Cybersecurity with Python Training Course
Python is a high-level, versatile, and interpreted programming language known for its simplicity and readability. Among its many features, Python can be used to automate log analysis, perform packet analysis, conduct digital forensics tasks, and even explore offensive cybersecurity tactics in an ethical context.
This instructor-led, live training (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.
By the end of this training, participants will be able to:
- Use Python programming for defensive cybersecurity.
- Understand and use Python for ethical offensive techniques and digital forensics tasks.
- Recognize legal and ethical considerations surrounding offensive cybersecurity and vulnerability disclosure.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Overview of Python Programming
- Python and its role in cybersecurity
- Installing Python
- Setting up the development environment
- Python syntax, variables, data types, and basic I/O operations
- Functions, modules, and libraries
Basic and Advanced Python Programming Concepts
- Advanced data types
- Object-oriented programming (OOP) in Python
- Exception handling and error management
- File handling and manipulation
- Regular expressions for pattern matching
Defensive Cybersecurity with Python
- Automated log analysis using Python
- Packet analysis with Python
- Network traffic monitoring
- Building intrusion detection systems (IDS)
Digital Forensics with Python
- Introduction to digital forensics
- File system analysis with Python
- Memory analysis with Python
- Creating forensic scripts to automate common tasks
Offensive Cyber Techniques with Python
- Introduction to offensive cybersecurity and ethical considerations
- Writing Python scripts for penetration testing
- Brute force attacks and password cracking
- Exploiting vulnerabilities
- Creating simple command and control (C2) frameworks
Best Practices and Ethical Considerations
- Security and privacy considerations when working with sensitive data
- Legal and ethical implications of using Python for offensive purposes
- Responsible disclosure of vulnerabilities
- Code review and secure coding practices in Python
Summary and Next Steps
Requirements
- Basic understanding of cybersecurity concepts
- Knowledge of programming
Audience
- Developers
Open Training Courses require 5+ participants.
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Testimonials (5)
I learned a lot and gained knowledge can use at my work!
Artur - Akademia Lomzynska
Course - Active Directory for Admins
Scope of knowledge covered. Not everything was explained in depth, but that is probably a matter of time. The training lasts 3 days. During these 3 days, various topics were covered, which can be explored further after the training. The training was definitely beneficial. A lot of knowledge and topics were presented in an engaging way.
Pawel Sitarz - Icotera sp. z o.o.
Course - C/C++ Secure Coding
Machine Translated
It opens up a lot and gives lots of insight what security
Nolbabalo Tshotsho - Vodacom SA
Course - Advanced Java Security
This topic is better with F2F, but this online training is still handled well . The important thing is the trainees were able to have understanding of Hyperledger Indy
OMAR BIN MUSA - UNITAR International University
Course - Blockchain: Hyperledger Indy for Identity Management
I genuinely enjoyed the great information and content.
Dennis Barela
Course - OpenLDAP Workshop
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