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Detail Analysis

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Date:

Status:

Count:

Contributor:

October 15, 2013

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Verified

1

zerofriction.io

Loss Amount:

100,000

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Recovered Amount:

-

Currency:

Dollars, BTC

KYC By:

Audit By:

None

None

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Website:

No data

Twitter:

No data

Discord:

No data

Telegram:

No data

Medium:

No data

Github:

No data

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Key Indicators

Platform:

Type:

Category:

Method:

Bitcoin

Exchange

Assets

Poor Key Management

Extended Method:

Private key leak, hot wallet

Data Sources:

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Canadian Bitcoins is a cryptocurrency brokerage allowing customers to buy or sell bitcoins, litecoins and other cryptocurrencies. Canadian Bitcoins’ servers were being run by a company called Rogers Data Centre (who were technically in the process of taking the data centre over from its previous operator, Granite Networks). The Bitcoin thief started a customer service chat session with Granite Networks, the company hosting Canadian Bitcoins’ server, and claimed to have a problem with it. The hacker pretended to be Canadian Bitcoins CEO James Grant over instant message. According to a text copy of the chat session obtained by the Citizen, at no point during the nearly two-hour-long conversation was the caller asked to verify his identity. After being asked, the technical support worker gained access to Grant’s locked server pen, plugged in a laptop and then manually gave the fraudster access to Canadian Bitcoins servers, where he cleaned out a wallet containing 149.94 bitcoins, valued at around $100,000.

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DISCLAIMER: While Zero Friction LLC has used the best efforts in aggregating and maintaining this database, Zero Friction LLC makes no representations or warranties with respect to the accuracy or completeness, and specifically disclaim any implied warranties of merchantability or fitness for any particular purpose. 

Under no circumstances, shall Zero Friction LLC be liable for any loss of profit or funds, any regulatory or governmental penalties, any legal costs, or any other commercial and non-commercial damages, including but not limited to special, incidental, consequential, or other damages from any or all usage of the dataset or information derived from our database.