Studying Malicious Websites and the Underground Economy on the Chinese Web

نویسندگان

  • Jianwei Zhuge
  • Thorsten Holz
  • Chengyu Song
  • Jinpeng Guo
  • Xinhui Han
  • Wei Zou
چکیده

The World Wide Web gains more and more popularity within China with more than 1.31 million websites on the Chinese Web in June 2007. Driven by the economic profits, cyber criminals are on the rise and use the Web to exploit innocent users. In fact, a real underground black market with thousand of participants has developed which brings together malicious users who trade exploits, malware, virtual assets, stolen credentials, and more. In this paper, we provide a detailed overview of this underground black market and present a model to describe the market. We substantiate our model with the help of measurement results within the Chinese Web. First, we show that the amount of virtual assets traded on this underground market is huge. Second, our research proofs that a significant amount of websites within China’s part of the Web are malicious: our measurements reveal that about 1.49% of the examined sites contain some kind of malicious content.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Anomaly-based Web Attack Detection: The Application of Deep Neural Network Seq2Seq With Attention Mechanism

Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...

متن کامل

Analyzing new features of infected web content in detection of malicious web pages

Recent improvements in web standards and technologies enable the attackers to hide and obfuscate infectious codes with new methods and thus escaping the security filters. In this paper, we study the application of machine learning techniques in detecting malicious web pages. In order to detect malicious web pages, we propose and analyze a novel set of features including HTML, JavaScript (jQuery...

متن کامل

A multidimensional analysis of malicious and compromised websites. (Plusieurs axes d'analyse de sites web compromis et malicieux)

The World Wide Web has become necessary to the lives of hundreds of millions of people, has allowed society to create new jobs, new marketplaces, new leisure activities as well as new ways of sharing information and money. Unfortunately, however, the web is also attracting more and more criminals who see it as a new means of making money and abusing people’s property and services for their own ...

متن کامل

Representing a method to identify and contrast with the fraud which is created by robots for developing websites’ traffic ranking

With the expansion of the Internet and the Web, communication and information gathering between individual has distracted from its traditional form and into web sites. The World Wide Web also offers a great opportunity for businesses to improve their relationship with the client and expand their marketplace in online world. Businesses use a criterion called traffic ranking to determine their si...

متن کامل

اقتصاد زیرزمینی و تأثیر آن بر

Hidden nature of underground economy makes it difficult to measure and carry out a direct study on it . Thus, most of the common measurement methods are the ones that indirectly estimate the extent of these activities and suffer from restrictive assumptions. In the past two decades, economists began to pay attention to measurement of underground economy volume and its causes and effects more t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008