Through backward a我為nalysis and source下民 code restoration, 厭紙multiple automati雪煙c scanning methods, 遠放such as static 黃畫feature matching, dynamic behavior ana照們lysis, human-computer intera訊術ction simulation and dat錢事a stream-associated 紙聽analysis, are used to fi事議nd security vulnerabil銀朋ities and data breach in a說信pplications, while supporting multi-d熱商imensional detection of personal privac在現y protection clauses and third-part制知y SDK access righ信理ts.Provide detailed detection rep見土orts and rectification s老月uggestions for the security risks exis喝歌ting in the applic不友ation, and supplement them with ma黑分nual security p窗筆enetration testing if ne離少cessary, striving to solve t知金he security vulner亮月abilities in the a路山pplication before the 醫電mobile application is launched a金計nd released. The mobile application 得妹security detection modul美離e conducts security scan河拍ning analysis from mul現書tiple dimensions to reduc分友e application co花來de risk.