Thanks to Joshua Hickman at the Digital Evidence Section of the North Carolina Department of Justice, we now have three Andoird images available for download: Android 7, Android 8 and Android 9.
Our downloads server is operational again! Thanks to George Mason University for continuing to host this resource!
We are having problems with our download server! Files are not available until further notice.
The website has been transitioned to Dreamhost. The downloads remain at George Mason University and can be reached at http://downloads.digitalcorpora.org/corpora/ for the corpora and http://downloads.digitalcorpora.org/downloads/ for files.
We are happy to announce the contribution of four disk images of a non-deterministic USB drive. Read More.
UT San Antonio has kindly provided digitalcorpora with open source, publicly releasable samples of 32 file types. These are the samples that were used by Dr. Nicole Beebe to develop the Sceadan File Type Classifier.
Included file types are ASP, AVI, B64, B85, BZ2, CSS, DLL, ELF, EXE, EXT3, FAT, FLV, JAR, JB2, JS, M4A, MOV, MP3, MP4, NTFS, PST, RPM, RTF, Random, SWF, TXT, Tbird, URL, WAV, WMA, XLSX, ZIP. Each file type sample can be downloaded from the website:
* http://digitalcorpora.org/corp/nps/files/filetypes1/
Also included is a _README directory that includes a list of every file downloaded and a copyright statement for the files that are covered under copyright. You can access that directory at:
* http://digitalcorpora.org/corp/nps/files/filetypes1/_README/
This “FLETYPES1” corpus supplements the files in the GOVDOCS1 corpus.
Please let us know if you use these by including this citation in your paper:
“FILETYPES1 File type samples,” Beebe, Nicole, University of Texas, San Antonio, hosted at http://digitalcorpora.org/corp/nps/files/filetypes1/. 2014
The text file govdocs1-first512-first4096-docid.txt containing MD5 hashes of the first 512 bytes and first 4096 bytes of every file in the GOVDOCS1 corpus has been removed. This file was provided to assist with research of block hashes. We have since created the hashdb toolset which provides support for creating and working with hash block databases. Please refer to https://github.com/simsong/hashdb/wiki for downloading the code, continuing progress on this topic, and links to relevant papers including:
Distinct Sector Hashes for Target File Detection
A related masters thesis on this topic was completed at Naval Postgraduate School in 2012 and can be downloaded for additional reading: http://simson.net/ref/2012/kmf_thesis.pdf
A malware scan of thegovdocs1 corpus is now available at http://digitalcorpora.org/corp/nps/files/govdocs1/MetascanClientLog_201306281214.txt
File bulk_extractor-1.3.1.zip contains the source code for bulk_extractor v1.3.1. bulk_extractor is a C++ program that scans a disk image, a file, or a directory of files and extracts useful information without parsing the file system or file system structures. bulk_extractor is typically downloaded on a Fedora system and compiled or cross-compiled to Linux, Mac, or Windows using autotools. Please see https://github.com/simsong/bulk_extractor/wiki/Introducing-bulk_extractor.
BEViewer.jar is an executable bulk_extractor viewer user interface.
Bulk Extractor Viewer (BEViewer) provides a graphical user interface for browsing features that have been extracted via the bulk extractor feature extraction tool. Please see https://github.com/simsong/bulk_extractor/wiki/BEViewer.
be_installer-1.3.exe is a Windows installer for installing bulk_extractor and BEViewer v1.3 on a Windows system.
bulk_extractor.pdf, “Digital media triage with bulk data analysis and bulk-extractor,” discusses how the bulk_extractor tool is effective in providing bulk data analysis.
2012-08-08 bulk_extractor Tutorial.pdf describes how to use the BEViewer tool. Although some of the parameters for running bulk_extractor have changed, the majority of the tutorial remains current..
Source: The information above and links were received from Bruce Allen <bdallen@nps.edu>, Naval Postgraduate School
See other bulk_extractor downloads here: http://digitalcorpora.org/downloads/bulk_extractor/
The following post is now obsolete. The file frequent_hashcodes_and_paths_rdc.xml has been removed from the corpus as explained in a more recent post. Please see:
http://digitalcorpora.org/archives/391
Deprecated Post from Mar 29, 2013 @ 13:13
The file frequent_hashcodes_and_paths_rdc.xml contains SHA1 hashcode and path data derived from the Real Drive Corpus collected by the DEEP Project at the U.S. Naval Postgraduate School. The file provides two kinds of data useful to forensic investigators: (1) SHA1 hashcodes that occurred for undeleted files on at least five different drives in the corpus but did not occur in the National Software Reference Library (http://www.nsrl.nist.gov). These are likely to indicate files uninteresting and excludable in most forensic investigations. File sizes and names are also given. (2) Path names (file name plus all directories) for paths that occurred on at least twenty different drives in the corpus on undeleted files. These usefully supplement the hashcodes in indicating recurring files uninteresting for investigators. However, occurrences of these files could include viruses and other malware, or could be hiding illegal content although it is unlikely.
Read more … http://digitalcorpora.org/corp/nus-deidentified/README-frequent-hashcodes-and-paths-rdc.txt
Download XML File (HAS BEEN REMOVED): http://digitalcorpora.org/corp/nus-deidentified/frequent-hashcodes-and-paths-rdc.xml (102 MB)