Industry was polled about the top 10 vulnerabilities statistics in mobile applications.
[https://www.owasp.org/index.php/Projects/OWASP_Mobile_Security_Project_-_Top_Ten_Mobile_Risks]
Various technique used in mobile malware application analysis
[http://resources.infosecinstitute.com/android-malware-analysis/]
Researcher successfully evaded from Google Bouncer, Google's official dynamic application analysis test bed
[http://blog.trendmicro.com/trendlabs-security-intelligence/a-look-at-google-bouncer/]
Hybrid approach to Android application analysis
[http://www.joesecurity.org/joe-sandbox-reports#android]
Multiple android malware anslysis tools
[http://www.nyxbone.com/malware/android_tools.html]
DIY - OBAD Android malware analysis
DIY series on how to take apart and analyze the OBAD android malware sample.
[https://securityintelligence.com/diy-android-malware-analysis-taking-apart-obad-part-1/]
[https://www.mwrinfosecurity.com/products/drozer/]
Covers methods commonly used when performing static analysis of an Android Application.
[http://www.cs.columbia.edu/~aho/cs6998/Lectures/14-12-01_Schmeelk_AndroidSecurity.pptx]
Multiple links to online analyzers, static analysis and dynamic analysis tools related to Android Malware application detection.
[https://github.com/ashishb/android-security-awesome]
Androwarn is a tool whose main aim is to detect and warn the user about potential malicious behaviours developped by an Android application.
[https://github.com/maaaaz/androwarn]
[https://github.com/honeynet/apkinspector/]
[https://quequero.org/downloads/malware-analysis-tools/]
Definitely check out Cukoo (https://github.com/cuckoosandbox/cuckoo) that provies a dynamic sandboxing framework for malware analysis.
This plugins seems to integrate android for malware analysis.
[https://github.com/idanr1986/cuckoo-droid]
Machine learning and data mining framework in python.