Purple computer monitor icon displaying binary code made of ones and zeros on a light background.

Conference/Workshop:
Proceedings of the 22nd Annual DFRWS USA

Published: 2022

Primary Author: Chen Shi

Secondary Authors: Chris Chao-Chun Cheng, Yong Guan

Type: Publication

Research Area: Digital

With advancements in technology, people are taking advantage of mobile devices to access e-mails, search the web, and video chat. Therefore, extracting evidence from mobile phones is an important component of the investigation process. As Android app developers could leverage existing native libraries to implement a part of the program, evidentiary data are generated and stored by these native libraries. However, current state-of-art Android static analysis tools, such as FlowDroid (Arzt et al., 2014), Evihunter (Cheng et al., 2018), DroidSafe (Gordon et al., 2015) and CHEX (Lu et al., 2012) adopt the conservative approach for data-flow analysis on native method invocation. None of those tools have the capability to capture the data-flow within native libraries. In this work, we propose a new approach to conduct native data-flow analysis for security vetting of Android native libraries and build an analysis framework, called LibDroid to compute data-flow and summarize taint propagation for Android native libraries. The common question app users and developers often face is whether certain native libraries contain hidden functions or utilize user private information. LibDroid aims to answer this question. Therefore, we build a precise and efficient data-flow analysis with the support of SummarizeNativeMethod algorithm, and pre-compute an Android Native Libraries Database (ANLD) for 13,138 native libraries collected from 2,627 real-world Android applications. The ANLD includes the taint propagation summary of each native method and potential evidentiary data generated or stored within the native library. We evaluate LibDroid on 52 open-source native libraries and 2,627 real-world apps. Our results show that LibDroid can precisely summarize the information flow within the native libraries.

View Full Article

Related Resources

A thick gray wavy line forming an abstract, looping shape on a light gray background.

An Introduction to the Forensic Handwriting Analysis Software handwriter

July 18, 2025

Full Article

Blue shoeprint with a tread pattern on a white background.

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

July 10, 2025

There currently are no shoe-scanning devices developed in the United States that can operate in a real-world, variable-weather environment in …

Full Article

A green fingerprint icon on a light gray background.

Examiner consistency in perceptions of fingerprint minutia rarity

July 10, 2025

Friction ridge examiners (FREs) identify distinctive features (minutiae) in fingerprints and consider how rare these observed minutiae are in their …

Full Article