Analysis of Web Based Malware Essay

8264 Words Apr 11th, 2012 34 Pages
The Ghost In The Browser
Analysis of Web-based Malware
Niels Provos, Dean McNamee, Panayiotis Mavrommatis, Ke Wang and Nagendra Modadugu
Google, Inc.
{niels, deanm, panayiotis, kewang, ngm}

As more users are connected to the Internet and conduct their daily activities electronically, computer users have become the target of an underground economy that infects hosts with malware or adware for financial gain. Unfortunately, even a single visit to an infected web site enables the attacker to detect vulnerabilities in the user’s applications and force the download a multitude of malware binaries. Frequently, this malware allows the adversary to gain full control of the compromised systems leading to the
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Unfortunately, the user’s personal computer seems to be the weakest link in these transactions. Contrary to the small set of applications running in the tightly managed and frequently updated commercial servers, a personal computer contains a large number of applications that are usually neither managed nor updated. To make things worse, discovering older, vulnerable versions of popular applications is an easy task: a single visit to a compromised web site is sufficient for an attacker to detect and exploit a browser vulnerability. Therefore, the goal of the attacker becomes identifying web applications with vulnerabilities that enable him to insert small pieces of HTML in web pages. This
HTML code is then used as a vehicle to test large collec-

tions of exploits against any user who visits the infected page. In most cases, a successful exploit results in the automatic installation of a malware binary, also called drive-bydownload. The installed malware often enables an adversary to gain remote control over the compromised computer system and can be used to steal sensitive information such as banking passwords, to send out spam or to install more malicious executables over time. Unlike traditional botnets [4] that use push-based infection to increase their population, web-based malware infection follows a pull-based model and usually provides a looser

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