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Course Outline

Foundations of Blockchain Technology

Understanding decentralization, openness, and transparency as architectural properties

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

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

The roles of nodes, miners, validators, and live network topology

Cryptocurrency Landscape

Bitcoin and the original ledger model

Ethereum and account-based smart contract execution

Privacy-focused chains: Monero, Zcash, and their differences from transparent ledgers

The role of stablecoins and altchains in illicit activities

Hands-On Lab - Reading the Blockchain

Connecting to Bitcoin and Ethereum nodes for live 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 taxonomy: web, desktop, mobile, hardware, and custodial versus non-custodial options

Seed phrases, key derivation, and recovery methods

Differences between UTXO and account-based transaction models

Understanding addresses, change outputs, and transaction graphs from an investigator's perspective

Mining and Trading as Investigative Context

Mining mechanics, pools, hash rate, and how mining operations are exploited for laundering or originating funds

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

KYC and AML controls at exchanges and their vulnerabilities

How trading patterns can obscure underlying corruption flows

Smart Contracts and DeFi Surface

Understanding smart contracts and their on-chain observability

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

Cross-chain bridges and wrapped assets as obfuscation tools

Extracting investigative signals from contract interactions

Hands-On Lab - Wallet and Transaction Forensics

Inspecting hardware and software wallets in a controlled environment

Recovering and analyzing artifacts from seized devices

Reconstructing transaction graphs across UTXO and account-based chains

Address Clustering and Attribution

Common-input clustering and other industry-standard heuristics

Detecting change outputs and analyzing behavioral fingerprints

Linking on-chain entities to off-chain identities using OSINT

Combining web crawling, social media, and leaked data sources for attribution

Dark Web, Marketplaces, and Criminal Cryptocurrency Flows

Mapping criminal economies on dark web marketplaces

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

Tracking proceeds from initial deposits to cash-out points

Identifying indicators of corruption-linked crypto activity

Privacy-Enhancing Tools and Counter-Forensics

Mixers, tumblers, and CoinJoin implementations

Privacy coins and the limitations of public-chain tracing

Cross-chain bridges and asset wrapping as obfuscation layers

Understanding what tracing can and cannot recover under each technique

Hands-On Lab - Tracing a Suspect Wallet

Using open-source tools to follow complex transaction graphs

Clustering wallet networks and assigning confidence to attribution

Documenting findings as structured intelligence packages

Money Laundering Typologies in Crypto

Adapting placement, layering, and integration concepts to digital assets

Layering techniques through decentralized exchanges, bridges, and mixers

Using DeFi protocols as laundering surfaces and interpreting their data

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

Ransomware, Theft, and Scam Response

Ransomware payment patterns and immediate response steps

Negotiation and recovery practices, including limits and risks

Analyzing exchange hacks, rug pulls, phishing, and large-scale thefts

Collaborating with victims to preserve evidence without compromising the investigation

Cross-Chain Investigation

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

Following funds through bridges and wrapped tokens

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

Hands-On Simulation - Corruption Investigation Lab

Simulating bribery flows across multiple chains and mixers

Building a coherent narrative from fragmented on-chain evidence

Producing chain-of-custody documentation for digital evidence

AML Compliance and the Legal Landscape

FATF guidance, the Travel Rule, and jurisdictional differences

AML and KYC obligations for virtual asset service providers

Sanctions, politically exposed persons, and corruption-relevant typologies

Integrating cryptocurrency findings into existing compliance programs

Working with Exchanges and Cross-Border Partners

Subpoenas, MLATs, and information-sharing channels

Freezing orders, asset preservation, and seizure procedures

Coordinating cryptocurrency tracing with traditional financial investigation methods

Digital Evidence and Courtroom Readiness

Chain of custody for cryptocurrency artifacts and on-chain evidence

Presentation strategies for blockchain evidence to non-technical decision-makers and juries

Common challenges to digital evidence and defending findings

Collaborating with expert witnesses and external technical advisors

Capstone - End-to-End Corruption Inquiry Simulation

Conducting a full investigation from the initial intelligence tip

Building wallet networks, attributions, and timelines

Engaging with exchanges and cross-border partners

Producing a courtroom-ready report and delivering an oral briefing

Summary and Next Steps

Requirements

  • Intermediate technical literacy, including networking and basic Linux command-line skills
  • Working knowledge of cryptography concepts such as hashing and public-key encryption
  • Background in financial investigation, cybersecurity, forensics, or compliance
  • Familiarity with at least one scripting language is beneficial but not mandatory
  • General understanding of financial transactions and AML principles

Targeted Audience

Investigators and forensic analysts in anti-corruption agencies, financial crime units, and law enforcement. Cybersecurity specialists supporting fraud prevention, AML efforts, and digital evidence functions. Compliance and risk professionals operating in regulated environments with increasing cryptocurrency exposure.

 35 Hours

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