  2. Configure API keys for GROQ, GEMINI, etc.;
  3. Start the backend: python app.py;
  4. Load the Chrome extension (from the /extension directory).
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Section 07

Project Value: Technological Innovation and Open-Source Contribution

  • Technological Innovation: First to deeply integrate generative AI and OSINT into real-time browser protection, creating an "AI-driven + intelligence-enabled" architecture;
  • User Experience: Unobtrusive analysis + intuitive visualization, lowering the threshold for secure usage;
  • Educational Significance: Developed by students from Parul University, providing a model for AI security talent cultivation;
  • Open-Source Contribution: Offers reusable solutions to promote the sharing of browser security technologies.
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Section 08

Summary and Outlook: The Future of Human-Machine Collaborative Security

WISE has built a browser security ecosystem with real-time detection, intelligent analysis, and visualization. Future explorations can include: deep integration with browser vendors, enterprise-level deployment solutions, federated learning-based privacy-preserving threat intelligence sharing mechanisms, to drive innovation in browser security technologies.