In cybersecurity, news regarding new vulnerabilities appears continuously every day through an array of various sources. These fall under the umbrella of open-source intelligence (OSINT). Yet not all vulnerabilities generate the same level of interest and length of discussion.  The goal of the approach presented here is to extract the underlying concepts from underground discussions and OSINT, in order to generalize which vulnerabilities might receive more attention from attackers   

Automating Threat Intel with Machine Learning

François

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Automating Threat Intel with Machine Learning