Fraud Detection & Online Abuse
How online scams, account abuse and payment fraud work, and how to detect, investigate and report them.
- 18 hours estimated study
- 5 modules · 16 lessons
- 5 assessments
- Instructor to be announced
About this course
A practical course on the fraud and abuse patterns that AbuseOne researchers encounter every day. You will study how phishing, investment scams, marketplace fraud and account takeover operate, the signals that reveal them, and how to build cases that platforms, banks and authorities can act on.
What you will learn
- Describe the lifecycle of common online scams
- Identify technical and behavioural fraud signals
- Investigate phishing kits, scam sites and mule networks
- Assess impact and prioritise cases
- Report abuse effectively to platforms, registrars and authorities
Curriculum
Lesson content is being written and reviewed. Lessons unlock as they are published.
Module 1 · 55 min
The fraud landscape
Who commits online fraud, why, and how the ecosystem is organised.
- Fraud economics and actorsComing soon
- Scam typologiesComing soon
- Module 1 knowledge checkComing soon
Module 2 · 1 h
Phishing and impersonation
Brand impersonation, credential phishing and phishing kits.
- Anatomy of a phishing campaignComing soon
- Analysing phishing kitsComing soon
- Module 2 knowledge checkComing soon
Module 3 · 1 h 15 min
Investment, marketplace and romance scams
Long-con fraud and the money flows behind it.
- Investment and crypto scamsComing soon
- Marketplace and payment fraudComing soon
- Money mules and cash-outComing soon
- Module 3 knowledge checkComing soon
Module 4 · 50 min
Account abuse
Account takeover, fake accounts and automated abuse.
- Account takeover techniquesComing soon
- Fake account and bot detectionComing soon
- Module 4 knowledge checkComing soon
Module 5 · 1 h
Building and reporting cases
Turning signals into cases that lead to action.
- Prioritising and scoring casesComing soon
- Reporting to platforms and authoritiesComing soon
- Final assessmentComing soon
Prerequisites
- OSINT & Digital Investigations or equivalent experience recommended
Course materials
- Scam typology reference
- Fraud signal checklist
- Abuse reporting contact guide
- Case summary template