Extração e análise de publicações associadas à cibersegurança no Pastebin

Abstract

Pure-text sharing tools allows the anonymous sharing of any kind of text. One of the oldest and most used tools is Pastebin. The goal of this monography is to analyse the relevance of texts (known as pastes), that were posted on Pastebin, to Cybersecurity: how to extract and identify information that can be useful to proactive and quickly reactive actions to protect computer networks and systems. In order to identify such information, the methods used were regular expressions, keywords, word count, frequency of bigrams, trigrams and quadgrams and classification’s algorithms. The collector ran for 21 days and 3650 pastes were manually inspected. A base of knowledgement was built using the chraracteristics extracted. Because of it,was possible to know that there are sensible information,like financial and personal data and cracked programs hosted on Pastebin. This kind of information allow better answer to cyber threatments.