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Understanding Craigslist Rental Scams

  • Youngsam ParkEmail author
  • Damon McCoy
  • Elaine Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9603)

Abstract

Fraudulently posted online rental listings, rental scams, have been frequently reported by users. However, our understanding of the structure of rental scams is limited. In this paper, we conduct the first systematic empirical study of online rental scams on Craigslist. This study is enabled by a suite of techniques that allowed us to identify scam campaigns and our automated system that is able to collect additional information by conversing with scammers. Our measurement study sheds new light on the broad range of strategies different scam campaigns employ and the infrastructure they depend on to profit. We find that many of these strategies, such as credit report scams, are structurally different from the traditional advanced fee fraud found in previous studies. In addition, we find that Craigslist remove less than half of the suspicious listings we detected. Finally, we find that many of the larger-scale campaigns we detected depend on credit card payments, suggesting that a payment level intervention might effectively demonetize them.

Keywords

Phone Number Federal Trade Commission Legitimate User Rental Section Email Account 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We thank Markus Jakobsson and the anonymous reviewers for their valuable feedback. This work was supported by the National Science Foundation grant CNS-1619620. This work was funded in part by NSF grants CNS-1314857, CNS-1453634, CNS-1518765, CNS-1514261, a Packard Fellowship, a Sloan Fellowship, two Google Faculty Research Awards, a VMWare Research Award, and an NSA Lablet grant.

Supplementary material

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Copyright information

© International Financial Cryptography Association 2017

Authors and Affiliations

  1. 1.University of MarylandCollege ParkUSA
  2. 2.New York UniversityNew YorkUSA
  3. 3.Cornell UniversityIthacaUSA

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