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arxiv: 2502.02749 · v1 · pith:45VO2WZ2 · submitted 2025-02-04 · cs.HC · cs.CR

Unveiling Privacy and Security Gaps in Female Health Apps

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classification cs.HC cs.CR
keywords privacydatahealthsecurityapplicationsappsfemalereproductive
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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 challenges. The results and recommendations provide valuable insights for users, app developers, and policymakers, paving the way for better privacy and security in Female Health Applications.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Expecting (Targeted Ads)? Network Analysis of User Health Data Leakage in Fertility Tracking Apps

    cs.CR 2026-06 unverdicted novelty 5.0

    Network measurement of 20 fertility apps identifies explicit health data leakage in 5 apps and implicit leakage via targeted ads in others, with some apps avoiding data sharing.

  2. Expecting (Targeted Ads)? Network Analysis of User Health Data Leakage in Fertility Tracking Apps

    cs.CR 2026-06 unverdicted novelty 5.0

    Network measurement of 20 fertility apps reveals explicit user health data leakage to third parties in 5 apps and implicit leakage via targeted ads in others, while some apps avoid such sharing.

  3. Expecting (Targeted Ads)? Network Analysis of User Health Data Leakage in Fertility Tracking Apps

    cs.CR 2026-06 unverdicted novelty 4.0

    Network measurement of 20 fertility apps finds explicit health data leakage in 5 apps and targeted ad leakage in others, while some ad-monetized apps show no apparent leakage.