Where's the Money in Cyber-Crime? An Analysis of Reshipping Mule Scams
Speaker/Bio
MANUEL EGELE is an Assistant Professor in the Department of Electrical
and Computer Engineering at Boston Univserity (BU). He also holds an
affiliate appointment with the Computer Science department at BU and is
a Junior Fellow at the Hariri Institute of Computing. Prior to his
appointment at BU, he was a Systems Scientist at Carnegie Mellon
University. Before that, he was a post-doctoral researcher at the
Computer Security Group of the Department of Computer Science at the
University of California, Santa Barbara. He received his M.Sc. (2006)
and Ph.D. (2011) degrees in computer science from the University of
Technology in Vienna. His research interests span all areas of systems
security – in particular mobile and embedded systems security, privacy,
and malicious code analysis.
His current research interests include the large-scale and automated
analysis of embedded systems firmware that controls the computing
devices in our daily lives, such as WiFi routers, surveillance cameras,
or a variety of Internet of Things (IoT) gadgets. He is also interested
in the threat posed and the mitigation of malicious software that
encrypts a victim's files to extort a ransom payment in exchange for
the decryption keys (so-called ransomware). His research on privacy
violations in iOS applications (PiOS) won a distinguished paper award
at the Network and Distributed Systems Security Symposium (2011).
Abstract
In this talk we present our analysis on a prolific aspect in
cyber-crime, so-called reshipping scams. While compromises at various
retailers and other businesses frequently disclose credit card
information, turning that information into cash is a non-trivial
endeavor. Cyber criminals have implemented and operated elaborate
schemes, featuring reshipping mules, "customer service", and other
business-like aspects to accomplish this task. Our analysis of a trove
of data about such scams indicates that a single operation can easily
make US$ 7M per year, and we estimate the overall impact of these scams
at US$ 1.8B. Finally, our analysis also reveals possible approaches for
intervention which stake-holders could implement to thwart reshipping
scams.