作者: Johannes Hoffmann , Martin Ussath , Thorsten Holz , Michael Spreitzenbarth
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摘要: The popularity of mobile devices like smartphones and tablets has increased significantly in the last few years with many millions sold devices. This growth also its drawbacks: attackers have realized that are an attractive target months different kinds malicious software (short: malware) for such emerged. worrisome development potential to hamper prospering ecosystem damage is huge.Considering these aspects, it evident apps need be detected early on order prevent further distribution infections. implies necessary develop techniques capable detecting automated way. In this paper, we present SAAF, a Static Android Analysis Framework apps. SAAF analyzes smali code, disassembled version DEX format used by Android's Java VM implementation. Our goal create program slices perform data-flow analyses backtrack parameters given method. helps us identify suspicious code regions Several other analysis as visualization control flow graphs or identification ad-related implemented SAAF. report slicing results obtained using technique analyze more than 136,000 benign about 6,100