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TrumanBox: Improving Dynamic Malware Analysis by Emulating the Internet

  • Christian Gorecki
  • Felix C. Freiling
  • Marc Kührer
  • Thorsten Holz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6976)

Abstract

Dynamic analysis of malicious software (malware) is a powerful tool in countering modern threats on the Internet. In dynamic analysis, a malware sample is executed in a controlled environment and its actions are logged. Through dynamic analysis, an analyst can quickly obtain an overview of malware behavior and can decide whether or not to indulge into tedious manual analysis of the sample. However, usual dynamic analysis exposes the Internet to the threats of an executed malware (like portscans) because advanced concealment techniques of malware often require full Internet access. For example, a missing link to the Internet or the unavailability of a specific server often causes the malware to not trigger its malicious behavior. In this paper, we present TrumanBox, a technique to emulate relevant parts of the Internet to enhance dynamic malware analysis. We show that TrumanBox not only prevents many threats but also enlarges the scope of the types of malware that can be analyzed dynamically.

Keywords

Original Server Incoming Connection Malicious Software Login Attempt Full Emulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christian Gorecki
    • 1
  • Felix C. Freiling
    • 2
  • Marc Kührer
    • 3
  • Thorsten Holz
    • 3
  1. 1.AGTGermany
  2. 2.Friedrich-Alexander-University Erlangen-NurembergGermany
  3. 3.Ruhr-University BochumGermany

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