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Course Outline

Foundations of Blockchain Technology

Decentralization, openness, and transparency as core architectural properties

Cryptographic primitives securing the chain: hashing, digital signatures, and Merkle trees

Consensus mechanisms: Proof of Work, Proof of Stake, and emerging alternatives

Network topology comprising nodes, miners, and validators in a live environment

 

Cryptocurrency Landscape

Bitcoin and the original ledger architecture

Ethereum and account-based smart contract execution models

Privacy-centric chains: Monero, Zcash, and their distinctions from transparent ledgers

Stablecoins, alternative blockchains (altchains), and their involvement in illicit flows

 

Hands-On Lab - Reading the Blockchain

Connecting to Bitcoin and Ethereum nodes for real-time data access

Navigating block explorers and querying live transactions

Analyzing raw transactions, scripts, and smart contract calls

Mapping wallet histories on transparent chains

 

Wallets, Keys, and Transaction Mechanics

Wallet classification: web, desktop, mobile, hardware, and custodial versus non-custodial models

Seed phrases, key derivation processes, and recovery mechanisms

UTXO versus account-based transaction models compared

Addresses, change outputs, and transaction graph analysis from an investigator's viewpoint

 

Mining and Trading as Investigative Context

Mining mechanics, pool structures, hash rate dynamics, and exploitation for fund laundering or generation

Centralized exchanges, decentralized exchanges (DEXs), and over-the-counter (OTC) desks

KYC and AML controls at exchanges and their potential failure points

How trading patterns can obscure underlying corruption flows

 

Smart Contracts and DeFi Surface

Understanding smart contracts and their observable on-chain state

DeFi primitives: swaps, lending protocols, liquidity pools, and yield farming mechanisms

Cross-chain bridges and wrapped assets utilized as obfuscation tools

Analyzing contract interactions for investigative intelligence signals

 

Hands-On Lab - Wallet and Transaction Forensics

Inspecting hardware and software wallets within a controlled environment

Recovering and analyzing artifacts from seized devices

Reconstructing transaction graphs across UTXO and account-based blockchains

 

Address Clustering and Attribution

Common-input clustering and other industry-standard heuristic techniques

Detection of change outputs and behavioral fingerprinting

Linking on-chain entities to off-chain identities via OSINT methodologies

Integrating web crawling, social media data, and leaked information sources for attribution

 

Dark Web, Marketplaces, and Criminal Cryptocurrency Flows

Mapping criminal economies across dark web marketplaces

Common typologies: scams, fraud, contraband trade, and sanctions evasion strategies

Tracking proceeds from initial deposit through final cash-out points

Identifying indicators of corruption-linked cryptocurrency activity

 

Privacy-Enhancing Tools and Counter-Forensics

Mixers, tumblers, and CoinJoin implementations

Privacy coins and the limitations of public-chain tracing capabilities

Cross-chain bridges and asset wrapping as layers of obfuscation

Evaluating what tracing methods can and cannot recover for each technique

 

Hands-On Lab - Tracing a Suspect Wallet

Utilizing open-source tools to navigate complex transaction graphs

Clustering wallet networks and assigning confidence levels to attribution hypotheses

Documenting findings as a structured intelligence package

 

Money Laundering Typologies in Crypto

Placement, layering, and integration stages adapted for digital assets

Layering techniques via decentralized exchanges, bridges, and mixers

DeFi protocols as laundering surfaces and methods for their analysis

Cash-out vectors: peer-to-peer markets, OTC desks, and prepaid instruments

 

Ransomware, Theft, and Scam Response

Ransomware payment patterns and immediate response protocols

Negotiation and recovery practices, including associated limits and risks

Analyzing exchange hacks, rug pulls, phishing attacks, and large-scale theft incidents

Collaborating with victims to preserve evidence without compromising the investigation

 

Cross-Chain Investigation

Tracing assets across Bitcoin, Ethereum, and EVM-compatible blockchains

Following funds through bridges and wrapped token transfers

Reconciling on-chain evidence with exchange records and off-chain data

 

Hands-On Simulation - Corruption Investigation Lab

Simulating bribery flows across multiple chains and mixers

Constructing a coherent narrative from fragmented on-chain evidence

Generating chain-of-custody documentation for digital evidence

 

AML Compliance and the Legal Landscape

FATF guidance, the Travel Rule, and jurisdictional variances

AML and KYC obligations for virtual asset service providers (VASPs)

Sanctions regimes, politically exposed persons (PEPs), and corruption-relevant typologies

Integrating cryptocurrency findings into existing compliance frameworks

 

Working with Exchanges and Cross-Border Partners

Utilizing subpoenas, Mutual Legal Assistance Treaties (MLATs), and information-sharing channels

Executing freezing orders, asset preservation measures, and seizure procedures

Coordinating cryptocurrency tracing with traditional financial investigation lines

 

Digital Evidence and Courtroom Readiness

Maintaining chain of custody for cryptocurrency artifacts and on-chain evidence

Presenting blockchain evidence effectively to non-technical decision-makers and juries

Addressing common challenges to digital evidence and defending investigative findings

Collaborating with expert witnesses and external technical advisors

 

Capstone - End-to-End Corruption Inquiry Simulation

Executing an investigation from the initial intelligence tip through to completion

Constructing wallet networks, attribution analysis, and timelines

Engaging exchanges and cross-border law enforcement partners

Producing a courtroom-ready report and delivering an oral briefing

Summary and Next Steps

Requirements

  • Intermediate technical proficiency, including networking knowledge and basic Linux command-line operations
  • Practical understanding of cryptographic principles such as hashing and public-key encryption
  • Professional background in financial investigation, cybersecurity, digital forensics, or regulatory compliance
  • Familiarity with at least one scripting language is advantageous but not mandatory
  • General comprehension of financial transaction mechanisms and AML principles

Targeted Audience

Investigators and forensic analysts within anti-corruption agencies, financial crime units, and law enforcement bodies. Cybersecurity specialists supporting fraud prevention, AML initiatives, and digital evidence functions. Compliance and risk professionals operating in regulated sectors where exposure to cryptocurrency is escalating.

 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6500 € + VAT*

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