Indicators of Compromise TeslaCrypt Malware

Malware has become a growing concern in a society of interconnected devices and realtime communications. This paper will show how to analyze live ransomware malware samples, how malware processes locally, over time and within the network. Analyzing live ransomware gives a unique three-dimensional perspective, visually locating crucial signatures and behaviors efficiently. In lieu of reverse engineering or parsing the malware executable's infrastructure, live analysis provides a simpler method to root out indicators. Ransomware touches just about every file and many of the registry keys. Analysis can be done, but it needs to be focused. The analysis of malware capabilities from different datasets, including process monitoring, flow data, registry key changes, and network traffic will yield indicators of compromise. These indicators will be collected using various open source tools such as Sysinternals suite, Fiddler, Wireshark, and Snort, to name a few. Malware indicators of compromise will be collected to produce defensive countermeasures against unwanted advanced adversary activity on a network. A virtual appliance platform with simulated production Windows 8 O/S will be created, infected and processed to collect indicators to be used to secure enterprise systems. Different tools will leverage datasets to gather indicators, view malware on multiple layers, contain compromised hosts and prevent future infections.