Python for Ethical Hacking and Penetration Testing

Learn Python basics, install Python 3.11.4, and set up Kali Linux in VirtualBox to build ethical hacking programs with Visual Studio Code or PyCharm.

Install VirtualBox, set up Kali Linux and Windows VMs, allocate memory, create virtual disks, attach disk images, and log in to Kali to begin practice.

install Visual Studio Code on Kali Linux in a VirtualBox setup, with shared folders and code on the desktop, plus Python extension and Code Runner extension.

Master basic Kali Linux commands, including sudo to switch to root, PWD, ls, and cd to navigate, and apt-get to install apps like Terminator; note this Python course.

Master navigating the command line across Windows and macOS/Linux by locating your current directory, listing files, changing directories, and clearing the screen using cd, dir, ls, pwd, and clear.

Learn Python basics, install Python 3.11.4, and explore packages to build your own ethical hacking tools, using Visual Studio Code or PyCharm on a Kali Linux virtual machine via VirtualBox.

Set up virtual machines with VirtualBox, download Kali Linux and Windows images, create and configure virtual machines, and boot into Kali with default credentials for hands-on testing.

Learn to install Visual Studio Code on Kali Linux within a virtual lab. Set up shared folders and NAT networking, and install Python extension and Code Runner to run code.

Discover methods to run python code across text editors, IDEs, and notebook environments, including VS Code, Sublime Text, Atom, and Anaconda notebooks.

Master basic Kali Linux commands, including sudo, root, exit, and navigation with PWD, ls, and cd, plus apt-get for installation under proper permissions.

Explore Python numbers by learning integer and floating point types, perform basic arithmetic, use print statements, and understand order of operations and variable storage.

Explore how variables store and reuse data, assignments and dynamic typing. Learn naming rules, reassignment, and how to check a variable's type with examples.

Master zero-based indexing and string slicing in Python, including start, stop, and step semantics, and learn to print text with escape sequences like newline and tab.

Explore Python string methods such as upper, lower, strip, replace, and split to manipulate strings, convert case, remove whitespace, and split into a list.

Learn to measure string length with the len function, concatenate strings with the plus operator to form phrases like 'hello world', and repeat strings using multiplication.

Learn how Python lists store ordered, heterogeneous data, use indexing and slicing to access elements, measure length, concatenate, mutate, and apply append, pop, and sort operations.

Learn how to create and use dictionaries in Python, an unordered mapping of keys and values, access via keys, and nested structures like lists and other dictionaries for fast lookups.

Learn how to use Python tuples as immutable, memory-efficient sequences. Create, access by index and slicing, unpack and pack, and apply tuple methods like count and index, including nested tuples.

Explore Python sets as unordered, unique-element collections created with curly braces or the set constructor, learn adding and removing elements, and perform operations like intersection and difference.

Master Python boolean values, true or false, their case sensitivity, and how and, or, not drive decisions in if statements and loops. Explore comparison operators and truthy, falsy, and None.

Learn Python file input output by opening, reading, writing, and appending text and binary files using with statements; handle common errors and work with CSV reader and writer.

Explore Python data structures and fundamentals through structured assessments on numbers, strings, lists, tuples, dictionaries, sets, and boolean operations, with hands-on coding tasks.

Master Python data structures through hands-on assessment solutions, creating and modifying lists, dictionaries, and tuples, with nested access, sorting, merging, and converting between types.

Explores Python sets and boolean logics, showing how to remove duplicates by converting lists to sets, perform union, intersection, and difference, discard elements, and generate unique random numbers with random.sample.

Learn how to use for loops in python to iterate strings, lists, and dictionaries, apply conditions, accumulate totals, and unpack tuples with enumerate for index access.

Explore how while loops in Python execute code while conditions are true, prevent infinite loops with increments, and control flow with else, break, continue, and pass.

Explore built-in functions and operator keywords in Python, including range, enumerate, zip, in, min, max, random, and input, to write efficient, looping, and interactive code.

Explore list comprehensions in Python as a concise alternative to for loops and append. See how they handle strings, ranges, squares, conditional filtering, and celsius to fahrenheit conversions.

Explore Python comparison operators and how they return boolean values, including equality, inequality, greater than and less than, and their behavior with numbers, strings, and mixed data types.

Leverage and, or, and not to chain conditions in Python, using variables and parentheses to improve readability, flexibility, and efficient boolean logic.

Explore built-in and user-defined methods in Python, discover list methods like append, pop, and insert, and learn to find them with dot completion, dir, and help in a notebook.

Explore how functions in Python enable clean, reusable, and modular code for ethical hacking and penetration testing, showing how to define, call, pass parameters, and return values.

Define and call Python functions in a Jupyter notebook with def, parameters, and indentation; use default values, modulo for even numbers, and distinguish print from return.

Explore how functions can return multiple values using tuple unpacking, and demonstrate this in loops over stock prices and employee work hours.

Learn how Python's *args and **kwargs accept arbitrary positional and keyword arguments, packing into a tuple and dictionary to build flexible, reusable functions used in frameworks like Flask and Django.

Explore Python's variable scope via the LEB rule—local, enclosing, global, and built-in. Learn how globals are accessed and modified with the global keyword, and why name errors occur.

Implement a Python TCP client using a socket with AF_INET and SOCK_STREAM, connect to a server on port 5000, send and receive 1024-byte encoded messages, then close.

Learn to use the HTTP client to perform a get request, read the response status and headers, and manage the connection, within the four HTTP packages.

Learn http post methods by setting headers, content type, and json data, sending payloads with json dumps, and reading the response.

Learn to run a python http.server to share files over a local network by serving a directory listing on a port above 1024, enabling others to access and download data.

Learn how to download files from a remote server using Python's FTP library, including logging in, navigating directories, listing and retrieving files, and handling errors.

Learn to send commands to a remote server using python, including ftp login, sending cmd like pwd and cwd, listing directories, and handling command outcomes.

Learn to encrypt and decrypt files using cryptography, encrypt a text file with a 16-digit password in cfb mode, handling an iv, and save as an encrypted file.

Learn to decrypt an encrypted binary file by reading the data, extracting the iv and cipher text, creating an aes-cbc cipher, and writing the decrypted data to a new file.

Learn to hash text with python's hashlib, exploring sha1, md5, and sha256, converting hash objects to hex digests and comparing results from user input.

Write a Python program using the zipfile module to crack a password-protected zip file by testing a password list, reporting the discovered password and its line.

Learn to separate passwords and their hashes from a single file into two files using pandas, by naming columns, selecting the password column, and saving both outputs as CSV.

Generate sha-256 hashes from a password list by reading lines, encoding them, and writing passwords with their hashes to a file.

Learn to build a python program with hashlib to reverse hashed passwords by comparing an input hash to a password list using sha256, sha1, or md5.

Learn how Python accesses Windows password hashes stored in system files and demonstrates hash extraction for password cracking, using Kali Linux and the rockyou.txt password list.

Create a Python script that uses the keyboard module to automate Windows commands, open the run dialog, navigate to the desktop, and copy Notepad.exe into the Python folder.

Learn to track a phone location with python by using a geocoding api key to fetch country and service provider, then visualize coordinates on a folium map.

Build a Scapy-based network scanner in Python to scan the connected network using ARP and ether, listing each device's IP and MAC.

Learn how networks enable remote access to devices on the same network by building a Python-based telnet tool, exploring IP addresses, network ranges, and virtualized systems.

Explore telnet as a text-based remote access protocol to a server command-line interface, and see a hands-on demo with a Metasploitable virtual machine and Python scripting, highlighting plain-text credential risks.

Use the telnet library in Python to access a remote machine with host, port, username, and password. Send commands such as uname -a and who, print results, then exit.

install and start ssh on Linux, enable it to boot automatically, then access a remote Kali Linux machine from the host using ssh to demonstrate encrypted remote access.

Learn to open an SSH session from a Python script, use subprocess to run a remote command on a Kali Linux host, and capture or display stdout and errors.