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Trump's team exposed private data of 198 million U.S. voters online

Staff Writer |
In what is the largest known data exposure of its kind, UpGuard’s Cyber Risk Team confirmed that a misconfigured database containing the sensitive personal details of over 198 million American voters was left exposed to the internet.

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That happened by a firm working on behalf of the Republican National Committee (RNC) in their efforts to elect Donald Trump.

The data, which was stored in a publicly accessible cloud server owned by Republican data firm Deep Root Analytics, included 1.1 terabytes of entirely unsecured personal information compiled by DRA and at least two other Republican contractors, TargetPoint Consulting, Inc. and Data Trust.

In total, the personal information of potentially near all of America’s 200 million registered voters was exposed, including names, dates of birth, home addresses, phone numbers, and voter registration details, as well as data described as “modeled” voter ethnicities and religions.

This disclosure dwarfs previous breaches of electoral data in Mexico also discovered by Vickery and the Philippines by well over 100 million more affected individuals, exposing the personal information of over sixty-one percent of the entire U.S. population.

The data exposure provides insight into the inner workings of the Republican National Committee’s $100 million data operation for the 2016 presidential election, an undertaking of monumental scope and painstaking detail launched in the wake of Mitt Romney’s loss in 2012.

Deep Root Analytics, TargetPoint, and Data Trust—all Republican data firms—were among the RNC-hired outfits working as the core of the Trump campaign’s 2016 general election data team, relied upon in the GOP effort to influence potential voters and accurately predict their behavior.

The RNC data repository would ultimately acquire roughly 9.5 billion data points regarding three out of every five Americans, scoring 198 million potential U.S. voters on their likely political preferences using advanced algorithmic modeling across forty-eight different categories.

Spreadsheets containing this accumulated data—last updated around the January 2017 presidential inauguration—constitute a treasure trove of political data and modeled preferences used by the Trump campaign.

This data was also exposed in the misconfigured database and had been for an unknown period of time.


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