Enter Comet, a 2.76 PFLOPS system at the San Diego Supercomputing Center.
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The goal was to update Webroot’s phishing models several times per day. “We found it was taking us days to turn around a new machine learning model to catch phishing attacks, and it was slower than we wanted to go.”
As the volume of phishing data has risen along with the accelerated spinning up-tearing down of phishing campaigns, the company found itself unable to keep up with the rapid pace, despite dedicating more compute resources to the problem. Data is collected from tens of millions of end users whose companies purchase Webroot security solutions through the company’s 90 OEM partners. Lonas said Webroot for years has used machine learning to classify the web and to classify files for threat detection, typically using AWS- and on prem-based compute capabilities. “You can’t tell any more if you’re not going to a legit site like eBay or Microsoft or Google…, you can’t tell the difference any more.” Then they take it down so they can’t be caught, so the security vendors and authorities don’t catch up with them…, the bad guys take them down before they can be discovered.”Īlong with faster phishing timeframes, hackers also have “upped the fidelity,” the apparent authenticity of phishing sites. “Now the bad guys set up a phishing campaign and run it for literally minutes, then they get some people to click on (a fake web site). “It used to be that attack campaigns would get launched and last for days or weeks,” Lonas said in an interview with us earlier this month. Webroot, Broomfield, CO, combines machine learning with supercomputing to take on phishing, malware and other cyber frauds, while compiling – and growing – a threat intelligence database in machine readable format containing tens of millions of clues signaling illegitimate web sites.Īccording to Webroot CTO Hal Lonas, phishing is the most common cybersecurity threat, and the phishing attack landscape is becoming increasingly complex.
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For cyber-crooks, it’s a numbers game: the one in 10,000 user fooled into opening an email and updating a password on a “deep fake” ecommerce site – or, say, a fake IRS site – is a hacker win. Anyone with a laptop, some programming skills and a mother’s basement can buy or rent a phishing kit and start attacking – or it can be done by professionals with increasingly devious techniques. The relentless ingenuity driving cyber hacking is a global engine that knows no rest.
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