Technology That Found JASBUG Vulnerability Used to Uncover Winner of Republican Presidential Debate

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With US presidential nomination debates in full swing, a tool called DataPulse has been on the campaign trail using the big data technology and techniques that discovered JASBUG to monitor the popularity of candidates.

The day after the third Republican presidential debate last week, DataPulse found that traffic to Florida Senator Marco Rubio’s website spiked 40 percent, showing increased interest in him as a presidential candidate, which seems substantiated by other reports.

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For the Republican debates, DataPulse was applied to campaign sites of the individual candidates, but it can be applied to any website to show changes in web traffic over discrete periods of time at a highly granular level.

The graph below shows the traffic for each domain throughout the course of the debate last week.

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DataPulse was developed as a joint-venture between online threat specialists JAS Global and simMachines, a provider of similarity-oriented solutions for Advanced Analytics.

DataPulse uses the same real-time web traffic monitoring technology that JAS Global founder and CEO Jeff Schmidt used earlier this year to discover JASBUG, a fundamental design flaw and critical vulnerability that has been present in Windows systems for at least a decade. JAS Global said the vulnerability was found by “applying ‘big data’ analytical techniques to very large (and relatively obscure) technical datasets.”

JAS Global said its DataPulse methodology is more precise than tools like Compete and Alexa because it gets data directly from observations of Internet Infrastructure data rather than extrapolating data based on a sample.

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