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In preparationIntermediate

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.

  1. Module 1 · 55 min

    The fraud landscape

    Who commits online fraud, why, and how the ecosystem is organised.

    1. Fraud economics and actorsComing soon
    2. Scam typologiesComing soon
    3. Module 1 knowledge checkComing soon
  2. Module 2 · 1 h

    Phishing and impersonation

    Brand impersonation, credential phishing and phishing kits.

    1. Anatomy of a phishing campaignComing soon
    2. Analysing phishing kitsComing soon
    3. Module 2 knowledge checkComing soon
  3. Module 3 · 1 h 15 min

    Investment, marketplace and romance scams

    Long-con fraud and the money flows behind it.

    1. Investment and crypto scamsComing soon
    2. Marketplace and payment fraudComing soon
    3. Money mules and cash-outComing soon
    4. Module 3 knowledge checkComing soon
  4. Module 4 · 50 min

    Account abuse

    Account takeover, fake accounts and automated abuse.

    1. Account takeover techniquesComing soon
    2. Fake account and bot detectionComing soon
    3. Module 4 knowledge checkComing soon
  5. Module 5 · 1 h

    Building and reporting cases

    Turning signals into cases that lead to action.

    1. Prioritising and scoring casesComing soon
    2. Reporting to platforms and authoritiesComing soon
    3. 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

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