Overview | Results
There were seven submissions to the DFRWS2010 Challenge Results Challenge that deals with forensic analysis of memory dumps from a Sony Ericsson mobile device. This challenge was designed to be accessible to a wide audience, combined accessible forensic analysis tasks with some harder problems. We were pleased that the submissions this year came from not just researchers and developers, but also practitioners in the community.
Some aspects of the challenge could not be completed using existing tools and new techniques had to be developed. However, many of the questions could be answered without developing new approaches.
We thank all contestants for their efforts and their willingness to share their results and techniques with the community.
The submissions are listed below with a short description of the results and a link to a folder where the submission can be found. Inside of the folder is a .zip file that contains the entire submission. The .zip file is named X-submission.zip, where X is the folder name that the submission is located in.
We are now providing a logical acquisition of the same mobile device to facilitate validation of future work on this data set. The XRY file can be read using the XRY Reader tool.
The winning submission for the DFRWS2010 Forensic Challenge was from Solal Jacob. This submission has two parts:
The submission used the open source Digital Forensic Framework (DFF), available at www.digital-forensic.org, and provides some new modules specifically for parsing memory dumps of Sony Ericsson K800i devices. Some advanced DFF modules used to analyze the memory were not included in the submission (e.g., timeline and advanced hex edit modules) but these were not core to the memory reconstruction challenge.
There was a tie for runner up position between two teams:
Other submissions included:
Submissions were evaluated based on the completeness and accuracy of the findings, organization and presentation of results, and on effort developing new techniques and tools. The highest scores were awarded to the submissions that produced the most complete and accurate results, and that contributed significant new tools and techniques.
©2001-2011 DFRWS | dfrws [at] dfrws [dot] org
DFRWS is a US 501(c)(3) non-profit organization.