Phishing Websites

Donated on 3/25/2015

This dataset collected mainly from: PhishTank archive, MillerSmiles archive, Google’s searching operators.

Dataset Characteristics

Tabular

Subject Area

Computer Science

Associated Tasks

Classification

Feature Type

Integer

# Instances

11055

# Features

30

Dataset Information

Additional Information

One of the challenges faced by our research was the unavailability of reliable training datasets. In fact this challenge faces any researcher in the field. However, although plenty of articles about predicting phishing websites have been disseminated these days, no reliable training dataset has been published publically, may be because there is no agreement in literature on the definitive features that characterize phishing webpages, hence it is difficult to shape a dataset that covers all possible features. In this dataset, we shed light on the important features that have proved to be sound and effective in predicting phishing websites. In addition, we propose some new features.

Has Missing Values?

No

Introductory Paper

An assessment of features related to phishing websites using an automated technique

By R. Mohammad, F. Thabtah, L. Mccluskey. 2012

Published in International Conference for Internet Technology and Secured Transactions

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
having_ip_addressFeatureIntegerno
url_lengthFeatureIntegerno
shortining_serviceFeatureIntegerno
having_at_symbolFeatureIntegerno
double_slash_redirectingFeatureIntegerno
prefix_suffixFeatureIntegerno
having_sub_domainFeatureIntegerno
sslfinal_stateFeatureIntegerno
domain_registration_lengthFeatureIntegerno
faviconFeatureIntegerno

0 to 10 of 31

Additional Variable Information

For Further information about the features see the features file in the data folder.

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1 citations
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Creators

Rami Mohammad

Lee McCluskey

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