Course Description


DARK WEB FORENSICS DEEP DIVE is a course run by Study 365, Cavan. It is a 'Online Learning' course . For more information about DARK WEB FORENSICS DEEP DIVE at Study 365, please review the details below.


If you’ve always been interested in cyber-related crimes, here’s a great opportunity to delve deep into the dark web and learn exactly how it works, and what investigative techniques are used to expose cyber-crimes. The Dark Web Forensics Deep Dive workshop is designed to teach you all about the dark web and how it works. It is a step by step process of how to conduct investigations in the dark web. It is a hands-on and practical course that will teach you how to identify what is relevant and then investigate it.  The course is comprehensive and will teach you the tools used, an overview of existing markets, all about breaching markets and crawling the web.

The course is extensive and will feature a range of key modules such as TOR, drug markets and financial crimes, specific guidance and technical instructions on investigative techniques and how to create a safe and secure identity for investigation. Each module is discussed thoroughly to ensure learners gain an in-depth understanding of the subject matter.

The Dark Web Forensics Deep Dive course is highly beneficial to anyone aspiring or already employed in the cyber-security industry. Getting qualified will further improve your opportunities of career progression, and having this certificate on your resume will demonstrate to employers that you have expanded your skills and expertise in the area.

1: Technical Background
Exit nodes
2: Tour of Markets
Drug markets
Financial crimes
Deviant markets
Terrorist markets
3: Investigative Techniques
Step by step process
Specific guidance
Tor Crawlers
Keeping your identity safe and secure

What will I Learn?

  • Gain a clear understanding of dark web
  • Learn about the technologies involved in dark web
  • Learn how to create an identity for investigation
  • Learn about vulnerability when scanning the dark web
  • Understand search methods

Who is it aimed at?

  • Forensic Investigators
  • Cyber-Security Professionals
  • Cyber-Crime Investigators
  • Anyone interested in enhancing their knowledge in cyber-related crimes

Method of Assessment

At the end of the course learners will also take an online multiple choice questions assessment test. This online multiple choice questions assessment test is marked automatically so that you will receive an instant grade and know whether you have passed the course.


Learners who successfully complete the course will be awarded the Dark Web Forensics Deep Dive Certificate.

Awarding Body

EC-Council is a global leader in creating information security trainings and certification programmes. EC-Council operates in 145 countries and is widely recognised for developing Certified Ethical Hacker and Certified Security Analyst amongst a range of courses and programmes. They are proud to have trained information security professionals globally and influenced the mindset of organisations around the world. Their primary goal is to certify individuals and organisations in information security skills.

The DARK WEB FORENSICS DEEP DIVE course at Study 365 is listed in's national courses finder.
Training ProviderStudy 365
Course LocationCavan
Course TypeOnline Learning
Course Fee609
Entry RequirementsThis course is available to all students, of all academic backgrounds. However, a sound educational background would be an advantage. Learners should be ages 18 or over to undertake the qualification. Basic understanding of English language, literacy, numeracy and ICT are required to attend this course.
Carear PathForensic Investigator Cyber-Security Professionals
For more information about Study 365, please visit our College page on by clicking here.

Course Provider

Study 365

New Broad Street House, 35 New Broad Street, London. EC2M 1NH, United Kingdom, Cavan, United Kingdom

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Study 365
New Broad Street House, 35 New Broad Street, London. EC2M 1NH, United Kingdom
United Kingdom
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