Drivesploit: Circumventing Both Automated AND Manual Drive-By-Download Detection
by Wayne Huang, Cofounder, President & CTO at Armorize Technologies on Jul 30, 2010
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Given at black hat and DEF CON 2010 by Wayne Huang and team. ...
Given at black hat and DEF CON 2010 by Wayne Huang and team.
DRIVESPLOIT: CIRCUMVENTING BOTH AUTOMATED AND MANUAL DRIVE-BY-DOWNLOAD DETECTION
This year saw the biggest news in Web security ever--Operation Aurora, which aimed at stealing source code and other intellectual properties and succeeded with more than 30 companies, including Google. Incidence response showed that the operation involved an IE 0-day drive-by-download, resulting in Google's compromise and leak of source code to jump points in Taiwan. The US Government is so concerned that they issued a demarche to the Chinese government.
Using real, live examples, we will show how easy it is to exploit injection-based, XSS-based, and CSRF-based vulnerabilities in FaceBook, Google, Digg, LinkedIn, and other popular websites, and inject drive-by downloads.
If drive-bys are so easy to inject into high-traffic websites, then the question becomes, how easy it is to make them undetectable by automated malware scanning services (such as Google's) and by human manual inspection? We will demonstrate how easy it is to defeat automated detection mechanisms and overview commonly used techniques.
Finally, we will present case studies on systems and processes that the largest organizations have put in place in order to fight against Web-based malware. We will also present case studies of our incidence response efforts with organizations hit by Web malware injections such as Google's aurora incident. Based in Taiwan, Co-speaker Wayne has been personally involved in such incidence response efforts since the late 90's.
All source codes related to POC exploits against FaceBook, Google, Digg, LinkedIn, etc, as well as source code of Drivesploit, will be released as open source at the conference.
Attendees will gain the following:
1. Understanding of drive-by downloads and associated terminologies.
2. Information about various drive-by download infection vectors.
3. Appreciation of tools helpful for drive-by analysis, including Malzilla, spikermonkey, rhino, burp and wepawet
4. Realize why drive-by downloads are hard to analyze and detect. Why antivirus fail, why behavior-based approaches fail, and why even manual efforts are difficult
5. Learning the Drivesploit framework and how it can be used to develop poc drive-bys
7. Learning how to implement above two using Drivesploit to defeat both automated and manual drive-by analysis
8. Knowledge about the available countermeasures to this threat
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