Carnegie Mellon University
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Unique Approach to Threat Analysis Mapping: A Malware-Centric Methodology for Better Understanding the Adversary Landscape

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posted on 2023-05-10, 18:22 authored by Deana ShickDeana Shick, Kyle O'MearaKyle O'Meara

Malware family analysis is a constant process of identifying exemplars of malicious software, recognizing changes in the code, and producing groups of “families” used by incident responders, network operators, and cyber threat analysts. With adversaries constantly changing network infrastructure, it is easy to lose sight of the tools consistently being used and updated by these various actors. Beginning with malware family analysis, this methodology seeks to map vulnerabilities, exploits, additional malware, network infrastructure, and adversaries’ using Open Source Intelligence (OSINT) and public data feeds for the network defense and intelligence communities. The results provide an expanded picture of adversaries’ profiles rather than an incomplete story. The goal of this document is to shift the mindset of many researchers to begin with the tools used by adversaries rather than with network or incident data alone for an outside-in” approach to threat analysis instead of an “inside-out” method. We chose three malware families to use as case studies—Smallcase, Derusbi, and Sakula. The results of each case study—any additional network indicators, malware, exploits, vulnerabilities, and overall understanding of an intrusion—tied to the malware families should be utilized by network defenders and intelligence circles to aid in decision making and analysis. 


Publisher Statement

This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.

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Copyright 2016 Carnegie Mellon University

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