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Smartphone technology has drastically improved over the past decade. Theseimprovements have seen the creation of specialized health applications, whichoffer consumers a range of health-related activities such as tracking andchecking symptoms of health conditions or diseases through their smartphones.We term these applications as Symptom Checking apps or simply SymptomCheckers.Due to the sensitive nature of the private data they collect, store and manage,leakage of user information could result in significant consequences. In thispaper, we use a combination of techniques from both static and dynamic analysisto detect, trace and categorize security and privacy issues in 36 popularSymptomCheckers on Google Play. Our analyses reveal that SymptomCheckersrequest a significantly higher number of sensitive permissions and embed ahigher number of third-party tracking libraries for targeted advertisements andanalytics exploiting the privileged access of the SymptomCheckers in which theyexist, as a mean of collecting and sharing critically sensitive data about theuser and their device. We find that these are sharing the data that theycollect through unencrypted plain text to the third-party advertisers and, insome cases, to malicious domains. The results reveal that the exploitation ofSymptomCheckers is present in popular apps, still readily available on GooglePlay.

Empirical Security and Privacy Analysis of Mobile Symptom Checking Applications on Google Play