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Silent Consent, Persistent Risk: Android Permission Groups and Custom Permissions

arXiv Security Archived May 28, 2026 ✓ Full text saved

arXiv:2605.27667v1 Announce Type: new Abstract: Android's permission system is designed to balance usability with informed consent, yet two legacy mechanisms still undermine that balance in Android 16: (i) permission groups that silently auto-grant new permissions within a group after a user's initial approval, and (ii) normal-level custom permissions that are auto-granted at install and enable cross-app access with no user visibility. We conduct a longitudinal analysis of 19.3 million APKs span

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✦ AI Summary · Claude Sonnet


    Computer Science > Cryptography and Security [Submitted on 26 May 2026] Silent Consent, Persistent Risk: Android Permission Groups and Custom Permissions Olawale Amos Akanji, Manuel Egele, Gianluca Stringhini Android's permission system is designed to balance usability with informed consent, yet two legacy mechanisms still undermine that balance in Android 16: (i) permission groups that silently auto-grant new permissions within a group after a user's initial approval, and (ii) normal-level custom permissions that are auto-granted at install and enable cross-app access with no user visibility. We conduct a longitudinal analysis of 19.3 million APKs spanning 5.97 million unique apps (distinct package identifiers) from the AndroZoo repository, combined with on-device validation on Android 16. Among 2,244,575 multi-version apps, 381,026 (17%) silently gain permissions within already-granted groups. Using VirusTotal detections with primary threshold t=20, apps flagged as malware expand within groups at a higher rate than benign apps (odds ratio = 1.35, p < 0.001); the association holds across every tested threshold and concentrates in permission-heavy apps (OR = 2.06 in the top quartile). We also identify 307 cross-developer normal-custom-permission pairs that expose contacts, SMS, location, authentication credentials, user identity, and medical records to unrelated apps without any user prompt. A lightweight prototype built on public Android APIs recorded 23 silent expansion events across 13 apps during a 96-day single-device pilot, showing that update-time transparency is reachable without OS modification. Our results show that consent erosion persists despite a decade of platform hardening and affects apps ranging from obscure utilities to widely deployed and pre-installed software. Comments: 24 pages, 3 figures, 6 tables. To appear in the Proceedings of the 23rd Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA 2026), July 1-3, 2026, Chania, Greece. Springer Lecture Notes in Computer Science (LNCS) Subjects: Cryptography and Security (cs.CR) ACM classes: D.4.6; K.6.5 Cite as: arXiv:2605.27667 [cs.CR]   (or arXiv:2605.27667v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.27667 Focus to learn more Submission history From: Olawale Akanji [view email] [v1] Tue, 26 May 2026 20:37:23 UTC (394 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    May 28, 2026
    Archived
    May 28, 2026
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