2,462
likes
158
comments
daily view 0
monthly view 0
Live Analytics
Comments 0
I Built a Python Packet Sniffer… This Is What Hackers See on Public WiFi 💀🔥 Analytics Table
Income Estimates for I Built a Python Packet Sniffer… This Is What Hackers See on Public WiFi 💀🔥
Based on this YouTube video's total view count of 52.2K views and industry-standard rates, the estimated total earning is $37 - $105 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About I Built a Python Packet Sniffer… This Is What Hackers See on Public WiFi 💀🔥
Explore I Built a Python Packet Sniffer… This Is What Hackers See on Public WiFi 💀🔥 with 52,297 views, 2,462 likes, and 158 comments. Experience the impact of this video content that has captured audience attention.
Public WiFi is everywhere — hotels, coffee shops, airports — and most of us connect without thinking twice. But what can someone actually see when you're connected to the same WiFi network? 🤔 In this video, we build a real Python Packet Sniffer from scratch using Flask and Scapy — and demonstrate exactly how a simple Man-in-the-Middle attack can intercept usernames, passwords, device information, and even credit card data. ☠️💳 No advanced hacking setup. No black magic. Just Python, two devices and a shared WiFi network. Want to learn cybersecurity the right way — legally and safely? 🚨 Start learning cyber security for FREE with TryHackMe: https://tryhackme.com/Python 👉 Use my code "PYTHON25" to get 25% off on annual subscription! Meanwhile, in this video we will simulate a malicious hotel WiFi login page and show how easily sensitive data can be exposed. We will sniff on our own app, running on our own devices, connected to our own WiFi network. But I must warn you, by the end of this video, you will never trust public WiFi again! 🙃 ⏰ Time Stamps ⏰ 00:00 Intro - Why Public WiFi Is Dangerous 00:55 What Is a Man-in-the-Middle Attack? 02:03 Building Fake WiFi Login Page (Flask) 03:22 Running the App on Windows 06:19 Exposing the App to the Network (0.0.0.0) 07:11 Installing Npcap 07:29 Writing the Packet Sniffer (Scapy) 10:48 Accessing the App from the Phone (Same Wi-Fi + IP Address) 11:25 Improving the Login Page UI 12:05 Capturing Username & Password via Sniffer Script 13:34 Breaking into Systems Safely with TryHackMe 15:46 Malicious WiFi Upgrade Page Demo 16:53 Bypassing Browser Security Warnings 17:41 The HTTPS Lock Rule (Major Red Flag) 18:21 Bloopers 🧠 In this video you will learn: • How HTTP traffic can be intercepted • Why unsecured websites are dangerous • How attackers capture form submissions • What “Raw” packet data actually looks like • How to filter traffic using Scapy • Why HTTPS and the lock icon actually matter 🛠 Technologies Used: • Python 3.12 • Flask • Scapy • Npcap • Anaconda • Windows 11 ⚠️ IMPORTANT NOTICE ⚠️ This video is meant for educational purposes only. Never intercept traffic on networks you don’t own or have explicit permission to test. 📚 Further Learning Resources ⭐ Flask QuickStart For Beginners: https://youtu.be/6plVs_ytIH8 ⭐ Anaconda For Beginners: https://youtu.be/MUZtVEDKXsk ⭐ If Name Equals Main - What Does it Mean: https://youtu.be/NB5LGzmSiCs (GitHub Repo Link + Npcap Link + Flask Documentation Link in pinned comment.) #Python #CyberSecurity #PythonProgramming
About YouTube Real-Time View Count
With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.
Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.
Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.
Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.
Embed Widget
Parameters:
fullscreen=true- Fullscreen countergraph=true- Live graph chartcounter=0/1/2- Select counter (0=likes, 1=views, 2=comments)
URL
Click to copy the embed URL to your clipboard

