Today, there are more threats to Android users since malware writers are changing their target to explore the weakness of Android devices, in order to generate malicious behaviors. Thus, detecting Android malwares is becoming crucial. We present in this paper a tool, called MADLIRA (MAlware Detection using Learning and Information Retrieval for Android). This tool implements two static approaches: (1) apply Information Retrieval techniques to automatically extract malicious behaviors from a set of malicious and benign applications, (2) apply learning techniques to automatically learn malicious applications. Then, in both cases, MADLIRA can classify a new Android application as malicious or benign.