Detecting Malware Infected Machines with Digital Forensic Analysis

Abstract

The majority of significant intimidation on the Internet is malware which means malicious software.  The Third-party (or attacker) will install the malware software program on the machine without the awareness of the owner to steal their private data. Day-by-Day the third party launches new malware, which leads to a great challenge to the malware detectors.  Man-in-the-Browser (MB) attack is one of the special attacks in Man-in-the-Middle (MM), which targets the Internet backing customers. This work examined forensic analysis of Random Access Memory (RAM) and Volatile data infected machines. By using open source tools, the activities of the malware, the cause of the attacks and time periods are identified.