10.1184/R1/6575201.v1
Johnathon Burket
Johnathon
Burket
Lori Flynn
Lori
Flynn
Will Klieber
Will
Klieber
Jonathan Lim
Jonathan
Lim
William Snavely
William
Snavely
Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets
Carnegie Mellon University
2015
DidFail
2015-03-01 00:00:00
Report
https://kilthub.cmu.edu/articles/report/Making_DidFail_Succeed_Enhancing_the_CERT_Static_Taint_Analyzer_for_Android_App_Sets/6575201
<p>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.</p>