Elliptic enthüllt: Cross-Chain-Geldwäsche hat rund 21 Milliarden Dollar abgeschöpft

Blockchain-Analysten zerschlagen den Schleier über Crypto's Schattenwirtschaft.

DIE QUERKETTEN-REALITÄT

Elliptic's neueste Forensik zeigt, wie Kriminelle Blockchain-Grenzen wie Spielwiesen nutzen. DeFi-Brücken werden systematisch als Sprungbretter für illegale Transaktionen missbraucht – ein digitales Hase-und-Igel-Spiel mit Regulierungsbehörden.

21 MILLIARDEN DOLLAR IN BEWEGUNG

Das Volumen spottet jeder traditionellen Geldwäsche-Statistik. Während die FSA noch über KYC-Richtlinien debattiert, haben Clevercoins längst neue Wege gefunden. Cross-Chain-Protokolle servieren Kriminellen die perfekte Tarnkappe – transparent genug für Legitimität, undurchsichtig genug für Schattenaktivitäten.

DIE REGULATORISCHE LÜCKE

Jede neue Blockchain schafft frische Schlupflöcher. Privacy-Coins mixen den Cocktail weiter auf. Banker schütteln derweil die Köpfe – aber hey, Hauptsache die Quartalszahlen stimmen.

Tactics used in pig butchering

Elliptic’s investigators found that scammers often pool victims’ deposits into self-hosted wallets used only to consolidate and MOVE funds. From there, the money goes through a series of transactions to hide its origin. It may also go through cross-chain links or payment processing services, making it look like the money is real.

A popular tactic involves using mule accounts at regulated crypto platforms. These accounts frequently share suspicious markers such as identical residential addresses, repeated IP logins, and patterns of transfers between accounts.

Photos sent in for compliance checks sometimes show workers working from call centers or warehouses that are known to be where pig-butchering businesses start. However, the study stresses that blockchain leaves clear records of transactions, unlike cash-based crime. This openness gives lawmakers and platforms new ways to spot fishy behavior, even as scammers get better at what they do.

Elliptic says that Cross-chain laundering has milked about $21 billion

Elliptic also warns that pig butchering is only one piece of a broader picture. The report also detailed how individuals facing official sanctions increasingly turn to stablecoins for cross-border transactions.

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Explore 5 key threats shaping crypto crime right now:

✅ AI-driven scams
✅ Pig butchering
✅ Stablecoin abuse by sanctioned actors
✅ Cartel-linked money laundering
✅ Cross-chain laundering

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— Elliptic (@elliptic) September 25, 2025

For instance, Russian entities use A7A5, a rouble-pegged asset, to get around the rules. Also, Rostec, a defense conglomerate, has said it wants to launch its own token, RUBx, to settle transactions for military goods. 

“Unsurprisingly, sanctioned actors have now integrated stablecoins into their sanctions evasion schemes,” Elliptic said. These include cross-border transfers, direct payments for goods and services, and theft through cyberattacks.

In addition, cross-chain laundering, which is the Movement of money between different blockchains to hide where it came from, has become an important part of illegal finance. According to  Elliptic, more than 20% of money laundering cases now involve 10 or more blockchains. 

Elliptic’s research shows that more than $21 billion has been laundered through decentralized exchanges and bridges. This is a fivefold increase since 2022. The report warns that “cross-chain activity is now a fully embedded feature of illicit activity in the crypto-asset ecosystem.”

The Lazarus Group in North Korea is responsible for over $2 billion in illegal cross-chain activity, or 12% of the total. These techniques are also used by fraudsters, drug dealers, and even networks that use children for sexual abuse.

Elliptic also warns that fraudsters are marketing “AI-powered trading bots” that, in reality, amount to so-called rug-pull scams. This is a type of fraud where the creators of a project suddenly withdraw all the funds invested by users, leaving them with worthless tokens, while hostile state actors are using AI to refine malware and ransomware.

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