EzpzShell = "Easy Peasy Shell"

EzpzShell GitHub: https://github.com/H0j3n/EzpzShell

WHAT IS EzpzShell?

EzpzShell is a Python script that helps to streamline the revshell payload and listener creation process for ethical hackers, pentesters, and CTF gamers.

There are many file types available, and it outputs several different payload options to choose from, letting you pick the most efficient option for your specific use case.

Today I’ll guide you through the installation and setup of EzpzShell.py on Kali Linux in a virtual hacking lab setup.

Recommended: How I Set Up My Virtual Hacking Laboratory for Safe and Legal Penetration Testing

INSTALLATION

We’ll need to temporarily switch the internet setting on our attack machine (Kali) to “bridged adapter”. This will create an IP for our virtual machine as if it was a physical machine on our own network.

After switching the setting, we boot up Kali and grab the Git repo for EzpzShell.py.

Now that we have installed EzpzShell.py on our Kali VM, let’s shut it down and switch the network setting back to “host-only adapter”.

This will switch the internet off again and put the attack box back into the hacking lab network.

CREATE A BASH ALIAS

To simplify the command (python3 ~/EzpzShell.py) into a one-word command we can add the following line to a new file .bash_aliases

Next, let’s run the following command to make the bash alias permanent.

source ~/.bashrc

Now we can easily run EzPzShell.py from any directory on Kali with the command:

ezpz

EXAMPLE OF A REVERSHELL EZPZSHELL ON OUR VIRTUAL HACKINGLAB

We’ll run the command “ezpz 192.168.60.4 8888 py” to see a list of reverse shell payloads.

This is quicker than poking around the web for the right kind of shell, and it is also super handy that the listener is automatically started up and set to receive the revshell.

Let’s use the first payload, the python script:

After copying and pasting this into a new shell.py file on the target machine, we can trigger the revshell by running the program on our target machine:

python shell.py

And we catch it with EzPzShell immediately on our Kali attack machine!

FINAL THOUGHTS

As you can see, EzPzShell is a versatile Python script for reverse shell payload creation and listener spawning.

It seamlessly sets up our listener to catch the revshell using the file type of our choice from a long list of options. I’ll be adding EzPzShell to my regular pen-testing toolkit and am confident that it will save me lots of time down the road in various CTF challenges and pentesting scenarios.

Lookout for EzpzShell in future hacking tutorial videos.

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Python is one of the most powerful and versatile programming languages available today. It is used in multiple fields, including web development, data science, artificial intelligence, and more.

As a result, Python practitioners need to have a broad range of skills to be successful. Here, we will discuss the top 10 skills to learn as a Python practitioner.

Note that I focused only on coding-related skills, not on soft skills such as communication or “agile software development“. These are vital but not part of this article.

Skill #1: Object-Oriented Programming (OOP)

Object-Oriented Programming (OOP) is a programming paradigm that uses objects and classes to organize and manage code.

Recommended: Python Classes — An Introduction

OOP is a fundamental skill for Python practitioners, as it allows for the creation of efficient, robust, and reusable code. To be an effective Python programmer, you must understand the principles of OOP and be able to apply them in your code.

Specific subskills to master:

• Classes
• Objects
• Inheritance
• Polymorphism
• Abstraction
• Encapsulation
• Modularity

Skill #2: Data Structures and Algorithms

Data Structures and Algorithms are essential for any programmer. Data Structures are collections of data that are organized in a specific way, such as an array or linked list. Algorithms are sets of instructions used to solve specific problems. Knowing how to work with and optimize data structures and algorithms are essential for any Python practitioner.

Specific subskills to master:

• Lists
• Stacks
• Queues
• Trees
• Graphs
• Sorting
• Searching Algorithms

Skill #3: Web Development

Web Development is the process of building, creating, and maintaining websites and web applications. Python is a popular choice for web development, as it is relatively easy to learn and offers a wide range of tools and frameworks. Developing web applications with Python is a must-have skill for Python practitioners.

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Specific subskills to master:

• HTML
• CSS
• JavaScript
• jQuery
• Ajax
• Node.js
• React
• Angular

Skill #4: Machine Learning (ML)

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables machines to learn from data and make predictions. Python has become the go-to language for ML due to its rich and powerful libraries. To be successful in ML, Python practitioners must understand the fundamentals of ML and be able to work with ML libraries and frameworks.

Specific subskills to master:

• Scikit-Learn
• TensorFlow
• Keras
• PyTorch
• NumPy
• Pandas

Skill #5: Data Analysis

Data Analysis is the process of gathering, cleaning, and interpreting data to generate insights and inform decisions. Python is an excellent language for data analysis due to its powerful libraries and tools. Knowing how to work with data in Python is an essential skill for any Python practitioner.

Specific subskills to master:

• Pandas
• NumPy
• Matplotlib
• Seaborn
• SciPy
• Jupyter Notebook

Skill #6: Automation

Automation is the process of using programming to automate mundane or repetitive tasks. Python is a popular choice for automation due to its easy-to-learn syntax and powerful libraries. Knowing how to use Python for automation can save time and allow for more efficient workflows.

Specific subskills to master:

• Bash
• Ansible
• Puppet
• Chef

Skill #7: GUI Development

GUI Development is the process of creating graphical user interfaces (GUIs) for applications. Python offers a wide range of GUI development frameworks and libraries, making it an excellent choice for GUI development. To be successful in GUI development, Python practitioners must know how to work with GUI frameworks and libraries.

Specific subskills to master:

• Tkinter
• PyQt
• PyGTK
• wxPython
• PyGUI

Skill #8: Web Scraping

Web Scraping is the process of extracting data from websites. Python is an excellent language for web scraping due to its powerful libraries and tools. Knowing how to scrape websites using Python is an essential skill for any Python practitioner.

Specific subskills to master:

• BeautifulSoup
• Scrapy
• Selenium

Skill #9: Scripting

Scripting is the process of writing scripts to automate mundane or repetitive tasks. Python is a popular language for scripting due to its easy-to-learn syntax and powerful libraries. Knowing how to script in Python can save time and allow for more efficient workflows.

Specific subskills to master:

• Bash
• Python One-Liners
• Ruby
• PowerShell

Skill #10: Data Visualization

Data Visualization is the process of creating visual representations of data. Python offers a wide range of data visualization libraries and tools, making it an excellent choice for data visualization. Knowing how to create effective visualizations with Python is an essential skill for any Python practitioner.

Specific subskills to master:

• Matplotlib
• Seaborn
• ggplot2
• Bokeh
• Plotly
• Dash

Further Learning: For a complete guide on how to build your beautiful dashboard app in pure Python, check out our best-selling book Python Dash with San Francisco Based publisher NoStarch.

Conclusion

In conclusion, the top 10 skills to learn as a Python practitioner are object-oriented programming, data structures and algorithms, web development, machine learning, data analysis, automation, GUI development, web scraping, scripting, and data visualization.

Each of these skills is essential for success as a Python practitioner and can help you create powerful and efficient applications.

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