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10 Python Cybersecurity Projects - Beginner To Advanced
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Improve your Python Cybersecurity skills by following along with 10 different Python project tutorials. Video links to each of the displayed projects can be found in the description.
Book - Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers:
1. Python Cybersecurity— Network Tracking using Wireshark and Google Maps.
Description: Dive into Network Traffic visualization using the Python programming language, Wireshark and Google Maps. This tutorial covers the implementation steps needed to take a file of network traffic and convert it into a visual presentation using Google Maps.
2. Python Cybersecurity - Nmap and Python scripting (Information Gathering)
Description: Learn how to use a Python3 Library for writting nmap scripts to analyse.
3. Python Cybersecurity For Beginners — Build Anonymous FTP Scanner
Description: Learn how to build a simple Python script that can be used to scan a FTP server for anonymous access, allowing general access to the servers archives of information.
4. Python Cybersecurity — How To Crack Passwords (Dictionary Attack)
Description: Learn how to build a simple Python script that can be used to Crack hashed Passwords also known as a dictionary attack.
5. Python Cybersecurity — Find Deleted Files
Description: Learn how to build a simple Python script that can be used to find deleted files on a given Operation System and sort them based on the user who deleted the files.
6. Python Cybersecurity — Zip File Password Cracker
Description: Learn how to develop a simple Zip File password cracker, which uses a password list to brute force the encrypted file also known as a dictionary attack.
7. Python Cybersecurity — Brute Force FTP
Description: Learn how to build a simple Python script that can be used to brute force a FTP user.
8.
Description: Learn how to build a simple Python script that can be used to scan for open ports on a network. This tutorial covers the implementation steps needed to build the script using Python Programming.
9. Spam Detection using Machine Learning
Description: Describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if the probability that a incoming spam mail is related to the total presence of the word “Free”, using Bayes’ theorem the word “Free” can be used to more accurately assess the probability of a mail being spam than can be done without knowledge of the words within the mail.
10. Python Algorithmic Trading In 8 Minutes 🔥 Fetch Stocks(Xpeng & Apple)
Description: Get started with financial stock analysis using the python programming language. In part 1 of this series we will fetch stock data from Xpeng and Apple and learn how to display these in a Jupyter Notebook using a Yahoo Finance Library.
0:00 Network Tracking using Wireshark
0:28 Nmap (Information Gathering)
0:46 Anonymous FTP Scanner
1:14 4. Password Cracker
1:40 Find Deleted Files
2:04 ZIP Password Cracker
2:40 7. Brute Force FTP
3:05 PortScanner
3:30 Spam Detection
3:59 Algorithm Trading
Improve your Python Cybersecurity skills by following along with 10 different Python project tutorials. Video links to each of the displayed projects can be found in the description.
Book - Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers:
1. Python Cybersecurity— Network Tracking using Wireshark and Google Maps.
Description: Dive into Network Traffic visualization using the Python programming language, Wireshark and Google Maps. This tutorial covers the implementation steps needed to take a file of network traffic and convert it into a visual presentation using Google Maps.
2. Python Cybersecurity - Nmap and Python scripting (Information Gathering)
Description: Learn how to use a Python3 Library for writting nmap scripts to analyse.
3. Python Cybersecurity For Beginners — Build Anonymous FTP Scanner
Description: Learn how to build a simple Python script that can be used to scan a FTP server for anonymous access, allowing general access to the servers archives of information.
4. Python Cybersecurity — How To Crack Passwords (Dictionary Attack)
Description: Learn how to build a simple Python script that can be used to Crack hashed Passwords also known as a dictionary attack.
5. Python Cybersecurity — Find Deleted Files
Description: Learn how to build a simple Python script that can be used to find deleted files on a given Operation System and sort them based on the user who deleted the files.
6. Python Cybersecurity — Zip File Password Cracker
Description: Learn how to develop a simple Zip File password cracker, which uses a password list to brute force the encrypted file also known as a dictionary attack.
7. Python Cybersecurity — Brute Force FTP
Description: Learn how to build a simple Python script that can be used to brute force a FTP user.
8.
Description: Learn how to build a simple Python script that can be used to scan for open ports on a network. This tutorial covers the implementation steps needed to build the script using Python Programming.
9. Spam Detection using Machine Learning
Description: Describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if the probability that a incoming spam mail is related to the total presence of the word “Free”, using Bayes’ theorem the word “Free” can be used to more accurately assess the probability of a mail being spam than can be done without knowledge of the words within the mail.
10. Python Algorithmic Trading In 8 Minutes 🔥 Fetch Stocks(Xpeng & Apple)
Description: Get started with financial stock analysis using the python programming language. In part 1 of this series we will fetch stock data from Xpeng and Apple and learn how to display these in a Jupyter Notebook using a Yahoo Finance Library.
0:00 Network Tracking using Wireshark
0:28 Nmap (Information Gathering)
0:46 Anonymous FTP Scanner
1:14 4. Password Cracker
1:40 Find Deleted Files
2:04 ZIP Password Cracker
2:40 7. Brute Force FTP
3:05 PortScanner
3:30 Spam Detection
3:59 Algorithm Trading
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