  While smishing (SMS Phishing) attacks have risen to become one of the most
common types of social engineering attacks, there is a lack of relevant
smishing datasets. One of the biggest challenges in the domain of smishing
prevention is the availability of fresh smishing datasets. Additionally, as
time persists, smishing campaigns are shut down and the crucial information
related to the attack are lost. With the changing nature of smishing attacks, a
consistent flow of new smishing examples is needed by both researchers and
engineers to create effective defenses. In this paper, we present the
community-sourced smishing datasets from the smishtank.com. It provides a
wealth of information relevant to combating smishing attacks through the
breakdown and analysis of smishing samples at the point of submission. In the
contribution of our work, we provide a corpus of 1090 smishing samples that
have been publicly submitted through the site. Each message includes
information relating to the sender, message body, and any brands referenced in
the message. Additionally, when a URL is found, we provide additional
information on the domain, VirusTotal results, and a characterization of the
URL. Through the open access of fresh smishing data, we empower academia and
industries to create robust defenses against this evolving threat.
