Malpedia Founder Daniel Plo hmann on Malware Analysis and Code Similarity

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Summary

Daniel Plo hmann discusses his path into malware analysis, Malpedia’s curated malware-family data, and how MCRIT uses code similarity to support malware analysis, family identification, and rule generation.

Key points

  • Plo hmann says Malpedia was created to organize malware-family information and samples and address inconsistent naming and disconnected research.
  • Malpedia contributions are peer-reviewed; Plo hmann reviews binary content for consistency.
  • MCRIT combines position-independent code hashing with MinHashing to identify identical and similar code.
  • MCRIT’s code-frequency analysis can help highlight family-specific code, overlaps between malware families, and likely library code.
  • MCRIT supports malware-family curation and can generate rules for code found across family samples but not elsewhere.
  • Plo hmann says open-directory malware data and Hunt.io’s C2 infrastructure view help inform his research.
  • He recommends perseverance and curiosity for people starting out in binary analysis.

Article Details

Topic
Interview on Daniel Plohmann’s malware research, Malpedia, MCRIT, and threat-research tools.

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