Title: ConsiDroid: A Concolic-based Tool for Detecting SQL Injection Vulnerability in Android Apps,
Abstract: In this paper, we present a concolic execution technique for detecting SQL
injection vulnerabilities in Android apps, with a new tool we called
ConsiDroid. We extend the source code of apps with mocking technique, such that
the execution of original source code is not affected. The extended source
codes can be treated as Java applications and may be executed by SPF with
concolic execution. We automatically produce a DummyMain class out of static
analysis such that the essential functions are called sequentially and, the
events leading to vulnerable functions are triggered. We extend SPF with taint
analysis in ConsiDroid. For making taint analysis possible, we introduce a new
technique of symbolic mock classes in order to ease the propagation of tainted
values in the code. An SQL injection vulnerability is detected through
receiving a tainted value by a vulnerable function. Besides, ConsiDroid takes
advantage of static analysis to adjust SPF in order to inspect only suspicious
paths. To illustrate the applicability of ConsiDroid, we have inspected
randomly selected 140 apps from F-Droid repository. From these apps, we found
three apps vulnerable to SQL injection. To verify their vulnerability, we
analyzed the apps manually based on ConsiDroid's reports by using Robolectric.