Unlock the Real power of Python for hacking. Manipulate MAC addresses, execute MiTM attacks, develop RAT | PYCEH Hacking
What you will learn
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Python programming fundamentals for ethical hacking
Executing the client and server applications on Windows and Kali Linux
Executing Man-in-the-Middle attacks
Creating a pentest RAT malware with server and client components
Coding client-side for remote access
Developing the server-side for remote access
Understanding sockets and their functions in Python
Network security and protocols
Explaining server-side implementation line by line
Encryption, cryptography, and steganography.
Exploring remote access techniques
Spoofing routers and targets simultaneously
Intercepting network traffic and hacking login credentials
Web application security and vulnerabilities
Developing a client-side application
Manipulating MAC addresses using Python
Developing a Python MAC changer program
Creating a network scanner from scratch
Planning and developing your own MiTM program
Understanding ARP and ARP table
How to set up a Python development environment.
The fundamental syntax and structure of Python.
How to work with variables and data types.
How to use operators for mathematical and logical operations.
Control structures such as if-else statements and loops.
How to write and call functions in Python.
How to manipulate strings and work with string methods.
How to handle user input and output data.
Lists and their operations, including indexing and slicing.
Tuples and their immutability in Python.
Dictionaries and their key-value pair structure.
File handling and reading from/writing to files.
Exception handling to manage errors in your code.
How to work with modules and import external code.
Understanding and utilizing libraries in Python.
Regular expressions for pattern matching and data validation.
How to write and run Python scripts from the command line.
Basic concepts of object-oriented programming (OOP).
Creating classes and objects in Python.
Encapsulation, inheritance, and polymorphism in OOP.
Using built-in Python modules for common tasks.
How to handle dates and time in Python.
Working with sets and performing set operations.
List comprehensions for concise and efficient code.
Lambda functions and their use cases.
Understanding and utilizing generators and iterators.
Introduction to recursion and recursive functions.
How to install and work with third-party packages using pip.
Basics of working with databases in Python.
Best practices and coding conventions for writing clean and readable code.
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