Cybertection URL Scanner v2.0 - Product Description
Overview
Cybertection URL Scanner v2.0 is an advanced cybersecurity tool designed to analyze and assess the safety of URLs in real time. It combines AI-powered threat detection, VT integration, WHOIS lookups, and pattern-based malware scanning to provide comprehensive security insights.
Built with a cyberpunk-themed GUI, this tool is ideal for security professionals, IT administrators, and everyday users who want to verify the legitimacy of suspicious links before clicking.
Key Features
1. Comprehensive URL Analysis
Basic URL Inspection: Extracts domain, IP, path, and HTTP headers
WHOIS Lookup: Reveals domain registration details, ownership, and age
Redirect Detection: Alerts if a URL leads to unexpected destinations
2. AI-Powered Threat Detection
Machine Learning Model: Uses a Random Forest classifier trained on malicious and benign URLs
Feature Extraction: Analyzes URL structure, parameters, and webpage content
Risk Scoring: Provides a confidence percentage (e.g., "Likely Safe (95%)" or "POTENTIAL THREAT (82%)")
3. VirusTotal Integration
API-Based Scanning: Checks URLs against VirusTotal’s threat database
Multi-Engine Detection: Shows results from multiple antivirus vendors
Submission for Analysis: Automatically submits unknown URLs for scanning
4. Enhanced Threat Intelligence
URLhaus Malware Check: Queries the URLhaus database for known malicious links
Phishing Detection: Identifies common phishing patterns (e.g., fake login pages)
Malware Pattern Matching: Detects suspicious URL structures (e.g., /wp-content/uploads/.../malware.exe)
5. User-Friendly Interface
Cyberpunk Styling: Sleek dark theme with neon accents
Tab-Based Results: Organized sections for Basic Info, WHOIS, VirusTotal, and AI Analysis
Progress Tracking: Real-time scan progress bar
Copy-Paste Support: Easy extraction of scan results
Technical Specifications
Programming Language: Python 3.x
Libraries Used:
tkinter (GUI)
requests (HTTP requests)
whois (domain lookup)
vt-py (VirusTotal API)
scikit-learn (AI model)
BeautifulSoup (HTML parsing)
AI Model:
Algorithm: Random Forest Classifier
Features: URL length, subdomains, parameters, JavaScript patterns, etc.
Training Data: Pre-trained on malicious/benign URL datasets
Use Cases
✔ Security Analysts – Quickly assess suspicious links in phishing emails
✔ IT Teams – Scan URLs before allowing access on corporate networks
✔ General Users – Verify links before clicking (e.g., social media, ads)
✔ Bug Bounty Hunters – Identify malicious domains during investigations
System Requirements
OS: Windows
Python: 3.7+
Internet Connection: Required for VirusTotal & threat intelligence lookups
Why Choose Cybertection URL Scanner?
✅ All-in-One Security Tool – Combines AI, WHOIS, and VirusTotal in one interface
✅ Real-Time Detection – Identifies threats before they cause harm
✅ Open & Extensible – Modify or enhance the AI model for custom use cases
✅ User Privacy – No data logging; scans are performed locally
Get Started Now!
Scan URLs with confidence using Cybertection URL Scanner v2.0 – your AI-powered shield against malicious links.
🔒 Stay Safe. Scan Before You Click.