Agarwal, Sharad;
Papasavva, Antonis;
Suarez-Tangil, Guillermo;
Vasek, Marie;
(2025)
Fishing for Smishing: Understanding SMS Phishing Infrastructure and Strategies by Mining Public User Reports.
In:
Proceedings of the ACM Internet Measurement Conference 2025.
ACM: Madison, Wisconsin, USA.
(In press).
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Abstract
Recently, there has been a worldwide surge in SMS phishing, aka smishing. However, the lack of open-access updated datasets makes it challenging for researchers to study this global issue. Mobile network operators and government agencies provide users special SMS spam reporting services. Though, these services are regional and users are largely unaware. So, users often turn to public forums such as Twitter or Reddit to report and discuss smishing. This paper presents a novel methodological approach to collect an updated smishing dataset and measure the infrastructure, targets, and strategies employed by attackers to lure victims. We programmatically collect users’ smishing reports from five public forums, collating over 64.5
| Type: | Proceedings paper |
|---|---|
| Title: | Fishing for Smishing: Understanding SMS Phishing Infrastructure and Strategies by Mining Public User Reports |
| Event: | ACM Internet Measurement Conference 2025 |
| Location: | Madison, Wisconsin, USA |
| Dates: | 28 Oct 2025 - 31 Oct 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3730567.3764431 |
| Publisher version: | https://doi.org/10.1145/3730567.3764431 |
| Language: | English |
| Additional information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | smishing; cybercrime; sms scam; online financial fraud |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10214522 |
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