• Corpus ID: 16202945

Characterizing Seller-Driven Black-Hat Marketplaces The Curious Case of SEOClerks and MyCheapJobs

@inproceedings{Farooqi2015CharacterizingSB,
  title={Characterizing Seller-Driven Black-Hat Marketplaces The Curious Case of SEOClerks and MyCheapJobs},
  author={Shehroze Farooqi and Muhammad Ikram and Gohar Irfan and Emiliano De Cristofaro and Arik Friedman and Guillaume Jourjon and Mohamed Ali K{\^a}afar and Muhammad Zubair Shafiq and Fareed Zaffar},
  year={2015}
}
This paper investigates two seller-driven black-hat online marketplaces, SEOClerks and MyCheapJobs, aiming to shed light on the services they offer as well as sellers and customers they attract. We perform a measurement-based analysis based on complete crawls of their websites and find that the vast majority of services target popular social media and e-commerce websites, such as website backlinks, Instagram followers, or Twitter retweets, and estimate revenues to be at least $1.3M for… 

Figures and Tables from this paper

Knowledge is power: An analysis of discussions on hacking forums
TLDR
This research demonstrates that there exists an established online community of hackers, which is likely to be encountered by any young person who becomes interested in cybersecurity and hacking, and may potentially act as an important source of social support and social identity for their members.

References

SHOWING 1-10 OF 21 REFERENCES
Click Trajectories: End-to-End Analysis of the Spam Value Chain
TLDR
This paper quantifies the full set of resources employed to monetize spam email -- including naming, hosting, payment and fulfillment -- using extensive measurements of three months of diverse spam data, broad crawling of naming and hosting infrastructures, and over 100 purchases from spam-advertised sites.
Trafficking Fraudulent Accounts: The Role of the Underground Market in Twitter Spam and Abuse
TLDR
This work investigates the market for fraudulent Twitter accounts to monitor prices, availability, and fraud perpetrated by 27 merchants over the course of a 10-month period, and develops a classifier to retroactively detect several million fraudulent accounts sold via this marketplace.
Follow the green: growth and dynamics in twitter follower markets
TLDR
This paper presents a detailed study of Twitter follower markets, reports in detail on both the static and dynamic properties of customers of these markets, and develops and evaluates multiple techniques for detecting these activities.
Poultry markets: on the underground economy of twitter followers
TLDR
This paper studies the phenomenon of these Twitter Account Markets, and shows how their services are often linked to abusive behavior and compromised Twitter profiles.
Dirty Jobs: The Role of Freelance Labor in Web Service Abuse
TLDR
It is argued that there is an increasing role played by human labor markets in service abuse, and the largest classes of abuse work are identified, including account creation, social networking link generation and search engine optimization support.
Serf and turf: crowdturfing for fun and profit
TLDR
Through measurements, a significant effort to study and understand "crowdturfing" systems in today's Internet is described, finding surprising evidence showing that not only do malicious crowd-sourcing systems exist, but they are rapidly growing in both user base and total revenue.
An analysis of underground forums
TLDR
This paper empirically characterize six different underground forums examining the properties of the social networks formed within, the content of the goods and services being exchanged, and lastly, how individuals gain and lose trust in this setting.
Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace
TLDR
This paper presents a comprehensive data-driven measurement study of one prominent supply-driven marketplace – Fiverr – wherein it identifies the key features distinguishing “super sellers” from regular participants and develops a machine learning based approach for inferring the quality of gigs.
Paying for Likes?: Understanding Facebook Like Fraud Using Honeypots
TLDR
A comparative measurement study of page likes garnered via Facebook ads and by a few like farms is presented, which highlights a few interesting findings, including that some farms seem to be operated by bots and do not really try to hide the nature of their operations, while others follow a stealthier approach, mimicking regular users' behavior.
The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing
TLDR
This analysis of Fiverr shows that current security systems inadequately detect crowdsourced manipulation, which confirms the necessity of the proposed crowdturfing task detection approach.
...
...