Hacking networks with Python // Creating malicious packets and breaking TCP/IP rules
Published April 22, 2022
At a glance
Views
126,606
Likes
6,096
Comments
218
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Learn the basics of how to use Python and Scapy to create malicious or dodgy packets and send those into networks. Who knows what's going to happen when packets are created like these. Also learn that what they teach you about the TCP/IP model in the CCNA course isn't necessarily true in the real world. You need to l…
- Published
- April 22, 2022
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Hacking networks with Python // Creating malicious packets and breaking TCP/IP rules is doing
It has 126K views in total. It ranks #11,778,638 among tracked YouTube videos by views.
Key facts about Hacking networks with Python // Creating malicious packets and breaking TCP/IP rules
- Total views
- 126K
- Total likes
- 6.09K
- Total comments
- 218
- Published
- April 22, 2022
- Global rank by views
- #11,778,638
Frequently asked questions
How many views does Hacking networks with Python // Creating malicious packets and breaking TCP/IP rules have?
Hacking networks with Python // Creating malicious packets and breaking TCP/IP rules has 126,606 views, 6,096 likes and 218 comments, ranking #11,778,638 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.