Metaverse-based Asset Transfers

Adversaries use metaverse platforms to obscure illicitly obtained cryptocurrency by first swapping stolen tokens on decentralized exchanges (DEXs) to avoid freezing or scrutiny. They then purchase digital assets within these virtual environments—such as virtual real estate, wearables, or NFTs—where the resulting complexity of transactions bolsters anonymity. In many cases, criminals will rapidly resell these items to legitimate buyers, receiving fresh ‘clean’ tokens that appear detached from the original proceeds. Some actors also engage in wash trading of metaverse-based NFTs or deploy code exploits to manipulate asset values, further complicating detection. Ultimately, the resold tokens are converted into widely used cryptocurrencies or fiat, effectively integrating illicit funds into mainstream financial channels and creating significant challenges for traditional transaction tracing.

[
Code
T0066.001
]
[
Name
Metaverse-based Asset Transfers
]
[
Version
1.0
]
[
Parent Technique
]
[
Tactics
]
[
Risk
Product Risk, Channel Risk
]
[
Created
2025-02-14
]
[
Modified
2025-04-02
]

Tactics

ML.TA0007
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Through frequent token swaps on decentralized exchanges (DEXs) and rapid purchase/resale of digital metaverse assets (e.g., virtual real estate, NFTs), criminals create multiple complex transactions that deliberately obscure the funds' illicit origin. These rapid trades and wash transactions serve to distance the proceeds from their original source.

Risks

RS0002
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Product Risk
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The intangible and easily traded nature of metaverse-based digital assets (such as NFTs and virtual real estate) enables criminals to quickly buy and sell, exploit wash trading, and manipulate valuations. These inherent product features significantly obscure the trail of illicit funds, facilitating complex layering steps that detach proceeds from their criminal origins.

RS0003
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Channel Risk
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Criminals exploit the pseudonymous and under-regulated nature of metaverse platforms, using decentralized exchanges and cross-border fund movements to obscure transaction flows. These online ecosystems typically lack robust KYC/CDD controls, enabling rapid layering and seamless cross-jurisdictional transfers that hinder timely detection or reporting by financial institutions.

Indicators

IND00802
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High-frequency token conversions on decentralized exchanges (DEXs) are observed immediately before purchasing digital assets (e.g., virtual real estate or wearables) within metaverse platforms.

IND00803
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Digital assets acquired in the metaverse are sold shortly after purchase, with the proceeds quickly converted into fresh tokens and then to widely used cryptocurrencies like Ether.

IND00812
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A multi-layered transaction trail is evident when illicit tokens are first swapped on DEXs for digital assets, then the proceeds are reconverted into 'clean' tokens before being exchanged for fiat on centralized platforms.

IND00820
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Transactions involve the use of decentralized mixers or obfuscation techniques in the token conversion process, aiming to hide the illicit origins of the funds.

IND00821
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Abrupt switching between decentralized and centralized crypto platforms within a short time span, with funds being routed through metaverse asset transactions, is observed.

IND00825
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Customer profiles that demonstrate a significant mismatch between declared sources of wealth and the high volume and complexity of metaverse-based transactions trigger enhanced due diligence measures.

IND00826
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Excessive and rapid conversion of digital asset sale proceeds into new tokens, followed by immediate swapping into fiat currencies, suggests deliberate layering to obscure illicit origins.

IND00836
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Newly onboarded accounts on metaverse platforms that engage in high-frequency token trading and asset conversions without rigorous CDD checks or established customer profiles.

IND00837
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Frequent, rapid shifts among various digital asset types and metaverse platforms with no documented commercial rationale, indicating a potential layering pattern.

IND00842
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Repeated buy/sell cycles of the same metaverse-based NFT among linked wallets at inflated prices, indicative of wash trading to artificially inflate asset value and launder funds.

IND00843
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Unusual transaction patterns and sudden price spikes for specific metaverse assets, correlating with known code exploits or vulnerabilities that artificially manipulate asset values.

Data Sources

  • Includes verified customer identities, declared sources of wealth, and account background information.
  • Enables detection of mismatches between stated financial profiles and high-volume or complex metaverse-based transactions.
  • Flags newly onboarded accounts lacking rigorous CDD or showing sudden spikes in metaverse asset trading activity.
  • Provides on-chain transactional details (e.g., timestamps, wallet addresses, token amounts) associated with purchasing or selling metaverse-based digital assets.
  • Supports detection of high-frequency token swaps, short holding periods, and NFT wash trading by analyzing transaction patterns and wallet clusters.
  • Facilitates tracing of illicit token flows and identifying code exploit transactions aimed at manipulating asset values.
  • Contains transaction records (e.g., trade dates, prices, volumes, counterparties) from centralized or regulated exchange platforms.
  • Corroborates successive conversions of proceeds from metaverse asset sales into mainstream cryptocurrencies or fiat.
  • Helps identify rapid deposit-withdrawal cycles, short holding periods, and potential layering or wash trading behaviors.

Mitigations

Apply deeper scrutiny to customers engaging in significant or repetitive metaverse-based deals by verifying the sources of funds and beneficial ownership behind large token swaps or rapid buy-sell cycles of virtual real estate or NFTs. Validate any commercial rationale for high-frequency cross-border metaverse transactions and cross-reference wallet addresses with known exploit or laundering typologies.

Require detailed customer information during account onboarding for metaverse-related activities, including intended transaction volumes, platform usage, and relevant geographic nexus. Verify beneficial owners for entities trading high-value digital assets and confirm the legitimacy of any large crypto holdings introduced to the account.

Implement specialized scenario rules focused on short holding periods, artificially inflated pricing, and repeated buy-sell cycles involving metaverse-based assets. Correlate transaction alerts with known wash-trading or code-exploit patterns, and flag abrupt shifts from decentralized to centralized platforms that suggest layering efforts. Escalate such alerts for immediate investigation.

Leverage specialized blockchain analytics to trace funds from suspicious or stolen token sources into metaverse-based transactions. Identify unusual wallet linkages, repeated NFT transfers at inflated prices, or code-exploit manipulations. Maintain updated external intelligence on addresses associated with wash trading or known exploits to flag high-risk transactions for review.

Provide targeted training on red flags specific to metaverse-based layering schemes, such as wash trading, code-exploit value manipulation, and rapid NFT buy-sell cycles. Incorporate scenario-based exercises illustrating how criminals channel illicit proceeds through virtual platforms to obscure funds, ensuring staff can recognize and escalate suspicious patterns promptly.

  • Focus on identifying and understanding wash trading and its implications.
  • Highlight code-exploit value manipulation techniques used in the metaverse.
  • Train staff on recognizing rapid NFT buy-sell cycles as potential red flags.
  • Use scenario-based exercises to demonstrate the flow of illicit proceeds through virtual platforms.
  • Ensure staff are equipped to promptly recognize and escalate suspicious patterns.

Participate in industry-wide forums and data-sharing partnerships to exchange intelligence on metaverse laundering threats, including code-exploit vulnerabilities and wallet addresses linked to wash-trading rings. Cooperate with other financial institutions and blockchain analytics providers to cross-reference emerging red-flag typologies and strengthen collective detection efforts.

Restrict or suspend services when an account engages in repeated wash trading, code exploits, or unusual NFT flipping patterns that strongly indicate layering. Temporarily freeze assets or block further conversions until the customer can provide credible documentation and clarification, preventing further misuse of metaverse channels.

Continuously reassess customer profiles actively engaged in metaverse asset transfers, updating risk ratings and verifying the legitimacy of newly observed transaction flows. Detect abnormal price spikes, repeated NFT flipping, or code exploitation by cross-referencing updated indicators, and escalate these findings for enhanced review or investigation as needed.

Instruments

  • Criminals convert stolen tokens into metaverse-specific virtual goods (e.g., virtual real estate, wearables) to obscure the funds’ illegal origin. By carrying out these purchases in a high-volume marketplace, they insert additional transactional layers.
  • The intangible nature of these assets and the cross-border reach of metaverse platforms diminish straightforward oversight, allowing illicit funds to be rapidly moved or resold with minimal scrutiny.
  • When these virtual goods are quickly resold to legitimate buyers, criminals receive new tokens that appear unrelated to the initial illicit holdings, further distancing the funds from their criminal origins.
  • Metaverse-based NFTs enable criminals to engage in wash trading: they repeatedly buy and sell the same tokens among colluding wallets, artificially inflating trade volume and prices.
  • This tactic severs the traceable link to the initial stolen tokens, as the newly received proceeds appear to arise from legitimate NFT trades.
  • Criminals may also exploit code vulnerabilities in NFT platforms to manipulate valuations, deepening transactional complexity and hindering detection by traditional AML systems.
  • After reselling metaverse-based assets and converting the proceeds into recognized cryptocurrencies, launderers ultimately exchange those tokens for fiat currency (e.g., USD, EUR) to integrate funds into standard financial systems.
  • Once the illicitly obtained tokens have been ‘washed’ through multiple digital asset trades, selling them for fiat masks their criminal origins under the appearance of routine cryptocurrency-to-cash transactions.
  • These cash-outs often occur via centralized exchanges or OTC brokers in different jurisdictions, further complicating oversight by financial institutions.
  • Initially, stolen tokens are swapped on decentralized exchanges to avoid scrutiny and then used to acquire metaverse assets. Once resold, the resulting proceeds are converted back into well-known public ledger cryptocurrencies (e.g., Bitcoin, Ether).
  • Since public ledgers record all transactions, criminals rely on a complex sequence of wallet addresses and trades to make the final tokens appear unconnected to the original illicit funds.
  • This continuous switching of tokens complicates tracing, allowing laundered assets to blend into legitimate cryptocurrency usage on major blockchains.

Service & Products

  • Criminals exploit decentralized exchanges and lending protocols within DeFi ecosystems to swap stolen tokens, bypassing controls that might flag or freeze suspicious funds.
  • They engage in wash trading and manipulate asset values through code exploits, masking their transaction histories and true asset origins.
  • The absence of centralized oversight and reliance on pseudonymous addresses complicate AML tracing, allowing illicit proceeds to move rapidly across different protocols.
  • Illicitly obtained tokens are used to purchase digital real estate and other metaverse assets, adding complexity to ownership structures.
  • Rapid resale of these virtual properties to legitimate buyers integrates the proceeds back into new tokens or widely used cryptocurrencies with minimal apparent connection to the original illicit source.
  • The emerging nature of virtual real estate transactions and variable regulatory oversight enable criminals to obscure the trail of illegal funds.
  • After layering funds through DeFi protocols and metaverse asset transactions, criminals convert their newly ‘clean’ tokens into mainstream cryptocurrencies or fiat via these exchanges.
  • By appearing as ordinary trades or investments, the illicit origin is effectively concealed, allowing final integration into traditional financial channels.

Actors

AT0003
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Traders on these metaverse platforms or NFT marketplaces may unknowingly purchase assets from criminals:

  • Their legitimate payments provide criminals with 'clean' tokens or proceeds that appear unconnected to criminal origins.
  • Financial institutions often see these trades as routine market activity, making it difficult to identify laundering patterns.

Cybercriminals exploit metaverse platforms to launder illicit cryptocurrency by:

  • Swapping stolen tokens on decentralized exchanges to evade detection.
  • Purchasing digital assets (e.g., virtual real estate or NFTs) in the metaverse to layer funds through complex transaction chains.
  • Rapidly reselling these assets to unwitting buyers, receiving new tokens or fiat that appear detached from the original illicit source.

This process challenges financial institutions’ ability to trace and link transactions back to the underlying crime.

Cryptocurrency exchanges are used for converting newly laundered tokens into mainstream cryptocurrencies or fiat:

  • Appearances of ordinary trades hide the prior layering steps involving metaverse-based transactions.
  • Without robust chain analysis, financial institutions struggle to link the final conversions to the original illicit source.

Online marketplaces hosting metaverse-based asset sales are unwittingly exploited by criminals who:

  • Buy and sell NFTs, virtual real estate, or digital goods using illicitly obtained tokens.
  • Engage in rapid turnover or wash trading to further layer and mask the source of funds.

This activity dilutes the trail of illicit funds, complicating transactional analysis for financial institutions.

Peer-to-peer exchange operators provide decentralized platforms (DEXs) that criminals use to:

  • Anonymously swap or convert stolen tokens into different digital assets, bypassing conventional KYC controls.
  • Obscure the true origin of funds by using pseudonymous wallet addresses.

Financial institutions have limited visibility into the resulting transaction chains, complicating detection or reporting efforts.

References

  1. Costa, A. (2023). Preventing financial crime in cryptoassets: Investigating illicit funds flows in a cross-chain world. Elliptic.https://www.elliptic.co/hubfs/Elliptic_LEA_Typologies_2023_Report.pdf

  2. Lange, A. (2022). Financial crime in the metaverse is real – how can we fight back?. Wolf Theiss. https://www.wolftheiss.com/insights/financial-crime-in-the-metaverse-is-real/