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I won't go into too much detail here, except to say the text messages contain the same structure as in the SMS database. Since cheeky4n6 monkey helped develop a script to parse this, he has done an excellent write up on the format and structure which I will post a link to once its up. It can contain numerous deleted text messages. If this file exists, it will be in the same directory as the mmssms.db file. The mmssms.db-journal file is a roll back journal file written to by the SQLite Database. This SQlite Viewer show blocks of deleted data:
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They offer a 30 day free trial if you want to play around with it. However, I also manually check for fragments using a Hex viewer, or an SQLite Viewer like Oxygen Forensics SQLite Viewer. If you are using a program like Cellebrite, it will "automatically" recover deleted text messages from this database. These SQlite databases retain deleted data. Text messages are stored in an SQLite database named mmssms.db typically under the location /Root/data//databases/. However, there are several locations in a file system extraction that can yield deleted text messages: the SMS Database, the SMS journal file and a log database. For more information on these three types of acquisitions, check out this page on Mobile Forensics on Wikipedia.įor recovering deleted text messages a physical extraction is the best. A physical acquisition is a bit by bit copy of the flash memory and thus, includes unallocated space. It provides access to the files system, but not unallocated space. A file system acquisition is the next step up. A logical acquisition is usually the information as the end user sees it. When working with cell phones, several types of acquisitions may be taken: logical, file system and physical.
Even if you don't do Mobile forensics, the principles of this example can be applied to determine structured data found in unallocated space.
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I am sure there is more than one way to skin this cat, some may even be better this is just the way I did.įor this example, I used a Samsung GSM SGH-T959V Galaxy S.
Additionally, because the SMS structure can vary across Android devices, I am going to show how I deconstructed the SMS message, and then applied the information to SMS messages found in unallocated space. In this post, I am going to cover some common locations in the file system to recover deleted text messages. Of course, these "other places" contained the most important data for my case. Although Cellebrite recovers deleted messages, it does not do so from areas outside of the SMS database (to my knowledge). Recently I used Cellebrite to understand the structure of SMS messages, which I could then apply to SMS fragments found in unallocated space and the mmssms.db-journal file. However, by understanding the raw data, you can leverage these tools to help you find and understand critical data not automatically provided. In fact, I use my "all in one" tools every day. I am not trying to give these tools a bad rap. Harlan Carvey contributed a great comment which I think sums it up nicely: “Tools provide a layer of abstraction over the data itself, often hiding the data from the analyst who is not curious.” That being said, in my last post Dude, Where's my Data I explored the importance of knowing what your automatic tools are doing and digging deeper as there may be critical information these tools are not parsing.
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A huge thank you to Adrian, because I think the only way to truly appreciate the script is to do the manual work first. After working a case that involved manually carving hundreds of juicy, case making messages, I collaborated with cheeky4n6monkey on a way to automate the process.
Luckily, there are several places and ways to recover these on an Android phone. Recovering deleted SMS messages from Android phones is a frequent request I get.
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