SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications
Rosangela Casolare, Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Abstract
Rosangela Casolare, Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Abstract
Mobile malware is growing in number and its complexity is constantly increasing. Malware authors are continuously looking new ways to elude anti-malware controls. Anti-malware are not able to detect zero-day malware, because to detect malicious behaviour they need to know its signature, but to have this information the malware must already be widespread. Furthermore, anti-malware are able to scan one application at a time: for this reason a type of malware characterized by the colluding attack, where the malicious action is split in two (or more) applications, can not be recognised.
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Mobile malware is growing in number and its complexity is constantly increasing. Malware authors are continuously looking new ways to elude anti-malware controls. Anti-malware are not able to detect zero-day malware, because to detect malicious behaviour they need to know its signature, but to have this information the malware must already be widespread. Furthermore, anti-malware are able to scan one application at a time: for this reason a type of malware characterized by the colluding attack, where the malicious action is split in two (or more) applications, can not be recognised.
Key concepts: Malware, Cryptovirology, Android malware, Android (operating system), Computer security, Computer science, Payload (computing), Mobile malware