Cryptocurrency Laundering Database

Sr# Case / Exchange Name Country AML Network Risk Rating
1 Convex Finance (CVX)  United States 🔴 High Risk
2 Phala Network (PHA) China, Singapore 🔴 High Risk
3 Ergo (ERG) Russia, United States 🔴 High Risk
4 BitGrail Nano Italy, United States 🔴 High Risk
5 Mt. Gox Bitcoin Japan, United States 🔴 High Risk
6 Operation CoinLayer BCH Network ​ Australia, United States 🔴 High Risk
7 Sei Network United States 🔴 High Risk
8 Hedera Hashgraph United Kingdom 🔴 High Risk
9 Polkadot Germany, Russia, Switzerland 🔴 High Risk
10 Chainlink United States 🔴 High Risk
11 Uniswap Russia, United States 🔴 High Risk
12 Ripple (XRP) United States 🔴 High Risk
13 Decred (DCR) Cambodia, China, Germany, United States 🔴 High Risk
14 Aptos (APT) Singapore, United Arab Emirates, United States 🔴 High Risk
15 ThorChain (RUNE) Norway, United States 🔴 High Risk
16 Curve Finance Switzerland, United States 🔴 High Risk
17 PancakeSwap (CAKE) China, Singapore, Turkey, United States 🔴 High Risk
18  MakerDAO DAI  United States 🔴 High Risk
19 Aave Protocol Estonia, United Kingdom, United States 🔴 High Risk
20 Internet Computer (ICP) Switzerland, United States 🔴 High Risk
21 BlackWallet Stellar Lumens United States 🔴 High Risk
22 Near Protocol  Switzerland, United States 🔴 High Risk
23 Cosmos ATOM United States 🔴 High Risk
24 VeChain (VET) China, Ireland, Italy, Singapore 🔴 High Risk
25 Litecoin (LTC) Singapore, United States 🔴 High Risk
26 Tezos (XTZ) France, Morocco, United States 🔴 High Risk
27  Bitfinex Japan, United States 🔴 High Risk
28 001k Canada, Ukraine, United Arab Emirates, United States, Uzbekistan 🔴 High Risk
29 Pepe Coin China, United States 🔴 High Risk
30 NFT United Kingdom, United States 🔴 High Risk
31 Filecoin  China, United States 🔴 High Risk
32 Sui United States 🔴 High Risk
33 Cetus United States 🔴 High Risk
34 Hyperliquid United States 🔴 High Risk
35 Cardano United States 🔴 High Risk
36 Cryptex Russia, United States 🔴 High Risk
37 Bitpapa  Russia, United States 🔴 High Risk
38 NetEx24 Russia, Ukraine 🔴 High Risk
39 Nobitex  Iran, Russia 🔴 High Risk
40 EggChange Netherlands, Russia, United States 🔴 High Risk
41 Huione Group Cambodia, United States 🔴 High Risk
42 Finiko Russia, Turkey 🔴 High Risk
43  Yinyin Tian China, United States 🔴 High Risk
44 Garantex Estonia, Finland, Germany, Kyrgyzstan, Russia, United Arab Emirates, United States 🔴 High Risk
45 Solana United States 🔴 High Risk
46 Tezos (XTZ)  France, Morocco, United States 🔴 High Risk
47 EOS China, Singapore 🔴 High Risk
48  NEM (XEM) Japan 🔴 High Risk
49 Qtum  China, Singapore 🔴 High Risk
50 Waves Russia, United Kingdom, United States 🔴 High Risk
51 Algorand  Italy, Singapore, United States 🔴 High Risk
52 Cronos Singapore, United States 🔴 High Risk
53 Optimism United States 🔴 High Risk
54 Arbitrum  United States 🔴 High Risk
55 Polygon India, United States 🔴 High Risk
56 Avalanche Canada, Germany, United States 🔴 High Risk
57 Paxos-Binance BUSD United States 🔴 High Risk
58 USDC United States 🔴 High Risk
59 Tether China, United States 🔴 High Risk
60 Tron Australia, Singapore, United Kingdom, United States 🔴 High Risk
61 Fantom Australia, Canada, Mexico, Thailand, United States 🔴 High Risk
62 Verge United States 🔴 High Risk
63 Harmony Horizon Bridge United States 🔴 High Risk
64 CloakCoin Cambodia, Laos, Singapore, United States 🔴 High Risk
65 NavCoin New Zealand 🔴 High Risk
66 PIVX Russia, United States 🔴 High Risk
67 Bytecoin China, United Arab Emirates, United Kingdom, United States 🔴 High Risk
68 Pirate Chain United States 🔴 High Risk
69 Grin China, Russia, United States 🔴 High Risk
70 BEAM China, United Kingdom 🔴 High Risk
71 Monero Japan, Lithuania, Russia, Thailand, United States 🔴 High Risk
72 TradeOgre  Canada, Russia 🔴 High Risk
73 Bitzlato Russia, United States 🔴 High Risk
74 Bestmixer France, Germany, Latvia, Luxembourg, Netherlands, United States 🔴 High Risk
75 PM2BTC Netherlands, Russia, United States 🔴 High Risk
76 Cryptex  Russia, Saint Vincent and the Grenadines 🔴 High Risk
77 Chatex Czech Republic (Czechia), Estonia, Russia, United States 🔴 High Risk
78 Garantex Brazil, China, Estonia, Finland, Georgia, Germany, Kyrgyzstan, Netherlands, Spain, United Arab Emirates 🔴 High Risk
79 Suex Czech Republic (Czechia), Russia, United States 🔴 High Risk
80 Sinbad.io Korea, North (North Korea), Netherlands, United States 🔴 High Risk
81 Blender.io Korea, North (North Korea), Russia, United States 🔴 High Risk
82 Samourai Wallet United States 🔴 High Risk
83 ChipMixer Germany, United States, Vietnam 🔴 High Risk
84 HitBTC Seychelles, United Arab Emirates 🔴 High Risk
85 Upbit Crypto Korea, South (South Korea) 🔴 High Risk
86 WazirX India, Singapore 🔴 High Risk
87 OKCoin Malta, United States 🔴 High Risk
88 Poloniex Canada, Cuba, Iran, Seychelles, Sudan, Syria, United Kingdom, United States 🔴 High Risk
89 CoinEx Token China, United States 🔴 High Risk
90 KuCoin Token Seychelles, United States 🔴 High Risk
91 Huobi Global Limited China, France, Japan, Seychelles, Singapore 🔴 High Risk
92 Kraken Exchange Iran, United States 🔴 High Risk
93 Paxful Inc. Estonia, United States 🔴 High Risk
94 Hacked Coinbase Wallets India, United States 🔴 High Risk
95 Dogecoin China, Israel, Turkey 🔴 High Risk
96 XRP Crypto United States 🔴 High Risk
97 Ethereum Crypto Australia, China 🔴 High Risk
98 Dash Cryptocurrency United Kingdom, United States, Venezuela 🔴 High Risk
99 Zcash France, Italy, Japan, Nigeria, Poland, Spain, United Kingdom, United States, Zimbabwe 🔴 High Risk
100 Binance Coin (BNB) Canada, France, Iran, Japan, Korea, North (North Korea), Syria, United Kingdom, United States 🔴 High Risk
101 SafeMoon United States 🔴 High Risk
102 CREAM Finance Exploit 2021 Poland, United States 🔴 High Risk
103 Liberty Reserve Costa Rica, Malaysia, Nigeria, Russia, Spain, United States, Vietnam 🔴 High Risk
104 Bitfinex Hack BTC Kazakhstan, Russia, Ukraine, United States 🔴 High Risk
105 Roger Nils-Jonas Karlsson Crypto Fraud Sweden, Thailand, United States 🔴 High Risk
106 Chainalysis Flagged Cryptocurrency Addresses Canada, Chile, Germany, India, Iran, Israel, Japan, Lithuania, Norway, Russia, United Arab Emirates, United States 🔴 High Risk
107 Cashaa Token India, United Kingdom 🔴 High Risk
108 BitConnect Ponzi scheme India, United States 🔴 High Risk
109 BitClub Network Ponzi Scheme Germany, Romania, United States 🔴 High Risk
110 Wall Street Market Darknet Seizure Germany, United States 🔴 High Risk
111 BitMEX United States 🔴 High Risk
112 Mt. Gox Collapse Japan, United States 🔴 High Risk
113 Helix Bitcoin Mixer United States 🔴 High Risk
114 BTC-e Exchange Russia, United States 🔴 High Risk
115 OneCoin Fraud Scheme Australia, Belize, Bulgaria, China, Germany, United Arab Emirates, United Kingdom, United States 🔴 High Risk
116 OKX Crypto Exchange Seychelles, United States 🔴 High Risk
117 Bitcoin Fog Cryptocurrency Mixer Romania, Russia, Sweden, United States 🔴 High Risk
118 Tornado Cash Korea, North (North Korea), United States 🔴 High Risk
119 Silk Road Darknet Market Place United States 🔴 High Risk
120 PlusToken Ponzi Scheme China 🔴 High Risk
121 Thodex Crypto Scam Albania, Turkey 🔴 High Risk
122 Bitfinex Hack Money Laund United States 🔴 High Risk
123 Cross-Border Crypto Saudi Arabia, United Arab Emirates 🔴 High Risk
124 Egyptian Darknet Egypt 🔴 High Risk
125 Bahrain Blockchain Scam Bahrain, Lebanon 🔴 High Risk
126 Dubai Crypto Exchange Czech Republic (Czechia), India, United Arab Emirates, United Kingdom, United States 🔴 High Risk
127 DragonForce Ransomware Saudi Arabia 🔴 High Risk

Cryptocurrency, once hailed as a disruptive financial innovation, has rapidly evolved into a double-edged sword. While it provides secure, decentralized, and efficient transaction channels, it has also become a haven for criminals, kleptocrats, and cybercriminal syndicates seeking to obscure the origin of illicit funds.

Traditional money laundering required a complex network of shell companies, banks, and corrupt intermediaries. With cryptocurrencies, illicit actors can move millions across borders in minutes—sometimes anonymously, and often without triggering compliance checks. Tools like mixers (e.g., Tornado Cash), privacy coins (e.g., Monero, Zcash), and decentralized exchanges have made tracing the source of funds exponentially more difficult.

At Anti Money Laundering Watch (AML Watch), we recognize that cryptocurrency laundering represents one of the fastest-growing and most elusive threats in the global financial system. That’s why our Cryptocurrency Laundering Database documents high-risk wallets, laundering typologies, confirmed and suspected laundering incidents, and entities enabling or facilitating these flows. This resource is vital for regulators, journalists, banks, crypto firms, and investigators worldwide.

How Criminals Exploit Crypto Networks to Launder Money

Cryptocurrency laundering takes many forms, often combining traditional laundering techniques with new, tech-driven methods. Here’s how criminal organizations adapt:

Mixing & Tumbling Services

These services blend illicit crypto with clean coins, obscuring the transaction trail. While some claim to offer privacy, many have become essential tools for laundering proceeds from darknet markets, ransomware attacks, and state-sponsored theft.

Privacy Coins

Unlike Bitcoin and Ethereum, privacy-focused cryptocurrencies like Monero offer untraceable transactions. These are favored by organized crime and hacker groups for large-scale laundering.

Chain Hopping

By converting crypto from one asset to another (e.g., Bitcoin to Ethereum to Monero), criminals break the transactional chain, making forensic analysis nearly impossible without advanced tools.

Decentralized Finance (DeFi) Protocols

Decentralized platforms allow pseudonymous users to access complex financial services without KYC requirements. Launderers use DeFi to deposit and withdraw illicit funds via lending, staking, or liquidity pools—blending dirty assets with legitimate flows.

NFT Laundering

Non-fungible tokens (NFTs) are now being used for wash trading—artificially inflating asset values and disguising transactions. Because NFTs can be transferred easily between anonymous wallets, they’re ideal for disguising bribe payments or criminal profits.

Our database not only records such typologies but also links them to real cases, actors, and transactional histories.

Notable Cases and Entities in Our Database

The Cryptocurrency Laundering Database includes data-rich profiles of confirmed and suspected laundering networks. Each profile documents wallet addresses, linked exchanges, transaction chains, and associated individuals or corporate fronts. Here are some illustrative examples:

  • North Korea’s Lazarus Group: Responsible for laundering over $1.2 billion in stolen crypto through mixers and offshore exchanges.
  • Hydra Market Takedown: After Europol’s action, thousands of Bitcoin transactions were traced, revealing laundering links to Russian-speaking cyber syndicates.
  • Bitzlato Exchange: Shut down for facilitating over $700 million in illicit transactions, including ransomware payouts.
  • Binance Investigations: Under regulatory scrutiny for weak AML compliance, allegedly allowing flows tied to sanctions evasion and drug trafficking.

Each entry includes risk scoring, jurisdictional exposure, and potential red flags—making our database a practical tool for due diligence and investigative research.

Red Flags: Identifying Laundering in the Crypto Ecosystem

Our team has developed a structured list of red flags based on FATF guidance, forensic blockchain analysis, and case investigations. Key red flags include:

  • Repeated use of high-risk wallets connected to known laundering schemes
  • Transactions routed through mixers with no commercial justification
  • High-value NFT trades between linked wallets with no market activity
  • Sudden inflows from ransomware wallets to DeFi pools
  • Use of multiple exchanges with minimal KYC to break transaction chains
  • Transfers to and from sanctioned jurisdictions (e.g., Iran, North Korea, Russia)

We incorporate these red flags into our risk scoring methodology, allowing users of the database to quickly assess the severity of each case.

Who Uses This Database — And Why

The Cryptocurrency Laundering Database is used by:

  • Regulators & FIUs: For tracking and investigating suspicious crypto transactions and creating typology-based risk reports.
  • Crypto Exchanges & Wallet Providers: To flag and prevent onboarding of high-risk clients or wallets.
  • Banks & Financial Institutions: For enhanced due diligence (EDD) on clients linked to crypto assets or flows.
  • Investigative Journalists: To trace networks involved in kleptocracy, political corruption, and state-sponsored laundering.
  • Academic Researchers: Studying laundering innovation in the digital age.

How We Collect, Verify, and Rate Each Case

Each case in our database follows a rigorous multi-source verification process:

  1. Initial Identification: Via leak documents (FinCEN Files, Chainalysis reports, etc.), law enforcement disclosures, or media investigations.
  2. Blockchain Forensics: Cross-checking wallet behavior, transaction chains, and known patterns using open-source tools and analytics.
  3. Entity Linking: Verifying ownership, control, or beneficial interest through corporate records, leaked documents, or whistleblower data.
    Risk Rating: Assigning a jurisdictional and entity-level risk score based on laundering complexity, transaction volume, and red flags.

All entries are referenced with credible sources including law enforcement, regulatory reports, blockchain explorers, and investigative journalism.

Why Transparency in Crypto Laundering Matters

Unchecked crypto laundering enables massive criminal operations and undermines trust in the blockchain economy. When launderers succeed in moving billions undetected, they fund terrorism, prolong wars, enable kleptocracy, and destabilize entire economies.

Publicly documenting and exposing these cases is not just an act of transparency—it is a deterrent. It pressures exchanges to tighten controls, regulators to harmonize standards, and criminals to lose their safe havens.

At AML Network, we believe that exposing laundering networks in the crypto sphere is essential for safeguarding democratic institutions, financial systems, and civil society.

Jurisdictional Risks and Enforcement Gaps

Our research highlights specific jurisdictions where crypto laundering thrives due to weak enforcement or intentional regulatory arbitrage. Key concerns include:

  • UAE: Hosting opaque crypto exchanges with minimal enforcement, attracting billions in suspect flows.
  • Russia: A hub for ransomware payouts, sanctioned individuals, and high-risk exchanges operating globally.
  • Nigeria & West Africa: Rising use of crypto to bypass capital controls and facilitate cross-border laundering.
  • Caribbean Offshore Jurisdictions: Used as entry/exit points for laundering networks converting fiat to crypto and vice versa.

We also flag jurisdictions with weak implementation of FATF’s Travel Rule and KYC protocols for VASPs (Virtual Asset Service Providers).

Features of the Cryptocurrency Laundering Database

  • Case-Based Entries: Detailed laundering case profiles with summaries, wallet data, risk ratings, and links.
  • Filter by Jurisdiction, Coin, or Risk Level
  • PEP & Corporate Linkage: Flagging politically exposed persons or shell companies connected to each case.
  • Downloadable Reports: Exportable PDFs for regulatory, investigative, or journalistic use.
  • Live Updates: Continuously updated with fresh cases and enforcement outcomes.

Join the Fight Against Crypto Laundering

The future of finance depends on clean systems. If crypto is to be a force for good, it must be protected from misuse. Join us in the fight to expose, document, and shut down the pipelines of digital laundering.

Whether you’re a regulator, journalist, compliance officer, or academic, the Cryptocurrency Laundering Database on Anti Money Laundering Network is your essential tool to stay informed, investigate confidently, and act decisively.