Design of Application to Detect Images Embedded with Malicious Programs

In todays world, malware can be propagated to victim systems in an increasingly diverse number of ways. One of these methods involves the passive distribution of malware by embedding in JPEG images which goes on to highlight that even simple images can be manipulated maliciously by criminals. The aim of this paper is to design an application that partially acts as a steganalysis tool to scan, detect and notify the user of the presence of a payload in either one or a set of selected images. it will then proceed to analyze the payload and verify whether it is a malicious program or not. It will also give a brief summarized file analysis of the detected payload. Ultimately, this will help highlight the need to consider images as a potential attack vector and then also offer a corresponding solution to this problem.