1.2 billion people exposed in biggest data leak ever?!

4TB of data leaked exposes over 1.2 billion people -- one of the largest data leaks from a single source in HISTORY.

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Gaming Editor
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In what has become one of the largest data leaks from a single source in history, the personal data of over 1.2 billion people has been exposed -- including names, email addresses, phone numbers, LinkedIn, Facebook, Twitter and more.

1.2 billion people exposed in biggest data leak ever?! | TweakTown.com

The leak was discovered by Bob Diachenko and Vinny Troia on October 16, 2019 in an open Elasticsearch server that had 4 billion user accounts inside of over 4TB of data. There were 1.2 billion unique people discovered inside of the leak, residing on an unprotected and totally-open Elasticsearch server with no password or any means of authentication protecting it -- so you could just download all 4TB of it easily.

The data in question comes from two brokerages, with California-based People Data Labs selling the data to advertisers who could use them for commercial purposes. User content to use this data commercially has not been approved, according to Troia. This particular data set has 622 million email addresses, 50 million unique phone numbers, and a bunch of different details from social media platforms.

3 out of 4 of the indexes discovered originated from People Data Labs, packing details of over 1.2 billion people -- while the last one comes from OxyData.io and has details exclusively from LinkedIn.

You can check if you've been exposed on HaveIBeenPwned.com

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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