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Python for Penetration Tester Course Overview

Python for Penetration Tester Course Overview

The Python for Penetration Tester course is a specialized training program designed to equip cybersecurity analysts and penetration testers with the necessary Python programming skills to enhance their toolkit. Python is a versatile language that simplifies many tasks in cybersecurity, such as Automating repetitive tasks, scripting to aid in penetration tests, and Developing custom tools for vulnerability assessment.

Throughout the course, learners will delve into various modules, starting with an Introduction to the Python programming language and its application in cybersecurity. The Why Cybersecurity Analysts and Penetration Testers Need Python module emphasizes the importance of Python in the field, highlighting its efficiency and effectiveness.

As the course progresses, students will undergo a Review of the Typical Pen Testing Process and learn how to Combine Python Modules for Active Info Gathering. They'll gain hands-on experience by Writing a Keylogger in Python, Brute Forcing ZIP Passwords with Python, and Gathering Information such as banners, hostnames, and IP addresses.

Modules like Building a Basic Port Scanner using NMAP in Python, The Socket Module for Network Communication, and The Scapy Module for Network Traffic Sniffing and Manipulation cover essential network and traffic analysis tools. Learners will also tackle Attacking Web Forms, Discovering Subdomains, and Cracking Hashes with Python, as well as Spoofing MAC Addresses and Finding Hidden Wireless Networks.

By the end of this course, participants will have a comprehensive understanding of how Python can be leveraged in various cybersecurity scenarios, making them more proficient in conducting penetration tests and securing networks.

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  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Target Audience for Python for Penetration Tester

The "Python for Penetration Tester" course equips cybersecurity professionals with Python skills for ethical hacking and Network security assessments.


  • Information Security Analysts
  • Penetration Testers
  • Ethical Hackers
  • Network Security Engineers
  • Cybersecurity Consultants
  • Systems Security Administrators
  • IT Professionals aspiring to move into cybersecurity roles
  • Computer Forensics Analysts
  • Vulnerability Assessment Analysts
  • Security Operations Center (SOC) staff
  • Incident Response Team members
  • Cybersecurity Enthusiasts with a technical background


Learning Objectives - What you will Learn in this Python for Penetration Tester?

  1. This Python for Penetration Testers course equips students with Python programming skills tailored for cybersecurity and penetration testing applications.

  2. Learning objectives and outcomes:

  • Understand the role of Python in cybersecurity and penetration testing workflows.
  • Gain knowledge of the penetration testing process and how Python streamlines various tasks.
  • Develop skills in active information gathering using Python modules.
  • Learn to write a Python-based keylogger for capturing keystrokes.
  • Master brute-forcing techniques for ZIP passwords using Python scripts.
  • Acquire the ability to perform banner grabbing and conduct hostname and IP lookups with Python.
  • Build a basic port scanner with Python integrating NMAP functionality.
  • Create Python scripts to capture screenshots for reconnaissance purposes.
  • Utilize the socket module for crafting a TCP server-client model in Python.
  • Employ the Scapy module for sniffing and manipulating network traffic.
  • Attack web forms and automate interactions using the requests library in Python.
  • Discover subdomains programmatically with Python to uncover potential attack vectors.
  • Crack various cryptographic hashes using Python and the hashlib module.
  • Spoof MAC addresses using Python to anonymize network hardware.
  • Detect hidden wireless networks with Python, enhancing wireless security assessment capabilities.

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