NFT fraud statistics at a glance
NFT fraud is not one thing. It includes laundering, wash trading, scams, rug pulls, phishing, impersonation, insider-style abuse, and marketplace manipulation, and the numbers below show how wide that surface has become.
Quick take
The strongest pattern in the available research is not that one fraud type dominates forever. It is that NFT crime keeps shifting across venues, mechanisms, and time periods, which makes the category hard to police and easy to underestimate.
- Over $8 million of illicit funds has been laundered through NFT-based platforms since 2017 (Elliptic NFTs and Financial Crime).
- Over $100 million worth of NFTs were publicly reported stolen through scams between July 2021 and July 2022 (Elliptic NFTs and Financial Crime).
- At least $44.2 billion worth of cryptocurrency was sent to ERC-721 and ERC-1155 contracts in 2021 (Chainalysis NFT Money Laundering and Wash Trading).
- One Treasury-backed study found 58% of Ethereum-based NFT trades in 2022 were associated with wash trading (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
Table of contents
- How big NFT fraud has become
- The main fraud types
- What wash trading looks like in the data
- What scams and thefts looked like by year
- Where the enforcement cases cluster
- What the numbers mean for marketplaces and collectors
How big NFT fraud has become
The cleanest way to understand NFT fraud statistics is to separate direct criminal proceeds from suspicious market activity. The first bucket is easier to count. The second bucket is much larger and often harder to prove, but it still signals a market where manipulation can be systemic.
A few anchor numbers set the scale:
- More than $8 million of illicit funds has been laundered through NFT-based platforms since 2017 (Elliptic NFTs and Financial Crime).
- That laundering total represented 0.02% of trading activity originating from known sources (Elliptic NFTs and Financial Crime).
- At least $44.2 billion worth of cryptocurrency was sent to ERC-721 and ERC-1155 contracts in 2021 (Chainalysis NFT Money Laundering and Wash Trading).
- That was up from just $106 million in 2020 (Chainalysis NFT Money Laundering and Wash Trading).
The jump from $106 million to $44.2 billion is the clearest single growth signal in the dataset. It does not prove fraud by itself, but it shows that NFT-related transfer volume became large enough to create serious opportunities for laundering, self-dealing, and spoofed market activity.
Fast facts
- July 2022 saw over 4,600 NFTs stolen, the highest month on record (Elliptic NFTs and Financial Crime).
- Tornado Cash was the source of $137.6 million of cryptoassets processed by NFT marketplaces (Elliptic NFTs and Financial Crime).
- Tornado Cash was the laundering tool of choice for 52% of NFT scam proceeds before OFAC sanctioned it in August 2022 (Elliptic NFTs and Financial Crime).
- NFT-related money laundering in 2021 was small compared with the $8.6 billion worth of cryptocurrency-based money laundering tracked that year (Chainalysis NFT Money Laundering and Wash Trading).
The main fraud types
NFT fraud is best read as a stack of overlapping behaviors rather than a single crime category. The source data points to five recurring patterns.
- Laundering through NFT platforms.
- Scam sales and outright theft of NFTs.
- Wash trading to inflate volume or reputation.
- Rug pulls and project-level investor fraud.
- Phishing, impersonation, and marketplace abuse.
Compact comparison
| Fraud pattern | What the data says | Source label |
|---|---|---|
| Laundering through NFT platforms | Over $8 million since 2017 | Elliptic NFTs and Financial Crime |
| Publicly reported stolen NFTs | Over $100 million between July 2021 and July 2022 | Elliptic NFTs and Financial Crime |
| Ethereum NFT wash trading in 2022 | 58% of trades associated with wash trading | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
| Estimated wash-trading-linked volume | Over $30 billion | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
| Crypto sent to ERC-721 and ERC-1155 contracts in 2021 | $44.2 billion | Chainalysis NFT Money Laundering and Wash Trading |
The table highlights a core theme: the visible criminal proceeds are large, but the suspicious trading layer is larger. That matters because marketplace integrity can be distorted even when a specific transaction never becomes a criminal charge.
What wash trading looks like in the data
Wash trading is one of the most important NFT fraud statistics because it affects how people interpret demand. A collection can look active, hot, or liquid when the volume is partly generated by the same actors moving value among themselves.
The source material gives several ways to measure that distortion.
- One treasury-backed study found 58% of Ethereum-based NFT trades in 2022 were associated with wash trading (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- The same study estimated over $30 billion in NFT trading volume may be linked to wash trading (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- Ethereum NFT marketplace monthly wash-trading volume peaked at $5.36 billion in January 2022 (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- It fell to just over $240 million in September 2023 (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- It was nearly $800 million in March 2024 (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
That monthly pattern is useful because it shows wash trading is not a one-time spike. It can expand, contract, and then reappear at meaningful levels.
Wash trading in context
Chainalysis identified 262 users who sold an NFT to a self-financed address more than 25 times (Chainalysis NFT Money Laundering and Wash Trading). Within that group:
- 110 were profitable wash traders, and they collectively made $8,875,315 (Chainalysis NFT Money Laundering and Wash Trading).
- 152 were unprofitable wash traders, and their combined losses were $416,984 (Chainalysis NFT Money Laundering and Wash Trading).
- Combined profit across all 262 wash traders was $8,458,331 (Chainalysis NFT Money Laundering and Wash Trading).
That is a strong signal that wash trading is not just noise or hobbyist experimentation. Some participants were able to extract real gains from market manipulation.
Another telling example: seller 1 made 830 sales to addresses they themselves had self-financed (Chainalysis NFT Money Laundering and Wash Trading). That kind of activity is difficult to interpret as organic market behavior.
What scams and thefts looked like by year
If wash trading is about false demand, the theft and scam data are about direct losses. These numbers show how fast the problem accelerated once NFT markets became mainstream enough to attract attackers.
Year and period markers
| Period | Statistic | Source label |
|---|---|---|
| 2021 to 2022 | Over $100 million worth of NFTs publicly reported stolen through scams | Elliptic NFTs and Financial Crime |
| July 2022 | Over 4,600 NFTs stolen, highest month on record | Elliptic NFTs and Financial Crime |
| April 2022 | Hackers used a creator?s compromised social account to steal NFTs worth over $40 million | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
| 2021 to 2022 | Roughly $284,000 sent to NFT marketplaces from sanctions-risk addresses in Q4 2021 | Chainalysis NFT Money Laundering and Wash Trading |
| 2022 | One DPRK-linked NFT phishing scheme used nearly 500 decoy websites | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
| 2022 | That scheme stole over 1,000 NFTs | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
| 2022 | The stolen NFTs were converted into ether worth over $350,000 | U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens |
The numbers also show that theft is not limited to one technical layer. The attack surface includes social engineering, phishing, account takeover, smart-contract abuse, and direct investor fraud.
Reported scam outcomes
- NFT scams netted perpetrators $300,000 per scam on average (Elliptic NFTs and Financial Crime).
- In June 2022, DOJ announced charges in a case involving over $100 million in intended losses tied to cryptocurrency fraud offenses that included NFT-related activity (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- In January 2023, IRS-CI charged Aurelien Michel with defrauding Mutant Ape Planet NFT purchasers of more than $2.9 million in virtual assets (U.S. Department of Justice, EDNY).
- The Mutant Ape Planet scheme allegedly stole nearly $3 million from investors for personal use (U.S. Department of Justice, EDNY).
- In June 2022, Le Anh Tuan and co-conspirators allegedly obtained approximately $2.6 million from investors in the Baller Ape Club rug pull (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
Taken together, these examples show that scam economics vary. Some operators chase smaller repeated gains, while others run large, headline-level schemes. Both patterns matter because they target different parts of the market.
Where the enforcement cases cluster
Enforcement data is not a complete map of the problem, but it tells you where authorities saw enough evidence to act. It also shows how NFTs intersect with broader digital-asset crime.
Investigative footprint
- As of July 2022, the FBI identified a digital-assets nexus in more than 1,100 investigations (U.S. DOJ digital assets report).
- Those investigations spanned more than 100 distinct investigative program areas (U.S. DOJ digital assets report).
- From January 2015 through July 2022, the Secret Service investigated more than 302 digital-asset cases (U.S. DOJ digital assets report).
- Those Secret Service cases led to 535 seizures (U.S. DOJ digital assets report).
- The Secret Service seizures had an appraised value of over $113.5 million (U.S. DOJ digital assets report).
- The Secret Service maintained 44 Cyber Fraud Task Forces (U.S. DOJ digital assets report).
The investigative footprint matters because NFT fraud often sits inside broader digital-asset schemes. A single case may involve social media compromise, wallet theft, laundering, and marketplace exploitation.
Case studies that shaped the record
- Nathaniel Chastain?s OpenSea NFT insider-trading scheme ran from June 2021 to September 2021 (U.S. DOJ digital assets report).
- Chastain allegedly bought dozens of NFTs before they were featured on OpenSea?s homepage (U.S. DOJ digital assets report).
- OpenSea was described as the largest online marketplace for buying and selling NFTs (U.S. DOJ digital assets report).
- Soufiane Oulahyane?s OpenSea spoofing scheme stole approximately $450,000 worth of cryptocurrency and NFTs in September 2021 (U.S. Department of Justice, SDNY).
- The Evolved Apes NFT scam involved three United Kingdom nationals charged in the case (U.S. Department of Justice, SDNY).
- The Evolved Apes indictment said thousands of people were tricked into buying the NFTs (U.S. Department of Justice, SDNY).
These cases matter less as isolated headlines and more as proof that NFTs can be used in classic fraud formats. The wrapper is new; the mechanics are often familiar.
What the numbers mean for marketplaces and collectors
The most important takeaway from these NFT fraud statistics is that trust can be damaged in several different ways at once. A marketplace may have real users, but if wash trading is common, the market signal is less reliable. A project may have real hype, but if phishing or impersonation is active, buyers can lose assets fast. A collection may attract legitimate demand, but if insider-style abuse or self-financed trading is present, price discovery becomes less trustworthy.
Practical signals to watch
- Abnormal volume that is not matched by broader community activity (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
- Repeated sales to self-financed addresses (Chainalysis NFT Money Laundering and Wash Trading).
- Sudden spikes in theft or scam reports, such as July 2022?s over 4,600 stolen NFTs (Elliptic NFTs and Financial Crime).
- Large fund flows through laundering tools such as Tornado Cash, which accounted for $137.6 million of cryptoassets processed by NFT marketplaces (Elliptic NFTs and Financial Crime).
- Collections or offers that rely heavily on urgency, social proof, or compromised accounts rather than transparent product value (U.S. Treasury Illicit Finance Risk Assessment of Non-Fungible Tokens).
Why scale matters
Some of the data points are small in absolute dollar terms compared with the largest crypto hacks. But the market impact is still meaningful because NFTs rely heavily on perception, provenance, and confidence. If those signals are contaminated, even modest losses can distort prices and behavior.
The research also suggests fraud is not evenly distributed. A limited set of actors can generate very large sums, while broad wash-trading activity can make an entire segment look healthier than it is. That mix is what makes NFT fraud statistics especially important for analysts, collectors, and marketplace operators.