Malware Hiding Malicious Code in the Image and its Detection Method
Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, 雅弥 吉川 · IEEJ Transactions on Electronics Information and Systems · 2022
With the increasing importance of cyberspace, the threat of malware has also been increasing. In order to establish anti-malware technology, it is important to clarify the threat of malware. Therefore, this study considers new malware using steganography. Evaluation of this study demonstrates that conventional security software cannot detect the proposed method which embeds the malicious code in images. Furthermore, this study proposes a new detection method which utilizes bit-plane in image file with malicious code to overcome the malware. Experiments verified the validity of the proposed method. It was also shown that the proposed detection method is also effective for variants with altered payloads.