Malware-Scanner-System

Multi-layered malware detection system using static analysis, dynamic browser automation, and external APIs for accurate website threat identification. Project Code, Documents and Video Implementation

🛡️ Malware Detection System

This project implements a comprehensive malware detection system using multiple detection layers, dynamic analysis techniques, and external threat intelligence APIs.

Youtube Video : https://youtu.be/Zs528NqpIMs?si=Vri3rs0qkW8lnOow

🔍 Overview

This system is designed to analyze and detect malicious websites by combining static analysis, dynamic behavior inspection, and third-party API integrations. Its multi-layered architecture ensures robust and accurate threat detection across a wide range of categories.

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🧩 Core Detection Components

📄 Static Content Analysis

• HTML Content Scanning: Uses Cheerio to parse and analyze HTML structure.
• JavaScript Code Analysis: Detects suspicious or obfuscated JS patterns.
• Network Request Monitoring: Extracts and analyzes outbound URLs and endpoints.
• Keyword-Based Threat Detection: Matches against known malicious keywords and patterns.

🌐 External API Integration

• VirusTotal — URL reputation and threat reports.
• Google Safe Browsing API — Website threat classification.
• URLScan.io — Dynamic scanning and visual analysis.
• AbuseIPDB — IP reputation and abuse data.
• PicPurify & APILayer — Image and content moderation.

⚙️ Dynamic Behavior Analysis

• Playwright Automation: Crawls websites in headless mode.
• Hidden Element Detection: Identifies cloaking, hidden links, and iframes.
• Obfuscated Script Identification: Flags minified, encoded, or anomalous JavaScript.
• Behavioral Pattern Matching: Detects patterns common in malicious websites.

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🔁 Detection Flow

1. Initial Content Analysis

   • Parse HTML
   • Extract and analyze JS
   • Match suspicious keywords

2. External API Verification

   • Scan URLs and IPs
   • Check reputation
   • Analyze embedded media (images, etc.)

3. Dynamic Behavior Analysis

   • Simulate user browsing
   • Monitor hidden elements
   • Track suspicious scripts

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🚨 Threat Categories Detected

• Malware & viruses
• Phishing websites
• Adult content
• Gambling websites
• Crypto scams
• Suspicious JavaScript
• Hidden iframes
• Obfuscated/encoded code

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📊 Risk Assessment Criteria

• Number of threat indicators
• Severity score per threat
• VirusTotal detection count
• Keyword match confidence
• Image/content scan results

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🧠 Why This Matters

By combining static, dynamic, and third-party intelligence, this system aims to provide accurate and real-time threat detection. It’s built for use cases like:

• Malware URL databases
• Web security monitoring
• Safe browsing tools
• Parental controls
• Automated threat research

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🚀 Setup (Coming Soon)

Installation and usage instructions will be added here.

Youtube Video : https://youtu.be/Zs528NqpIMs?si=Vri3rs0qkW8lnOow

📬 Contact

For support, feedback, or project files, please contact [vatshayan]

Website : http://finalproject.in/

Mail : [email protected]