Incident Response

As an Incident Responder it's pretty common to analyse malicious emails, however finding the right tools, to safely pull apart an email, aren't always easy to find. I often find analysts struggle to pull apart an email once you explain the risks of using Microsoft Outlook as an analysis tool. This post will look at using open source tools within the SANS SIFT Workstation virtual machine to safely pull apart a native outlook email message. To start with, a native Outlook email message is in an .MSG file format. This format, unfortunately, can't be opened and viewed easily with a…

Introduction Keymarble is a trojan malware that has recently been seen in the wild. US CERT released initial information about this malware late last week which can be accessed here - https://www.us-cert.gov/ncas/analysis-reports/AR18-221A In this article, we analyse the malware and try to understand the execution flow. We also look at some useful network IOC that can be extracted from the malware. Some of these have been documented in the release that has been linked above. We'll look at some other IOC that have not yet been released publicly. This is a quick analysis that…

The following process walks through how to mount an Apple Disk Image, or more commonly known as a .dmg file. This process walks through mounting the HFS section of a .dmg file on a Linux system to allow the extraction of files for further analysis. Step 1 - Checking The File Type To begin with, I usually check what type of .dmg file it is with the "file" command. This is done to understand if it is a compressed or uncompressed .dmg file. $ file application.dmg The output you could typically expect could be: application.dmg: data which…

Following a presentation I did for a SANS community night in Melbourne Australia recently, I had a lot of attendees ask if I could provide the graphical timeline that I presented which showed the events leading up to the discovery of WannaCry in May 2017. Below is that timeline with events unique to the WannaCry variant that got a lot of attention in the mainstream news in May 2017. I've tried not to dive too far down the rabbit hole of the EternalBlue exploit, and its use in other malware - which is most certainly occurring in the wild. I've…

In the aftermath of the WannaCry ransomware outbreak, what are the real lessons we should have all learned? Or even better, what should we be telling those not in the Cyber Security industry, so they don't fall victim to media hype or vendor spin. My hope is this information is also useful in clearing up any misinformation that's spread about WannaCry. This whole attack was not the result of a phishing email. No email type protections would have saved you from getting infected with WannaCry. The malware was spread via other users on the internet directly connecting to your network/…

Machine Learning, Security Analytics, Behavioral Analytics, call it whatever you like, but will it really uncover hidden security incidents in your network? For the purpose of this article, I am going to refer to machine learning, security analytics, behaviour analytics, user based anomaly detection, and all the other flavours in between as "machine learning". Yes, I understand they can all be different and represent different areas; however, I want to discuss the application of machine-based detection being used to find security incidents versus human based detection. I have to say up front that I am not a data…