Course Outline
Foundations of Blockchain Technology
Decentralization, openness, and transparency as core architectural features
Cryptographic primitives ensuring chain security: hashing, digital signatures, and Merkle trees
Consensus mechanisms: Proof of Work, Proof of Stake, and emerging alternatives
Nodes, miners, validators, and live network topology
Cryptocurrency Landscape
Bitcoin and the foundational ledger model
Ethereum and account-based smart contract execution
Privacy-focused chains: Monero, Zcash, and their distinctions from transparent ledgers
Stablecoins, altchains, and their involvement in illicit activities
Hands-On Lab - Reading the Blockchain
Connecting to Bitcoin and Ethereum nodes for real-time data access
Navigating block explorers and querying live transactions
Interpreting raw transactions, scripts, and smart contract calls
Mapping wallet history on transparent chains
Wallets, Keys, and Transaction Mechanics
Wallet classifications: web, desktop, mobile, hardware, and custodial vs. non-custodial
Seed phrases, key derivation, and recovery methods
UTXO vs. account-based transaction models
Addresses, change outputs, and transaction graphs from an analyst's view
Mining and Trading as Investigative Context
Mining mechanics, pools, hash rate, and exploitation for laundering or fund origination
Centralized exchanges, decentralized exchanges, and over-the-counter 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 state observability
DeFi primitives: swaps, lending, liquidity pools, and yield farming
Cross-chain bridges and wrapped assets as obfuscation methods
Analyzing contract interactions for investigative insights
Hands-On Lab - Wallet and Transaction Forensics
Inspecting hardware and software wallets in a controlled setting
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
Change-output detection and behavioral fingerprints
Linking on-chain entities to off-chain identities via OSINT
Combining web crawling, social media, and leaked data for attribution
Dark Web, Marketplaces, and Criminal Cryptocurrency Flows
Mapping criminal economies on dark web marketplaces
Common typologies: scams, fraud, contraband, sanctions evasion
Tracking proceeds from initial deposit to cash-out points
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
Determining 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 a structured intelligence package
Money Laundering Typologies in Crypto
Placement, layering, and integration adapted to digital assets
Layering via decentralized exchanges, bridges, and mixers
DeFi protocols as laundering surfaces and how to analyze them
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 limits and risks
Exchange hacks, rug pulls, phishing, and large-scale theft analysis
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
Simulated bribery flow across multiple chains and a mixer
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 across 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 lines
Digital Evidence and Courtroom Readiness
Chain of custody for cryptocurrency artifacts and on-chain evidence
Presenting blockchain evidence to non-technical decision-makers and juries
Common challenges to digital evidence and how to defend findings
Working with expert witnesses and external technical advisors
Capstone - End-to-End Corruption Inquiry Simulation
Working from initial intelligence tip through full investigation
Building the wallet network, attribution, and timeline
Engaging exchanges and cross-border partners
Producing a courtroom-ready report and oral briefing
Summary and Next Steps
Requirements
- Intermediate technical proficiency, including networking fundamentals and basic Linux command-line skills
- Working knowledge of cryptographic principles, such as hashing and public-key encryption
- Experience in financial investigation, cybersecurity, forensics, or compliance roles
- Familiarity with at least one scripting language is advantageous but not mandatory
- General understanding of financial transactions and AML principles
Targeted Audience
Investigators and forensic analysts employed by anti-corruption agencies, financial crime units, and law enforcement bodies. Cybersecurity professionals supporting fraud prevention, AML, and digital evidence initiatives. Compliance and risk experts operating within regulated sectors where cryptocurrency exposure is growing.
Testimonials (2)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
Muhammad Lutfi Budiansyah - PT Digital Daya Teknologi
Course - Web3 Engineering & Supply Chain Finance Architecture
I really enjoy the training with Patrick. He is clearly very knowledgeable on various topics related to blockchain. He explains really well.
