February 2019

[eBook] Protecting Fortune 500 Companies with Dark Web Data Collection

Posted on February 26, 2019 by

In recent years, it seems like not a day goes by without an announcement of a hack or data breach from a highly reputable company – whether Facebook, British Airways, or the Marriott. With the amount of data available online constantly expanding at a infinite rate lies a golden opportunity for hackers. Statistics have shown

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What We Learned at HLS & Cyber 2018

Posted on November 19, 2018 by

This year Webhose attended the HLS & Cyber 2018 in Tel Aviv. The conference brought together 5,000 people from over 190 companies representing 85 countries to share their insights on where HLS (homeland security) and Cyber are heading, as well as to exchange ideas and gain perspectives on how to combat the ever-growing security threats.

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Structuring the Dark Web!

Posted on January 24, 2018 by

We’ve recently launched an exciting new addition to our dark web data feed (as featured on Betanews, ProgrammableWeb, and elsewhere): now, in addition to industry-leading breadth of coverage of the TOR network, we’ll also be structuring the extracted data so that it fits into a similar JSON format as our open web data feeds. The

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Crawling the Dark Web to Detect the Next Market

Posted on July 25, 2017 by

Over the past few days, the internet has been abuzz with talk of the recent blows dealt by law enforcement to two major dark web “marketplaces”, AlphaBay and Hansa market; and the subsequent suicide of Alexander Cazes – the Canadian programmer-turned-criminal mastermind behind AlphaBay, who ended his own life in a Thai prison while awaiting

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How web data saves lives, identifies threats, and brings criminals to justice

Posted on February 16, 2017 by

The Webhose.io team will remember February 13th 2017 primarily because of the opportunity to present at i-HLS Big Data alongside Fortune 500 leaders including IBM, SAP, and Dell. Over 500 participants convened to learn how homeland security and law enforcement agencies are using big data to serve and protect. Of particular interest was the role

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