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 course of a recent research project, I had a look at SolarWinds DameWare, which is a commercial Remote Access Software product running on Windows Server. I identified a remote file download vulnerability in the download function for the client software that can be exploited remotely and unauthenticated and that allows to download arbitrary files from the server that is running the software.
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.
This is a short summary of selected talks (i.e. those that I found the most interesting of those I was able to personally attend) of the GI Sicherheit 2016.
First of all, congratulations to Dr. Fabian Yamaguchi, who received an award (the GI Promotionspreis) for his PhD thesis “Pattern-Based Vulnerability Discovery“!
His work presents an “approach for identifying vulnerabilities which combines techniques from static analysis, machine learning, and graph mining to augment the analyst’s abilities rather than trying to replace her” by identifying and highlighting patterns of potential vulnerabilities in source code. Continue reading “Summary GI Sicherheit”
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.
We just presented our Paper “Generic RAID Reassembly using Block-Level Entropy” at the DFRWS EU 2016 digital forensics conference (http://www.dfrws.org/). The article is about a new approach that we developed for forensic RAID recovery. Our technique calculates block-wise entropy all over the disks and uses generic heuristics on those to detect all the relevant RAID parameters such as stripe size, stripe map, disk order, and RAID type, that are needed to reassemble the RAID and make the data accessible again for forensic investigations (or just for data recovery).
We developed an open source implementation of our approach that is freely available at https://www1.cs.fau.de/content/forensic-raid-recovery/. The tool is able to recover RAID 0, RAID 1 and RAID 5 volumes from the single disks or disk images.
It is also able to recover a missing or failed disk in case of RAID 5 systems from the RAID redundancy information.