Unveiling Privacy and Security Gaps in Female Health Apps
Muhammad Hassan, Mahnoor Jameel, Tian Wang, Masooda Bashir

TL;DR
This paper assesses the privacy and security of 45 popular Female Health Apps, revealing significant vulnerabilities, extensive data collection, and privacy policy deviations, which pose risks to user privacy and security.
Contribution
It provides a comprehensive security and privacy analysis of FemTech apps, highlighting critical gaps and offering recommendations for improvement.
Findings
Harmful permissions and extensive data collection
Presence of numerous third-party tracking libraries
Deviations from fundamental data privacy principles
Abstract
Female Health Applications (FHA), a growing segment of FemTech, aim to provide affordable and accessible healthcare solutions for women globally. These applications gather and monitor health and reproductive data from millions of users. With ongoing debates on women's reproductive rights and privacy, it's crucial to assess how these apps protect users' privacy. In this paper, we undertake a security and data protection assessment of 45 popular FHAs. Our investigation uncovers harmful permissions, extensive collection of sensitive personal and medical data, and the presence of numerous third-party tracking libraries. Furthermore, our examination of their privacy policies reveals deviations from fundamental data privacy principles. These findings highlight a significant lack of privacy and security measures for FemTech apps, especially as women's reproductive rights face growing political…
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Taxonomy
TopicsMobile Health and mHealth Applications · Digital Mental Health Interventions · Privacy, Security, and Data Protection
