Execute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications

By Sebastian Poeplau, Yanick Fratantonio, Antonio Bianchi, Christopher Krügel, Giovanni Vigna. Network and Distributed System Security Symposium, 2014

313 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Software, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6d59f58f7408362036196048c9ba11f399dd9bc2

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Citations in the corpus

DroidDetector: Android Malware Characterization and Detection Using Deep Learning (2016, background): “[12, 14], cannot catch several types of code-loading-technique-based Android malware [15] .”
You Get Where You're Looking for: The Impact of Information Sources on Code Security (2016, unknown): “distracted or overwhelmed [1], [8], [9], [11], [14]–[18], [26], [29], [31], [33], [34], [36], [43], [44], [46].”
Static analysis of android apps: A systematic literature review (2017, background): “[106] 3 3 1632 Redexer [107] 3 3 14 SAAF [111] 3 3 142100 StaDynA [158] 3 3 10 THRESHER [159] 3 3 7 Violist [160] 3 3 0 WeChecker [134] 3 3 3 1137 Wognsen et al.”
Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps (2014, background): “However, there have been widely reported security problems due to malicious or vulnerable applications running on Android devices [12, 20, 25, 31, 36, 41, 43, 45, 49, 55, 56].”
Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis (2017, background): “Existing approaches based on static analysis would miss this privacy leak if the functionality is implemented in native code [5], dynamically loaded code [31], or in JavaScript in a WebView [28].”
The Evolution of Android Malware and Android Analysis Techniques (2017, background): “Furthermore, even when used benignly, dynamically loaded code has caused widespread vulnerabilities [Poeplau et al. 2014; Fedler et al. 2013].”
ANDRUBIS -- 1,000,000 Apps Later: A View on Current Android Malware Behaviors (2014, unknown): “[57].”
Reliable Third-Party Library Detection in Android and its Security Applications (2016, methodology): “In this study, we are interested in finding answers to security- and privacy-related questions about libraries, such as “How prevalent are thirdparty libraries in the top apps and how up-to-date are the library versions?”, “Do app developers update the libs included in their apps and how quickly do ”
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (2016, background): “Moreover, attackers could try using reﬂection, dynamic code loading, or native code [42].”