FuzzuTech Projects

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this tutorial, we will build a powerful Python LinkShield AI – Social Media Link Safety Scanner using Python and CustomTkinter. This modern cybersecurity desktop application allows users to scan suspicious URLs before opening them. The software expands shortened links, detects hidden redirects, verifies SSL certificates, analyzes domains, checks DNS records, performs WHOIS lookups, calculates an intelligent AI-powered risk score, and helps identify phishing websites before they can steal personal information. The application includes a premium glassmorphism dashboard, animated cybersecurity interface, URL expansion engine, redirect chain visualization, SSL validation, IP information lookup, domain age analysis, suspicious keyword detection, homograph attack detection, phishing risk analysis, scan history management, report generation, QR code URL scanning, multi-threaded scanning engine, and a beautiful recording-friendly 9:1...

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this complete Python cybersecurity tutorial, we will build an AI Phishing Detector GUI, a modern desktop security application using Python and CustomTkinter. The AI Phishing Detector allows users to enter suspicious URLs, analyze common phishing indicators, calculate a phishing risk score, classify links as Safe, Suspicious, or Dangerous, view detailed security analysis reports, maintain scan history, and export security reports. The application performs heuristic and rule-based URL analysis using HTTPS detection, IP address detection, URL length analysis, suspicious keyword detection, URL shortener identification, punycode detection, suspicious domain extension analysis, excessive subdomain detection, encoded character analysis, unusual query parameter detection, and redirection pattern checks. This Python cybersecurity project is perfect for learning Python GUI development, CustomTkinter desktop application developme...

  Demo : Click Video 👇👇👇 🌟 Features Section: Built with Python + Tkinter GUI Uses AI techniques to detect suspicious content Analyzes .eml files offline Real-time phishing alert system Beginner-friendly GUI Ideal for students, cybersecurity learners, and tech lovers Code : import tkinter as tk from tkinter import filedialog, messagebox from tkinter import ttk import email from email import policy from email.parser import BytesParser import re def analyze_email(file_path):     with open(file_path, 'rb') as f:         msg = BytesParser(policy=policy.default).parse(f)     subject = msg['subject'] or ""     from_addr = msg['from'] or ""     body = msg.get_body(preferencelist=('plain')).get_content() if msg.get_body(preferencelist=('plain')) else ""          score = 0     if re.search(r'urgent|immediate action required', subject, re.IGNORECASE):      ...