Scammer tied to Task platform loses over 60 BTC in Ledger wallet drain
Security & Exploits ·
Chainalysis traced the loss of more than 60 BTC, roughly $4.8 million, from a scammer after attackers drained three separate Ledger wallet addresses.
The firm's tracing identified the victim as a scammer connected to the Task platform, with the stolen funds pulled from three distinct Ledger-associated wallets in what has been described as a coordinated theft, according to wublockchain.xyz. Chainalysis did not disclose, in the material reviewed, how the thieves gained access to the three wallets or whether the addresses shared a common custodian, seed phrase exposure, or device compromise.
The case fits into Chainalysis's broader work tracking illicit crypto flows, a practice the firm has applied across other recent incidents, including its tracing of a $25 million exploit on Resolv to a compromised AWS key that minted 80 million unbacked USR. That pattern of attributing on-chain theft to a specific technical failure point mirrors the structure of the Task-linked case, where attackers appear to have targeted multiple wallets tied to a single actor rather than a single address.
Two sources in the current cluster corroborate the core figures: the scammer's loss exceeded 60 BTC, and the funds were removed from three Ledger wallets. Neither account, based on the material available, specifies the exact timing of the drain, the identity of the attackers, or whether any of the stolen 60-plus BTC has since moved through exchanges, mixers, or other services that Chainalysis's attribution tools typically track.
What remains unresolved is the method of compromise across the three wallets and whether Chainalysis or law enforcement will pursue further tracing of the stolen funds' destination. Given the firm's stated role in combining on-chain clustering with off-chain data to attribute addresses to real-world actors, any follow-up disclosure would likely focus on where the 60-plus BTC eventually surfaces and whether it can be linked to known laundering typologies.