Python Digital Forensics
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Use common Python libraries and tools to excel in network and host digital forensics.Python is uniquely positioned as a programming language to perform cyber investigations and perform forensics analysis. Unleash the power of Python by using popular libraries and Python tools to help you create efficient and thorough forensics investigations. This course will walk you through digital forensics on network traffic, host analysis, and memory analysis. The course starts with network forensics, an important aspect of any investigation. You will learn to read, sort, and sniff raw packets and also analyze network traffic. These techniques will help you drive your host analysis. You will learn about tools you'll need to perform a complete investigation with the utmost efficiency in both Windows and GNU/Linux environments with Python. Next, you will learn more advanced topics such as viewing data in PE and ELF binaries. It's vital to analyze volatile memory during an investigation as it provides details about what is actually running on a given system. So, you will learn the best tools to obtain and analyze volatile memory images. Finally, you will learn how to use Python in order to think like an attacker. You will complete enumeration, exploitation, and data exfiltration. By the end of the course, you will be able to make the most of Python processes and tackle varied, challenging, forensics-related problems. So, grab this course and think like an attacker! The code bundle for this course is available at About The Author
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Daryl Bennett is a manager of a Cyberspace Threat Emulation team with the United States Air Force, where he leads military and civilian members in the employment and execution of offensive security on order to audit the security of network infrastructures. He is a key operator, focusing on risk analysis and the overall security posture of cyberspace systems. Additionally, he has 5+ years' experience working in the open-source community
Facilities
Location
Start date
Start date
About this course
Think like an attacker and solve forensics issues with more efficiently
Learn network forensics to drive your host analysis
Investigate with the utmost efficiency in Windows and GNU/Linux environments
Learn advanced data-viewing topics in file analysis
Get the best tools to obtain and analyze volatile memory images
Use Python to complete enumeration, exploitation, and data exfiltration
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The average rating is higher than 3.7
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Subjects
- Object oriented training
- Windows
- Linux
- Object-oriented training
- Network
- GNU
- Design
- Systems
- Import
- Network Training
Course programme
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Learn to set up a Python virtual environment
- Learn to import packet capture
- Use Dshell decoders to fuller analyze automate network traffic
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with object-oriented notations
- Practice using the Scapy interactive interpreter
- Automate packet capture investigation through the Scapy interpreter
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Familiarize ourselves with common Python data structures
- Learn to import 3rd party modules into our own application
- Unleash the power of Python and Scapy by building our own application
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
- Further expand our application to import Impacket
- Decode raw packets using Impacket
- Get a better understanding of encapsulation and how Impacket handles data
Additional information
Python Digital Forensics