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Investigators trace stolen cryptocurrency by starting with a known wallet address or transaction, following transfers through public blockchain records, and checking whether the trail connects to exchanges or other services that hold additional records. That can reveal where assets moved and produce leads, but it does not automatically identify a person or recover the funds: addresses are pseudonymous, and tracing, attribution and recovery are separate outcomes.
What investigators need to start a trace
A victim report or complaint may supply the first address or transaction identifier. Investigators also establish which asset was taken and when the theft likely occurred. Those details define the starting point for examining ledger activity; an address by itself does not prove who controlled it.
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For an incident report, preserve the transaction identifiers, wallet addresses, asset names, approximate times, and any records of communications or service interactions. These details can help investigators find the relevant ledger activity and compare it with other evidence.
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How the trail is followed
1. Map transactions on the original network
Public blockchains record transfers between cryptographic addresses. Analysts follow the known transaction forward, examining subsequent destinations, amounts, timing, and transaction inputs and outputs. The ledger shows activity between addresses; it does not, on its own, label those addresses with people’s names.
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A U.S. Department of Justice forfeiture complaint filed August 27, 2020, described analysts using transaction data to group addresses into clusters. Such grouping can help reveal patterns or paths that converge, but a cluster is an analytical inference, not proof of a shared owner.
2. Track conversions and movement between chains
Stolen value may be converted into another token, routed through a swap service, or moved to a different blockchain. Each network has its own transaction records, so investigators must connect the outgoing activity on one ledger with corresponding activity or service interactions elsewhere. Chainalysis uses the term “chain hopping” for movement between currencies.
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The 2020 DOJ complaint described an alleged theft involving roughly $28.7 million in cryptocurrency and traced funds through intermediary addresses, conversions, and exchanges. It is a historical, case-specific example—not a measure of current thefts or a guarantee that every cross-chain movement can be linked.
3. Look for service-provider records
If funds reach a custodial exchange or another service, investigators may seek transaction and account records through applicable investigative processes. Those records can connect an address or transaction to information such as account registration. Their usefulness depends on what the service holds and whether the information is accurate.
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In the 2020 complaint, an exchange account was associated with an email address and KYC information, while the filing also described limits in the information available. In another episode, the complaint said an exchange declined to convert funds it identified as connected to a hack and froze them under its internal policies. That is an example of one provider’s action in one case, not a general rule that services will freeze assets.
4. Corroborate the trail with evidence beyond the blockchain
Investigators may combine ledger analysis with exchange records, emails, IP address data, seized records, communications, or other evidence. That combination can support an attribution to an entity or person. A transaction graph alone generally establishes a pattern of asset movement, not the real-world identity of the person behind an address.
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5. Document the analytical path
A useful investigative record identifies transaction IDs, timestamps, assets, the basis for any address clustering, relevant service interactions, and corroborating evidence. Keeping assumptions visible matters: a graph can organize a theory of how funds moved, but its conclusions depend on the quality of the data and the support for each inferred connection.
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- Pseudonymous addresses: Ledger activity is visible, but addresses are strings of characters rather than names. A person may use many addresses.
- Swaps and chain hops: Converting assets or moving value across networks splits the trail across different ledgers and makes activity harder to correlate.
- Many intermediary transfers: Layering and address proliferation increase the number of transactions and relationships analysts must examine. The 2020 DOJ complaint described thousands of transactions in a historical North Korea case, as well as many specific transfers and clusters in the case it addressed.
- Mixing and added hops: In a 2024 charging announcement, the U.S. Attorney’s Office for the Southern District of New York alleged that Samourai’s Whirlpool mixed transaction batches and that Ricochet added intermediate transactions to conceal fund origins. Those descriptions are allegations in a charging release, not findings to state as established fact.
- Gaps in off-chain records: A service may be in a jurisdiction where records are difficult to obtain, may hold limited customer information, or may have inaccurate information. The 2020 complaint described falsified KYC information and OTC brokers in its historical example; those details should not be generalized to every service.
These obstacles can make a trace harder, but they do not establish that funds are categorically untraceable. The DOJ’s 2020 filing describes investigators following funds through conversions and intermediaries, including an instance in which an exchange stopped a conversion after identifying a connection to a hack.
Tracing, identifying a suspect, and recovering funds are different outcomes
| Outcome | What it means | What it does not establish by itself |
|---|---|---|
| Tracing | Available records support a path of asset movements between addresses or services. | The identity of the person controlling an address, or that funds have been recovered. |
| Attribution | Analysis and corroborating records support an inference that an address or cluster is controlled by a particular entity or person. | Guilt, or an automatic right to seize or return assets. |
| Recovery | An authority or service actually freezes, seizes, or returns assets through an applicable process. | A guaranteed result whenever investigators can trace a path. |
A trace may identify a service where investigators can seek records or where intervention might be possible. It does not itself require a provider to freeze assets or return them to a victim. The frozen funds described in the DOJ complaint depended on that exchange’s internal policies in that particular episode.
What professional tracing tools can—and cannot—tell you
Professional analysis platforms help organize large transaction graphs, show links between addresses, and display vendor-supplied labels. Chainalysis currently describes its Reactor product as covering 27+ blockchains and 40 million+ assets, including the ability to follow funds through swaps, bridges, decentralized exchanges, and mixers. The company also reports coverage of 325M+ swaps and 300+ bridges and decentralized exchanges. These are vendor-published figures on its product page accessed October 9, 2026, not independently audited coverage or proof that a particular case will yield a defensible identity.
Chainalysis also describes Reactor as linking on-chain activity to real-world entities through attribution and clustering. Treat those labels as leads whose basis and relevance should be assessed, not as independent proof of identity. A vendor product description is not a guarantee of accuracy or recovery.
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For law-enforcement readers, Chainalysis says its Operation Spincaster involved $187M+ in scam losses exposed, 7,000+ leads, 19 agencies, and 18 exchanges across six countries. These are company-reported program outcomes on its law-enforcement page accessed October 9, 2026; they are not an independent evaluation of tracing accuracy or a forecast for an individual case.
Questions to ask when evaluating an investigation platform
- Does it support the specific chains and assets involved in the incident?
- How does it handle bridges, swaps, decentralized exchanges, and mixers in one workflow?
- Where do address labels and clusters come from, how are they updated, and can their basis be examined?
- Can it preserve transaction graphs, analyst notes, assumptions, and reports in an auditable record?
- Can it work alongside device forensics and other off-chain investigative tools?
- What security, deployment, data-residency, training, and case-support requirements apply?
The sources cited here do not provide an independent head-to-head comparison of commercial tracing platforms, so they do not establish a universally best tool or a general detection-accuracy rate.
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