Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

Abstract

This report describes recent significant enhancements to DidFail (Droid Intent Data Flow Analysis for Information Leakage), the CERT static taint analyzer for sets of Android apps. In addition to improving the analyzer itself, the enhancements include a new testing framework new test apps, and test results. A framework for testing the DidFail analyzer, including a setup for cloud-based testing was developed and instrumented to measure performance. Cloud-based testing enables the parallel use of powerful, commercially available virtual machines to speed up testing. DidFail was also modified to use the most current version of FlowDroid and Soot, increasing its success rate from 18% to 68% on our test set of real-world apps. Analytical features were added for more types of components and shared static fields and new apps developed to test these features. The improved DidFail analyzer and the cloud-based testing framework were used to test the new apps and additional apps from the Google Play store.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
ADA619331

Entities

People

  • Jonathan Burket
  • Jonathan Lim
  • Lori A. Flynn
  • Wei Shen
  • William Klieber
  • William Snavely

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Analyzers
  • Communication Channels
  • Computer Programs
  • Department Of Defense
  • Engineering
  • Filters
  • Flow
  • Guarantees
  • Infrastructure
  • Internet
  • Materials
  • Potential Flow
  • Precision
  • Software Development
  • Text Messaging
  • Transformers
  • Virtual Machines

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.