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The Nepenthes Platform: An Efficient Approach to Collect Malware

  • Paul Baecher
  • Markus Koetter
  • Thorsten Holz
  • Maximillian Dornseif
  • Felix Freiling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4219)

Abstract

Up to now, there is little empirically backed quantitative and qualitative knowledge about self-replicating malware publicly available. This hampers research in these topics because many counter-strategies against malware, e.g., network- and host-based intrusion detection systems, need hard empirical data to take full effect.

We present the nepenthes platform, a framework for large-scale collection of information on self-replicating malware in the wild. The basic principle of nepenthes is to emulate only the vulnerable parts of a service. This leads to an efficient and effective solution that offers many advantages compared to other honeypot-based solutions. Furthermore, nepenthes offers a flexible deployment solution, leading to even better scalability. Using the nepenthes platform we and several other organizations were able to greatly broaden the empirical basis of data available about self-replicating malware and provide thousands of samples of previously unknown malware to vendors of host-based IDS/anti-virus systems. This greatly improves the detection rate of this kind of threat.

Keywords

Honeypots Intrusion Detection Systems Malware 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Paul Baecher
    • 1
  • Markus Koetter
    • 1
  • Thorsten Holz
    • 2
  • Maximillian Dornseif
    • 2
  • Felix Freiling
    • 2
  1. 1.Nepenthes Development Team 
  2. 2.Laboratory for Dependable Distributed SystemsUniversity of Mannheim 

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