
Explore blockchain as a sequential, immutable ledger with private keys and addresses enabling direct, verifiable transactions, and examine smart contracts on the Ethereum virtual machine and laundering mechanisms.
Explore how hackers and governments use cryptocurrency to bypass sanctions, enable international payments, and launder proceeds, while tracing origins and patterns to support aml in crypto.
Differentiate external and internal blockchain transactions, and explain token transfers and transfer events guided by smart contracts, addresses, and token logic on Ethereum.
Explore essential tools for AML forensics in crypto, including Etherscan, Block C Blockchain Observer, BigQuery Blockchain Explorer, Tenderly, Money Flow, and debugger to trace transactions, token transfers, and smart contracts.
Explore how crypto gambling, centralized and decentralized services, and smart contracts enable money laundering schemes, with practical analysis of on-chain transactions, game mechanics, and anomaly detection.
Examine how cryptocurrency laundering uses darknet purchases of gift cards and electronic devices, paid with bitcoin, litecoin, monero, or ethereum, via escrow services to launder funds.
Explore how darknet sales of stolen cryptocurrency facilitate laundering by converting stolen bitcoin to Ethereum, tracing funds via Etherscan and BigQuery to centralized exchanges and consolidating funds across multiple addresses.
Learn how cryptocurrency is laundered by exchanging it for fiat through legal and illegal exchanges, darknet services, prepaid cards, cross-border payments, and verified exchange accounts.
Blockchain mixers collect and mix tokens to anonymize transactions by dividing funds into random parts across multiple addresses over time, sometimes via Tor and Gambler protocol-based schemes.
Explore how custodial staking and staking pools can be used in laundering schemes, including funds moving to third party addresses and reward transfers, and how analysts trace stake revenue.
Explore non-custodial staking mechanics, where a smart contract holds 32 eth, interacts with the beacon chain, and rewards reach a different address, highlighting aml considerations.
Explore how liquidity staking creates synthetic tokens tied to a token's price, enabling staking, trading without unlocking funds, and proportional withdrawals, while examining laundering risks and intermediate contracts.
Analyze how cryptocurrency ATMs enable small-amount cash-outs and bypass KYC, the use of droppers to launder large sums, and how analysts trace ATM addresses through blockchain data.
Explore how decentralized exchanges with order books enable token trading and how laundering schemes move dirty crypto across addresses and exchanges through below market sales and cross exchange swaps.
Investigate how DeFi protocols use intermediate smart contracts to obscure recipients and lower costs, and analyze protocol-specific transaction parameters to detect mismatched sender and recipient addresses.
Explore how cryptocurrency laundering leverages DeFi referral systems that use smart contracts and oracle data to distribute token rewards from trading commissions, linking referral addresses within liquidity pools.
Assess how crypto laundering can occur via decentralized lending platforms, using collateralized loans with USDt, ETH, and other tokens, to move dirty funds and complicate traceability on platforms like Aave.
Explain how cryptocurrency laundering uses sandwich attacks on decentralized exchanges, manipulating token prices through memory pool transactions and transaction sequences, and how analysts detect these patterns.
Investigate how blockchain bridges enable cross-chain transfers via smart contracts and liquidity pools, with trusted and oracle nodes, price data, fees, and transaction graphs to trace crypto movement.
Explore how Zk-snark enables anonymous withdrawals on Tornado Cash by linking deposits to withdrawals without revealing identities. Examine privacy tools like Railgun and Aztec network.
Learn how the Secret Network uses secret contracts and trusted execution environments like SGX to process encrypted data privately, and how bridges move tokens between Ethereum and the Secret Network.
Explore how arbitrage profits arise on decentralized exchanges through smart contracts and liquidity pools, and how attackers may launder dirty crypto using flash loans and multi-pool strategies.
Explore how NFTs and decentralized platforms enable money laundering through smart contracts, obfuscation techniques, and token schemes, and learn how analysts use dashboards and SQL queries to detect illicit activity.
Explore how leverage trading on decentralized exchanges enables money laundering through long and short positions, using borrowed funds and smart contracts to move dirty crypto to clean addresses.
Explore how blockchain games fuse gameplay with cryptocurrency finance, enabling NFT ownership, asset trading, and DeFi staking, while analysts detect money laundering through smart contract patterns in example games.
Explore how decentralized lending platforms use cdp and ltv to enable collateralized borrowing, and examine liquidation processes, oracles, and flash loans as channels for crypto laundering.
Explore how prediction markets use smart contracts and oracles to determine outcomes and distribute winnings, while analysts detect laundering risks from fictitious markets and large ETH bets.
Explore how liquidity pools on a dex enable token exchanges, potential laundering via unique tokens and high-fee pools, and how analytics inform AML forensics.
Investigate how hidden liquidity flows across blockchains enable cryptocurrency laundering, focusing on cross-chain bridges, liquidity pools, routers, and the redeem local method that hides transfer events.
Examine how MeV-driven transaction ordering enables validators to profit through front-running, back-running, and sandwich attacks, with Flashbots and MeV share; and detect laundering schemes.
Examine how cryptocurrency laundering unfolds on over-the-counter platforms, where guarantor-backed trades bypass price movements and sanctions, with AML risks rising on the Tron network and transactional address traces.
Analyze decentralized insurance platforms, premiums, and smart-contract risk factors to understand laundering via insurance payouts, and perform on-chain data analysis to connect hacker and recipient addresses.
Explore how decentralized auctions on blockchain enable cryptocurrency laundering, detailing smart contract schemes, liquidity pools, and transaction patterns to uncover anomalies in token trades.
Identify common money laundering mistakes by tracing how unique transfer amounts, intermediate addresses, and aml policies reveal the full chain of participants.
What if I told you that in the modern world there are whole business lines in which some people earn huge fortunes by making up such complex schemes that are not at all easy to analyze, and sometimes impossible.
What pops into your head when you hear the word blockchain? A chain of linked blocks or maybe a cryptocurrency? But I can assure you, for some people, this word is associated with another: fraud.
One of the main differences between classic hacking of a website and hacking of a smart contract is that in the case of the first one, the hacker still needs to sell the stolen information. With a smart contract, everything is easier, the attacker immediately receives a valuable convertible asset in the form of cryptocurrency, which can immediately be considered income. The difference is that the attacker needs to cover his tracks so that nothing can lead to him, despite the fact that the blockchain data is available to all Internet users.
There are a lot of questions. And this course is a journey through the world of blockchain forensics, where we will act as an investigator and step by step look at the various ways and tricks that hackers use to legalize and launder cryptocurrency funds.