Binary Disassembly Block Coverage by Symbolic Execution vs. Recursive Descent

Abstract

This research determines how appropriate symbolic execution is (given its current implementation) for binary analysis by measuring how much of an executable symbolic execution allows an analyst to reason about. Using the S2E Selective Symbolic Execution Engine with a built-in constraint solver (KLEE), this research measures the effectiveness of S2E on a sample of 27 Debian Linux binaries as compared to a traditional static disassembly tool, IDA Pro. Disassembly code coverage and path exploration is used as a metric for determining success. This research also explores the effectiveness of symbolic execution on packed or obfuscated samples of the same binaries to generate a model-based evaluation of success for techniques commonly employed by malware. Obfuscated results were much higher than expected, which lead to the discovery that S2E was not actually handling the multiple executable memory regions present in unpacker runtime code. Three recommendations are made to address the shortcomings of S2E and allow it to process obfuscated samples correctly.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA559973

Entities

People

  • Jonathan D. Miller

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Debugging
  • High Level Languages
  • Instruction Set Architecture
  • Intellectual Property
  • Machine Languages
  • Malware
  • Network Protocols
  • Operating Systems
  • Shell Scripts
  • Virtual Machines

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Software Engineering.

Technology Areas

  • Cyber