Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets
• Technical Report
Publisher
Software Engineering Institute
CMU/SEI Report Number
CMU/SEI-2015-TR-001DOI (Digital Object Identifier)
10.1184/R1/6575201.v1Subjects
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.
Part of a Collection
Secure Coding Tools and Advancements Publications
Cite This Technical Report
Burket, J., Flynn, L., Klieber, W., Lim, J., Shen, W., & Snavely, W. (2015, March 4). Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets. (Technical Report CMU/SEI-2015-TR-001). Retrieved April 20, 2024, from https://doi.org/10.1184/R1/6575201.v1.
@techreport{burket_2015,
author={Burket, Jonathan and Flynn, Lori and Klieber, William and Lim, Jonathan and Shen, Wei and Snavely, William},
title={Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets},
month={Mar},
year={2015},
number={CMU/SEI-2015-TR-001},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/6575201.v1},
note={Accessed: 2024-Apr-20}
}
Burket, Jonathan, Lori Flynn, William Klieber, Jonathan Lim, Wei Shen, and William Snavely. "Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets." (CMU/SEI-2015-TR-001). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, March 4, 2015. https://doi.org/10.1184/R1/6575201.v1.
J. Burket, L. Flynn, W. Klieber, J. Lim, W. Shen, and W. Snavely, "Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Report CMU/SEI-2015-TR-001, 4-Mar-2015 [Online]. Available: https://doi.org/10.1184/R1/6575201.v1. [Accessed: 20-Apr-2024].
Burket, Jonathan, Lori Flynn, William Klieber, Jonathan Lim, Wei Shen, and William Snavely. "Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets." (Technical Report CMU/SEI-2015-TR-001). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 4 Mar. 2015. https://doi.org/10.1184/R1/6575201.v1. Accessed 20 Apr. 2024.
Burket, Jonathan; Flynn, Lori; Klieber, William; Lim, Jonathan; Shen, Wei; & Snavely, William. Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets. CMU/SEI-2015-TR-001. Software Engineering Institute. 2015. https://doi.org/10.1184/R1/6575201.v1