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Android is among the popular platforms running on millions of smart devices,like smartphones and tablets, whose widespread adoption is seen as anopportunity for spreading malware. Adding malicious payloads to crackedapplications, often popular ones, downloaded from untrusted third markets is aprevalent way for achieving the aforementioned goal. In this paper, we compare25 applications from the official and third-party application stores deliveringcracked applications. The behavioral analysis of applications is carried out onthree real devices equipped with different Android versions by using fiveindicators: requested permissions, CPU usage, RAM usage and the number ofopened ports for TCP and HTTP. Based on these indicators, we compute anapplication intention score and classify cracked applications as malicious orbenign. The experimental results show that cracked applications utilize onaverage more resources and request access to more (dangerous) permissions thantheir official counterparts.

2018 ieee 16th intl conf on dependable, autonomic and secure computing, 16th intl conf on pervasive intelligence and computing, 4th intl conf on big data intelligence and computing and cyber science and technology congress(dasc/picom/datacom/cyberscitech)

WiP: Are Cracked Applications Really Free? An Empirical Analysis on Android Devices