phishing

Should I Click: a Machine Learning Based Tool to Analyze if a URL is Safe to Click

The great majority of attacks, including targeted attacks, start with a link in an email, chat or sms. Phishing websites have been on the rise for the last decade, and their number is even bigger than websites hosting malware. Nowadays it’s easy to become a victim of such attacks, mostly when under pressure or when it’s hard to verify if the URL we clicked on is the right one. For this reason Should I Click was born. In this blog post we would like to introduce this new service, how it works, and how it can help protect our civil society from digital threats.