Malware Memory Analysis of the IVYL Linux Rootkit: Investigating a Publicly Available Linux Rootkit Using the Volatility Memory Analysis Framework

Abstract

This report is the second in a series that will examine Linux Volatility-specific memory malware-based analysis techniques. Windows-based malware memory analysis techniques were analysed in a previous series. Unlike these Windows-based reports, some of the techniques described therein are not applicable to Linux-based analyses including data carving and anti-virus scanning. Thus, with minimal use of scanner-based technologies, the author will demonstrate what to look for while conducting Linux-specific Volatility-based investigations. Each investigation consists of an infected memory image and its accompanying Volatility memory profile that will be used to examine a different open source rootkit. Some of the rootkits are user-land while others are kernel-based. Rootkits were chosen over Trojans, worms and viruses as rootkits tend to be more sophisticated. This specific investigation examines the IVYL rootkit. It is hoped that through the proper application of various Volatility plugins combined with an in-depth knowledge of the Linux operating system, these case studies will provide guidance to other investigators in their own analyses.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2015
Accession Number
AD1004349

Entities

People

  • Richard Carbone

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Case Studies
  • Central Processing Units
  • Computational Forensics
  • Computer Program Documentation
  • Computer Programming
  • Computer Programs
  • Computers
  • Detection
  • Engineering
  • Hash Tables
  • Infection
  • National Security
  • Network Protocols
  • Operating Systems
  • Security
  • Virtual Machines
  • Wound Infections

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Cyber