Python Digital Forensics

Use common Python libraries and tools to excel in network and host digital forensics
4.30 (32 reviews)
Udemy
platform
English
language
Web Development
category
Python Digital Forensics
459
students
3 hours
content
Oct 2018
last update
$29.99
regular price

Why take this course?


Unlock the Secrets of Digital Forensics with Python: A Comprehensive Online Course for Cyber Investigators 🔍✨

Course Title: Python Digital Forensics

Master network, host, and memory analysis using Python libraries and tools!


Course Overview:

Python stands as a powerhouse in the realm of cyber investigations and forensic analysis. With its vast ecosystem of libraries and tools, it's an ideal platform for delving into the intricacies of digital forensics. In this course, you'll harness Python's capabilities to conduct thorough and efficient investigations across network traffic, host systems, and memory analysis.

What You'll Learn:

🚀 Network Forensics:

  • Reading, sorting, and sniffing raw packets.
  • Analyzing network traffic to aid in host analysis.
  • Utilizing Python for efficient network investigations in both Windows and GNU/Linux environments.

💻 Host Analysis:

  • Gaining insights into data within PE (Portable Executable) and ELF (Executable and Linkable Format) binaries.
  • Identifying patterns, anomalies, and malicious activities on host systems.

⚗️ Memory Analysis:

  • Obtaining and analyzing volatile memory images to reveal what's actively running on a system.
  • Leveraging Python to extract valuable information from system memory during an investigation.

🧠 Thinking Like an Attacker:

  • Enumeration, exploitation, and data exfiltration tactics.
  • Applying the attacker mindset to enhance your forensic skills.
  • Tackling complex, real-world digital forensics challenges.

Skills You'll Gain:

  • Network Forensics Techniques: Learn to dissect network packets and traffic data using Python libraries.
  • Host Analysis Tools: Understand how to use Python for in-depth host analysis, including file and system inspection.
  • Memory Analysis Mastery: Develop the ability to analyze volatile memory with Python, providing critical insights during an investigation.
  • Python Programming Proficiency: Improve your Python programming skills and apply them to forensic scenarios.

Why This Course?

This course is designed for cybersecurity enthusiasts, professionals, and anyone interested in the field of digital forensics. By the end of this course, you'll not only have a comprehensive understanding of using Python in digital forensics but also be equipped to tackle a variety of challenging problems with confidence.

About the Author:

Daryl Bennett is not just an instructor; he's a seasoned Cyberspace Threat Emulation team manager in the United States Air Force, where his expertise has been pivotal in safeguarding network infrastructures. With over 5 years of experience in the open-source community and a proven track record as a development specialist across various domains, Daryl brings real-world insights and practical knowledge to this course.


Embark on your journey into the world of Python Digital Forensics today! 🕵️‍♂️🚀

Join us and learn how to leverage the power of Python to conduct meticulous digital forensics investigations, think like an attacker, and protect cyberspace. Sign up now and transform your skills with Packt Publishing's comprehensive online course! 🛡️💻

Course Gallery

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1947536
udemy ID
04/10/2018
course created date
03/07/2022
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