Introduction
In this study, we analyzed how long phishing pages survive as well as the signs they show when they become inactive. In addition to the general data, we provided a number of options for classifying phishing pages according to formal criteria and analyzed the results for each of them.
The resulting data and conclusions could be used to improve mechanisms for re-scanning pages which have ended up in anti-phishing databases, to determine the response time to new cases of phishing, and for other purposes.
