
Install Python and the PyCharm IDE by downloading Python from python.org and the free PyCharm Community Edition from JetBrains, then verify the installation and create a project.
Build a river shell in Python that uses a public website, like Google Doc, as a command channel, sending and retrieving commands and results without port forwarding.
Develop an extract command method that locates text using start and end indices with delimiter identifiers, extracts the command from a payload, and stores it for server execution.
Learn to parse attacker commands in Python by stripping whitespace, splitting tokens, and using the os module to change directory with cd, including dot dot back navigation.
Detects a download command, reads and base64-encodes the target file for sending to the attacker, and outlines an upload file workflow with a future send result method.
Develop a Python server command execution feature that imports a process module, uses check_output to run shell commands, captures results, and prepares to send back the results to the attacker.
Explore how to implement a send results feature in a reverse shell using Selenium-driven browser automation, including headless operation, interacting with Google Docs document, and encoding results for stealth.
Learn to run a Python program in a loop with sleep intervals and a try-except block to prevent crashes, enabling persistence and control via selenium and an imported server module.
Develop a Python listener class to capture user commands, format them with four percent signs and a dollar sign, and prepare sending to the server for the reverse shell.
Define a send_command function using selenium to write user commands into a Google Docs file, clear self.comment, and relay results back through the server for execution on the victim's machine.
Explore integrating artificial intelligence with a Python key logger to classify keystrokes and profile a victim, adopting an ethical hacking perspective from the hacker’s viewpoint.
Handle character and special keys with a try/except, map space and enter to readable representations, convert keys to strings for logging, and append input into a log to prevent crashes.
Implement threading with a timer to batch keystroke data in a keylogger, storing presses and printing the log at set intervals via a report finalize method.
Explore integrating AI with a keylogger to analyze keystrokes and profile targets using Python, Selenium, and AI tools like a reasoning module and Chat GPT for all.
Explore sending AI-analyzed keystroke reports to Google Docs using a sendResult function, with headless Chrome workflows and data classification for keylogger-based security testing.
Package a Python reverse shell into a single executable using auto-py-to-exe, hide the console, and customize with an icon for Windows deployment.
Explore how to build an advanced trojan horse by embedding files inside a single executable using base64 encoding. Learn how the approach packages payloads for extraction and execution.
Learn to package a Python script into a single executable and embed files to simulate a trojan for ethical hacking training, including PDF delivery and back-end server interactions.
This course is a hands-on, practical introduction to advanced malware concepts, taught strictly from an ethical hacking and defensive cybersecurity perspective. You will learn how modern threats communicate, execute commands, collect data, and package tools—so you can recognize, analyze, and defend against them in real-world environments.
Starting with environment setup, you will build multiple components using Python, progressively simulating how attackers may interact with compromised systems through public channels. Each step is explained in detail, with emphasis on secure coding practices, stability, and error handling.
You will explore how commands are received, validated, executed, and how results are returned. You will also learn how files are transferred and reconstructed using Base64 encoding, how keystroke data can be collected and analyzed, and how threading improves performance in monitoring applications.
Later sections examine how advanced threats are packaged and distributed by converting Python projects into executables, followed by a conceptual breakdown of advanced trojan architectures. These modules are designed to help you understand how such threats work internally—without promoting misuse.
The course concludes with guidance on Python fundamentals and clear direction on what skills and mindset are essential when learning ethical hacking and cybersecurity.
This course is for educational and defensive purposes only. All demonstrations are conducted in controlled environments.
What You’ll Learn
How command-and-control communication works in modern cyber threats
Extracting and validating commands from unstructured data
Implementing directory changes, file uploads, and command execution safely
Building reliable programs with loops and robust error handling
Writing modular Python functions for sending, receiving, and printing results
Reconstructing transmitted files using Base64 encoding
Understanding how keystroke data is collected and analyzed
Using threading to improve performance and stability
Applying AI techniques to analyze collected security data
Converting Python projects into executables for threat analysis
Understanding advanced trojan architectures from a defensive perspective