The use of Internet of Things devices is continuously increasing: People buy devices, such as smart assistants, to make their lives more comfortable or fitness trackers to assess sports activities. According to the Pew Research Center , every fifth American wears a device to track their fitness. In Germany, the number increases likewise. The increasing number of fitness trackers in use can also be seen in criminal proceedings, as there exist more and more cases where these devices provide evidence.
Which useful evidential information fitness trackers collect and how to analyze them forensically was part of a paper that we presented at WACCO 2020 this year . The goal was to develop an open source program to support investigators analyzing data that fitness trackers provide and to give a general approach on how to analyze fitness trackers.
Also, with this blog post, we are releasing a Rekall plugin called pointerdetector that enumerates all exported functions from all DLLs and searches the memory for any pointer to them (essentially a search for dynamically resolved APIs). This plugin can assist in identifying dynamically resolved APIs and especially memory regions containing DLLs loaded with techniques such as reflective DLL injection. This blog post will contain some examples illustrating the usage of this plugin, as well.
At this years ARES conference, Jonas Plum (Siemens) and me (Andreas Dewald, ERNW Research GmbH) published a paper about the forensic analysis of APFS, file system internals and presented different methodologies for file recovery. We also publicly released a tool implementing our presented approaches, called afro (APFS file recovery).
Inspiriert durch die erfolgreichen Round-Table-Diskussionen der Troopers-Konferenz freuen wir uns, Ihnen heute mit dem Incident Analysis and Digital Forensics Summit 2018, eine weitere Veranstaltung in einer Reihe zu Trend-Themen im Bereich der IT-Sicherheit vorzustellen.
As mentioned in my last blogpost, I had the pleasure to participate in this years DFRWS USA and present our paper. The paper and presentation can be freely viewed and downloaded here or here. Note that there is also an extended version of the paper, which can be downloaded here.
I’m happy to announce the release of several Glibc heap analysis plugins (for Linux), resp. plugins to gather information from keepassx and zsh, which are now included in the Rekall Memory Forensic Framework. This blogpost will demonstrate these plugins and explain how they can be used. More detailed information, including real world scenarios, will be released after the talk at this years DFRWS USA.
I am looking forward to our newly introduced dedicated Forensic Computing Training at TR17!
We will start the first day with a detailed background briefing about Forensic Computing as a Forensic Science, Digital Evidence, and the Chain of Custody. The rest of the workshop we will follow the Order of Volatility starting with the analysis of persistent storage using file system internals and carving, as well as RAID reassembly with lots of hands-on case studies using open source tools. As a next step, we will smell the smoking gun in live forensics exercises. Depending on your preferences we will then dig a bit into memory forensics and network forensics. Continue reading “First dedicated Forensic Computing Training at TR17”
In the context of a customer project, we examined a new variant of the Locky ransomware. As in the meantime stated by a law enforcement agency, this has been part of a large wave of attacks hitting various enterprises in the night from Tuesday (2016-07-26) to Wednesday.
As an initial attack vector, the attackers use emails with an attachment that probably even uses a 0day exploit, that enables the payload to be executed already when displayed in the MS Outlook preview.
The ransomware encrypts accessible documents and threatens victims to pay a ransom in order to be able decrypt the files. Further, the malware uses accessible network shares/drives for further spreading.
Further information is following in the next section.
It might help to create filtering rules based on the mentioned file names, hash values, URLs, and IP addresses that are named in the rest of this report.
In this article, I want to provide a concise sum-up of the (to me) most interesting talks of this year’s DFRWS EU (http://www.dfrws.org/2016eu/).
Eoghan Casey, one of most famous pioneers in digital forensics, and David-Olivier Jaquet-Chiffelle, professor in police science at University of Lausanne, gave a keynote that emphasized the need for theoretical fundamental basis research in the field of digital forensics, which I fully agreed on, as this was exactly what I addressed in some of my former research.