Engineering a Twitter spearphishing bot from machine learning

The term bot is derived from a web robot. A web robot is a type of that can perform automated tasks over the internet and it is enhanced with machine learning capabilities.

In 2014, established that 23 million bots operate on their platform. After analyzing 88 million accounts, another report from 2018 estimated that Twitter hosts at least 15,000 scam bots. Researchers used machine learning to depict how this automated architecture works.

But that trend of increasing bot activity online is rather ubiquitous — 76% of companies in the e-commerce, entertainment, travel and services sectors report that they have been targeted by bots in the past. According to another research report, bots generate as much as 59% of all online traffic on dating websites, social media services and even online poker websites.

How bots are used for phishing

Countless interactions occur between humans and chatbots. Nevertheless, many people may not realize they are not communicating with another human. Bots can prompt users to pay for membership fees — such was exactly the case concerning the Ashley Madison data . Other bots try to obtain users’ personal information. The goal of phishing is to

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