Python Hacking | Real Ethical Hacking with Python | PYCEH+
Unlock the Real power of Python for hacking. Manipulate MAC addresses, execute MiTM attacks, develop RAT | PYCEH Hacking
What you'll learn
- 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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