A Framework for Recognition and Confronting of Obfuscated Malwares Based on Memory Dumping and Filter Drivers

Abstract

In this paper obfuscation techniques used by novel malwares presented and compared. IAT smashing, string encryption and dynamic programing are explained in static methods and hooking at user and kernel level of OS with DLL injection, modifying of SSDT and IDT table addresses, filter IRPs, and possessor emulation are techniques in dynamic methods. This paper suggest Approach for passing through malware obfuscation techniques. In order that it can analyze malware behaviors. Our methods in proposed approach are detection presence time of a malware at user and kernel level of OS, dumping of malware executable memory at correct time and precise hook installing. Main purpose of this paper is establishment of an efficient platform to analyze behavior and detect novel malwares that by use of metamorphic engine, packer and protector tools take action for obfuscation and metamorphosis of themself. At final, this paper use a dataset embeds different kind of obfuscated and metamorphic malwares in order to prove usefulness of its methods experiments. Show that proposed methods can confront most malware obfuscation techniques. It evaluated success rate to unpacking, obfuscated malwares and it shows 85% success rate to recognize kernel level malwares.