How predictive wallet identification and parallel coordination helped close laundering routes while stolen assets were still moving.
When Upbit’s Solana hot wallet was compromised, multiple tokens began moving through a rapidly changing multi-chain laundering path. Recoveris engagement records valued the affected assets at more than USD 35 million at the time of the response. Public estimates later varied at roughly USD 30 million to USD 36 million as token values and reporting methods changed.
The incident value must not be confused with the outcome. Recoveris does not claim that USD 35 million was frozen or recovered. The documented result was that a portion of the stolen assets was frozen and several laundering routes were disrupted in real time.
Why was the laundering path difficult to contain?
The attackers did not rely on one blockchain or one cash-out route. Part of the stolen value moved through a nested service operating on a large centralized exchange. The assets were exchanged for ETH and dispersed across fresh Ethereum wallets. Those wallets were prefunded with gas, an operational signal that they were being prepared to receive and move additional proceeds.
Other assets remained on Solana, where the perpetrators still had several options. They could bridge value to another chain, exchange the tokens for assets with different control mechanisms, or move into privacy infrastructure. Each route required a different counterparty to act, including exchanges, token issuers, a bridge provider and privacy-service operators.
The challenge was therefore operational as well as forensic. A technically correct trace delivered after the assets had passed through every intervention point would have had limited practical value. The response had to predict likely destinations and put counterparties in a position to act before the next transfer arrived.
How did predictive wallet identification work?
Recoveris analysts reverse-engineered the nested exchange’s withdrawal pattern. Fresh Ethereum addresses with no prior transaction history were receiving ETH amounts consistent with gas prefunding. The timing and structure of those withdrawals created a behavioral pattern that could be compared with the attackers’ developing route.
That analysis identified probable destination wallets before the stolen assets reached them. When the attackers began bridging assets from Solana into Ethereum-based stablecoins, some of the proceeds arrived at addresses that were already under active monitoring.
Predictive identification changes the response sequence. Instead of discovering a destination after the transfer and then beginning the notification process, investigators can prepare evidence, alerts and contact paths while the transaction route is still forming.
How was action coordinated across services?
Recoveris pursued several intervention channels in parallel. Token issuers received evidence relevant to address-level restrictions. The bridge provider received wallet intelligence that could support flagging and monitoring. Exchange compliance teams were engaged around identifiable deposits and withdrawals.
A privacy protocol with a proof-of-innocence mechanism became another intervention point. That system could hold deposits when theft reports created a reason for review. After operators were alerted, deposits linked to the perpetrators began to be rejected, narrowing the route available to them.
The attackers then escalated to a high-profile mixer. Recoveris used probabilistic demixing and behavioral analysis to identify likely withdrawal relationships, even when funds were withdrawn and quickly redeposited into other privacy infrastructure. Confidence-scored analysis did not turn a mixer transfer into certainty, but it preserved a defensible investigative path for further action.
What was the documented outcome?
The response forced the perpetrators through a sequence of nested exchanges, cross-chain bridges, stablecoins, privacy services and mixer activity while investigators documented each transition. Several laundering channels were closed during the incident, and direct or coordinated action froze part of the stolen assets.
The published account does not quantify the total frozen amount, so this case should not be marketed with a recovery percentage. Freezing, preservation, seizure and return are separate stages. A freeze restricts movement. A seizure requires formal authority. Recovery describes value returned through the applicable legal process.
Following the engagement, Recoveris was retained on a standing mandate that provided the exchange with immediate incident-response capacity. That continuing arrangement is the operational lesson: the most valuable contacts, evidence templates and escalation routes are established before the next hot-wallet incident, not during it.
What should VASPs take from this case?
Multi-chain incident response requires more than transaction tracing. The investigation must combine wallet attribution, behavioral signals, bridge analysis, issuer action, exchange coordination and legal-process-ready documentation.
The Upbit case also shows why early intelligence can matter more than a perfect retrospective map. Prefunded gas wallets and repeated withdrawal structures can reveal where assets are likely to land. Acting on those signals can preserve options that disappear once the assets reach a mixer, an uncooperative service or a jurisdiction without an effective response route.
Sources: Recoveris investigations case summary, Recoveris services for businesses and VASPs, public reporting on the Upbit Solana hot-wallet breach, and the related 1inch Tornado Cash case study.
Prepare your incident-response route before assets move
If your exchange, protocol or users are affected by an on-chain incident, contact the Recoveris team to discuss tracing, evidence preservation and coordinated intervention.
