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Showing posts from May, 2017

Behavioural analysis of Adylkuzz Cryptocurrency Mining Malware

Introduction This post explains how to execute a malware specimen in a controlled environment (Sandbox) to identify indicators of compromise (IOC).  It doesn't cover initial infection vector, propagation and recovery of infected system Adylkuzz CryptoMiner Adylkuzz is described as a piece of malware that infects computers through the same means as WannaCry but, instead of locking files on computers, hides in the background and digitally makes money. It does not interfere with a user's files but remains behind the scenes. The "symptoms" of the attack include loss of access to shared resources on Windows plus computers and servers running slowly . Once running, Adylkuzz will first stop any potential instances of itself already running and block SMB communication to avoid further infection. It then determines the public IP address of the victim and download the mining instructions, cryptominer, and cleanup tools. Disclaimer You are dealing with real malware sam

Memory Analysis of WannaCry Ransomware

Introduction  This post explains the memory dump analysis of WannaCry infected system using volatility (An open source memory forensics framework) and other open source tools. It doesn't cover the analysis of initial infection vector, propagation and recovery of infected system. The objective is to leverage memory forensic analysis to uncover and extract Indicators of Compromise (IoC)  WannaCry  WannaCry (or WannaCrypt, WanaCrypt0r 2.0, Wanna Decryptor) is a ransomware program targeting the Microsoft Windows operating system. On Friday, 12 May 2017, a large cyber-attack using it was launched, infecting more than 230,000 computers in 150 countries, demanding ransom payments in the cryptocurrency bitcoin in 28 languages.The attack has been described by Europol as unprecedented in scale. Discalimer You are dealing with real malware samples Don’t expose them to internal networks or internet Analyze them in a controlle