Official MASTR logo MASTR Support the work
Contents
← Wiki home

Crypto history

2016–2024: the Bitfinex theft, laundering and later sentencing

The stolen bitcoin amount, later dollar valuations and recovered assets describe different stages of one case.

Incident history · 2016–2024 records · 1 min read

Research articles and reference entries are published in English. Navigation is available in seven languages.

People & projects

In this article
  1. The theft and the later case
  2. Do not inflate the loss by changing the clock
  3. Sources and originals

The theft and the later case

Approximately 120,000 bitcoin was stolen from Bitfinex in 2016. On 14 November 2024, Ilya Lichtenstein received a 5-year sentence for his involvement in the money-laundering conspiracy arising from that theft. The Justice Department's account connects the original breach to later concealment and laundering activity.

The long interval matters. A public transaction history can remain available while investigators work to establish control of addresses, access credentials and real-world relationships. Moving funds repeatedly creates more records, but every hop still needs interpretation.

Do not inflate the loss by changing the clock

The bitcoin units taken, their dollar value on the theft date and the later value of seized assets are separate figures. A headline written years later can use a much larger dollar amount without a second theft having occurred.

Likewise, seizure is not automatically final repayment to every affected account. Ownership and distribution can require legal proceedings. Wallet attribution explains the evidentiary step between a transaction path and a responsible person; reconciliation explains why adding successive transfers of the same funds produces an inflated total.

Sources and originals

Related reading

history

Coincheck NEM theft

Coincheck reported a major theft of NEM held by the exchange in January 2018.

MASTR

Support independent research

The investigations, original evidence and guides here are free to read. Voluntary donations help fund the research and keep MASTR’s tools available.

Open wallet