Thousands of malware are being detected each day and the sheer volume made it impossible to perform manual analysis on each of them. This talk will introduce CAMAL (COSEINC Automated Malware Analysis Lab) an automated malware analysis framework that can produce both static and network analysis snapshots of a malware. The main objective of such a framework is to speed up a malware analyst's job by automatically profiling the malware's binary characteristics, its interaction with the operating system, its access to the file system and its communication through the network. During the talk, we will be first discuss the general framework, followed by technical details on how the whole process can be automated seamlessly. We will also touch on the potential usage of such a framework and how it can help to provide an accurate malware characterization within a shorter timeframe.