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Case Study: Rental Scams

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Understanding Social Engineering Based Scams

Abstract

In this chapter, a systematic empirical study of the online rental scams on Craigslist and its ecosystem is presented. By developing several effective detection techniques, several major rental scam campaigns on Craigslist were identified. In addition, a system was built to automatically contact suspected rental scammers, which enabled us to understand what support infrastructure they used and how they were monetizing their postings.

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Notes

  1. 1.

    According to the affiliate program of Rental Verified, which is used by one of the credit report campaigns we found, it pays up to $18 per customer (https://rentalverified.com/affiliates).

  2. 2.

    http://www.clpvashop.com/packages.html.

References

  1. 800Notes Phone Number Lookup. http://800notes.com/

  2. J. Buchanan, A.J Grant, Investigating and prosecuting Nigerian fraud. U. S. Attorneys’ Bull. 49 (6), 39–47 (2001)

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  3. C. Johnson, Fakers, breachers, slackers, and deceivers: opportunistic actors during the foreclosure crisis deserve criminal sanctions. Cap. Univ. Law Rev. 40 (4) (2012)

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  4. Y. Park, J. Jones, D. McCoy, E. Shi, M. Jakobsson, Scambaiter: understanding targeted Nigerian scams on Craigslist, in NDSS (2014)

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  5. Report Craigslist Scams. http://reportcraigslistscams.com/

  6. Ripoff Report. http://www.ripoffreport.com/

  7. United States Census Bureau. http://www.census.gov/

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Author information

Authors and Affiliations

  1. New York University, New York, USA

    Damon McCoy

  2. University of Maryland, Maryland, USA

    Youngsam Park

  3. Cornell University, Ithaca, USA

    Elaine Shi

  4. Agari, Portola Valley, USA

    Markus Jakobsson

Authors
  1. Damon McCoy
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  2. Youngsam Park
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  3. Elaine Shi
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  4. Markus Jakobsson
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Editor information

Editors and Affiliations

  1. Agari, Portola Valley, California, USA

    Markus Jakobsson

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© 2016 Springer Science+Business Media New York

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McCoy, D., Park, Y., Shi, E., Jakobsson, M. (2016). Case Study: Rental Scams. In: Jakobsson, M. (eds) Understanding Social Engineering Based Scams. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6457-4_9

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  • DOI: https://doi.org/10.1007/978-1-4939-6457-4_9

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-6455-0

  • Online ISBN: 978-1-4939-6457-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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