Clean on Paper

How money laundering works

Money laundering is a plumbing problem: turning cash you can’t explain into wealth you can. This is a field guide to the pipes: the techniques, the cases that exposed them, and how they get caught.

Start with the basics Browse all techniques →

The three stages

Most laundering schemes move through three stages (placement, layering, and integration), first described this way by the Financial Action Task Force. Click a stage to see how it works and which techniques belong to it.

Stage 1

Placement

Dirty money enters the financial system. This is the riskiest moment, when cash first meets a record.

Stage 2

Layering

The trail is buried under transfers, entities, conversions, and borders until following it costs more than the money is worth.

Stage 3

Integration

The money re-enters as assets with their own paper trail: property, businesses, portfolios.

The techniques

Each technique page explains the mechanism, why it works, the red flags investigators look for, a real case, and how it gets caught.

  • Black Market Peso Exchange

    A peso broker buys a cartel's US drug dollars at a discount and uses them to pay US exporters for Latin American importers, who repay the broker in pesos at home.

    Layering Trade Classic

  • Cash-intensive front businesses

    A real-looking business that handles lots of cash books criminal money as sales, banks it, and pays tax on it, buying the money a legitimate history.

    PlacementIntegration Cash Classic

  • Casinos and gambling

    Dirty cash buys chips; minimal play and a cash-out turn it into documented gambling proceeds, a source of funds banks rarely question.

    PlacementLayering Gambling Classic

  • Chain-hopping and cross-chain bridges

    Swapping illicit crypto across blockchains through bridges and no-KYC swap services so that no single chain's analytics tell the whole story.

    Layering Crypto Modern

  • Flying money: Chinese underground banks

    Chinese underground banks match cartel cash in the US with Chinese clients who want dollars outside China's capital controls: two mirrored payments, and no money crosses a border.

    Layering Informal value transfer Classic

  • Hawala and informal value transfer

    Moving value across borders through trusted brokers who pay out locally and settle with each other later: no money actually crosses, and no transaction record exists.

    Layering Informal value transfer Classic

  • Mixers, tumblers, and CoinJoin

    Services that pool many users' coins and pay out equivalent amounts from the pool, breaking the on-chain link between where crypto came from and where it went.

    Layering Crypto Modern

  • Money mules and funnel accounts

    Recruited or deceived account holders receive and forward criminal money, so the bank's customer checks land on a real person who isn't the criminal.

    PlacementLayering Banking Modern

  • Real estate

    Parking illicit funds in property through shell companies, trusts, and all-cash purchases, then drawing the money back out as clean-looking rent or resale proceeds.

    Integration Assets Classic

  • Shell companies and nominees

    Companies with no real operations hold accounts and assets while nominee directors and stacked ownership across jurisdictions hide the true beneficial owner.

    Layering Banking Classic

  • Stablecoins and OTC brokers

    Moving illicit value through dollar-pegged stablecoins (above all USDT on Tron) and converting it to cash through over-the-counter brokers and guarantee marketplaces with little or no KYC.

    PlacementLayering Crypto Modern

  • Structuring (smurfing)

    Splitting cash into deposits just below the reporting threshold so no single transaction triggers a currency report.

    Placement Cash Classic

  • Trade-based money laundering

    Moving value across borders through trade paperwork: over- or under-invoicing goods, double-invoicing shipments, or invoicing shipments that never happened.

    Layering Trade Classic

The big cases

The schemes that defined modern anti-money-laundering enforcement: what happened, how each was found, and what changed afterwards.

  • HSBC and the Sinaloa cartel

    Weak controls let Mexican and Colombian cartels move at least $881 million in drug money through HSBC, which paid a then-record $1.92 billion in 2012 to defer prosecution.

    2006–2012 US$1.92 billion penalty

  • 1MDB

    More than US$4.5 billion was diverted from Malaysia's state fund through offshore shell companies into luxury property and Hollywood films, toppling a prime minister and costing Goldman Sachs billions.

    2009–2020 ≈ US$4.5 billion diverted

  • Danske Bank Estonia

    About €200 billion flowed through the Estonian branch of Denmark's biggest bank between 2007 and 2015, much of it suspicious non-resident money hidden behind UK shell companies.

    2007–2015 ≈ €200 billion suspicious flows

  • The Vancouver Model

    Drug cash lent to Chinese high-roller gamblers through underground banks, washed through BC casinos and real estate, and repaid in China.

    2010s–2022 est. C$7.4 billion in BC (2018)

  • The Bitfinex hack laundering

    A married couple spent five years laundering 119,754 bitcoin stolen from the Bitfinex exchange, and the blockchain recorded every move.

    2016–2025 119,754 BTC

  • Lazarus Group

    North Korea's state hackers have stolen roughly US$6.75 billion in cryptocurrency and launder it at a speed no other criminal group matches.

    2016–present ≈ US$6.75 billion stolen

See the full case timeline →

Why it matters

The UN Office on Drugs and Crime estimated in 2011 that 2–5% of global GDP (roughly US$800 billion to US$2 trillion a year) is laundered, an estimate the UNODC itself calls uncertain. Europol’s 2016 study “Does crime still pay?” found that only about 1% of criminal proceeds in the EU are ever confiscated. Both figures are contested; that is part of the story. Laundering is what makes drug trafficking, fraud, corruption, and sanctions evasion pay. Detection, most of the time, still loses.

How detection works → · Reporting thresholds by country →

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