DroidScraper: A Tool for Android In-Memory Object Recovery and Reconstruction


Aisha Ali-Gombe, Towson University; Sneha Sudhakaran, Louisiana State University; Andrew Case, Volatility Foundation; Golden G. Richard III, Louisiana State University


There is a growing need for post-mortem analysis in forensics investigations involving mobile devices, particularly when application-specific behaviors must be analyzed. This is especially true for architectures such as Android, where traditional kernel-level memory analysis frameworks such as Volatility face serious challenges recovering and providing context for user-space artifacts. In this research work, we developed an app-agnostic userland memory analysis technique that targets the new Android Runtime (ART). Leveraging its latest memory allocation algorithms, called region-based memory management, we develop a system called DroidScraper that recovers vital runtime data structures for applications by enumerating and reconstructing allocated objects from a process memory image. The result of our evaluation shows DroidScraper can recover and decode nearly 90% of all live objects in all allocated memory regions.

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@inproceedings {242083,
author = {Aisha Ali-Gombe and Sneha Sudhakaran and Andrew Case and Golden G. Richard III},
title = {{DroidScraper}: A Tool for Android {In-Memory} Object Recovery and Reconstruction},
booktitle = {22nd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2019)},
year = {2019},
isbn = {978-1-939133-07-6},
address = {Chaoyang District, Beijing},
pages = {547--559},
url = {https://www.usenix.org/conference/raid2019/presentation/ali-gombe},
publisher = {USENIX Association},
month = sep,