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Web-Defense - client-side protection against web attacks

Web-Defense - client-side protection against web attacks

Engin Kirda (ORCID: )
  • Grant DOI 10.55776/P18764
  • Funding program Principal Investigator Projects
  • Status ended
  • Start October 1, 2006
  • End March 31, 2010
  • Funding amount € 230,853

Disciplines

Computer Sciences (100%)

Keywords

    Security, Web security, Phishing, Cross-site scripting attacks, Spyware

Abstract Final report

The Internet, and in particular the world-wide web, have become part of the everyday life of millions of people. In recent years, however, it has also turned into a hostile and dangerous place. Besides traditional attacks against web servers and web-based applications, attackers are increasingly aiming at end-users. Novel threats have emerged in which the adversaries are not only interested in taking control of remote machines, but also in stealing sensitive information from their users. A common theme among such client-side attacks, which include phishing, cross-site scripting attacks, and spyware, is that sensitive information in possession of the victim is illicitly transmitted to the attacker. That is, an unauthorized information flow from the victim to the attacker occurs. As a result, the attacker can obtain access to authentication tokens such as passwords or session cookies and personal data such as credit card or social security numbers. This information is then abused for online fraud and identity theft. Traditional attack venues such as buffer overruns or exploits of input validation errors have been known for a long time and are widely understood. As a result, a large number of defense mechanisms have been devised. For client- side attacks, however, only a few viable defense solutions have emerged so far. These techniques often focus on one particular problem area only and fail to address the larger and more general problem of unauthorized information flow attacks. In this project, we propose to develop novel client-side defense solutions that protect users from unintentional disclosure of sensitive information. The idea is to put client-side attacks into a unified context and analyze their common and distinct properties. The result is a model to characterize client-side attacks that helps to identify regions in the solution space that have not been explored so far. Based on our model, we will develop practical techniques to counter the identified threats.

The Internet, and in particular the world-wide web, have become part of the everyday life of millions of people. In recent years, however, it has also turned into a hostile and dangerous place. Besides traditional attacks against web servers and web-based applications, attackers are increasingly aiming at end-users. Novel threats have emerged in which the adversaries are not only interested in taking control of remote machines, but also in stealing sensitive information from their users. A common theme among such client-side attacks, which include phishing, cross-site scripting attacks, and spyware, is that sensitive information in possession of the victim is illicitly transmitted to the attacker. That is, an unauthorized information flow from the victim to the attacker occurs. As a result, the attacker can obtain access to authentication tokens such as passwords or session cookies and personal data such as credit card or social security numbers. This information is then abused for online fraud and identity theft. Traditional attack venues such as buffer overruns or exploits of input validation errors have been known for a long time and are widely understood. As a result, a large number of defense mechanisms have been devised. For client-side attacks, however, only a few viable defense solutions have emerged so far. These techniques often focus on one particular problem area only and fail to address the larger and more general problem of unauthorized information flow attacks. The Webdefense project aimed to develop novel client-side defence solutions that aim to protect users from unintentional disclosure of sensitive information. The idea was to put client-side attacks into a unified context and analyze their common and distinct properties. The result is a model to characterize client-side attacks that helps to identify regions in the solution space that have not been explored so far. Based on our models, we developed practical techniques to counter the identified threats.

Research institution(s)
  • Technische Universität Wien - 100%
International project participants
  • Giovanni Vigna, University of California at Santa Barbara - USA

Research Output

  • 1510 Citations
  • 15 Publications
Publications
  • 2008
    Title Saner: Composing Static and Dynamic Analysis to Validate Sanitization in Web Applications
    DOI 10.1109/sp.2008.22
    Type Conference Proceeding Abstract
    Author Balzarotti D
    Pages 387-401
  • 2008
    Title Visual-similarity-based phishing detection
    DOI 10.1145/1460877.1460905
    Type Conference Proceeding Abstract
    Author Medvet E
    Pages 1-6
  • 2010
    Title A Practical Attack to De-Anonymize Social Network Users
    DOI 10.1109/sp.2010.21
    Type Conference Proceeding Abstract
    Author Wondracek G
    Pages 223-238
  • 2010
    Title A solution for the automated detection of clickjacking attacks
    DOI 10.1145/1755688.1755706
    Type Conference Proceeding Abstract
    Author Balduzzi M
    Pages 135-144
  • 2009
    Title SWAP: Mitigating XSS Attacks using a Reverse Proxy
    DOI 10.1109/iwsess.2009.5068456
    Type Conference Proceeding Abstract
    Author Wurzinger P
    Pages 33-39
    Link Publication
  • 2009
    Title Client-side cross-site scripting protection
    DOI 10.1016/j.cose.2009.04.008
    Type Journal Article
    Author Kirda E
    Journal Computers & Security
    Pages 592-604
  • 2009
    Title Prospex: Protocol Specification Extraction
    DOI 10.1109/sp.2009.14
    Type Conference Proceeding Abstract
    Author Comparetti P
    Pages 110-125
  • 2009
    Title Reducing errors in the anomaly-based detection of web-based attacks through the combined analysis of web requests and SQL queries
    DOI 10.3233/jcs-2009-0321
    Type Journal Article
    Author Vigna G
    Journal Journal of Computer Security
    Pages 305-329
  • 2010
    Title Improving the efficiency of dynamic malware analysis
    DOI 10.1145/1774088.1774484
    Type Conference Proceeding Abstract
    Author Bayer U
    Pages 1871-1878
  • 2010
    Title Inspector Gadget: Automated Extraction of Proprietary Gadgets from Malware Binaries
    DOI 10.1109/sp.2010.10
    Type Conference Proceeding Abstract
    Author Kolbitsch C
    Pages 29-44
  • 2010
    Title CAPTCHA smuggling
    DOI 10.1145/1774088.1774483
    Type Conference Proceeding Abstract
    Author Egele M
    Pages 1865-1870
  • 2007
    Title On the Effectiveness of Techniques to Detect Phishing Sites
    DOI 10.1007/978-3-540-73614-1_2
    Type Book Chapter
    Author Ludl C
    Publisher Springer Nature
    Pages 20-39
  • 2007
    Title A Layout-Similarity-Based Approach for Detecting Phishing Pages
    DOI 10.1109/seccom.2007.4550367
    Type Conference Proceeding Abstract
    Author Rosiello A
    Pages 1-10
    Link Publication
  • 2007
    Title Building Anti-Phishing Browser Plug-Ins: An Experience Report
    DOI 10.1109/sess.2007.6
    Type Conference Proceeding Abstract
    Author Raffetseder T
    Pages 1-7
  • 2006
    Title Preventing Cross Site Request Forgery Attacks
    DOI 10.1109/seccomw.2006.359531
    Type Conference Proceeding Abstract
    Author Jovanovic N
    Pages 1-10

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