Searcharxiv⌕ Search

arXiv subjects

Olawale Amos Akanji

Publications and source records attributed to Olawale Amos Akanji.

2 recordsLinked to original sources

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

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.

cs.CR↗

The Cost of Convenience: Identifying, Analyzing, and Mitigating Predatory Loan Applications on Android

Digital lending applications, commonly referred to as loan apps, have become a primary channel for microcredit in emerging markets. However, many of these apps demand excessive permissions and misuse sensitive user data for coercive debt-recovery practices, including harassment, blackmail, and public shaming that affect both borrowers and their contacts. This paper presents the first cross-country measurement of loan app compliance against both national regulations and Google's Financial Services Policy. We analyze 434 apps drawn from official registries and app markets from Indonesia, Kenya, Nigeria, Pakistan, and the Philippines. To operationalize policy requirements at scale, we translate policy text into testable permission checks using LLM-assisted policy-to-permission mapping and combine this with static and dynamic analyses of loan apps' code and runtime behavior. Our findings reveal pervasive non-compliance among approved apps: 141 violate national regulatory policy and 147 violate Google policy. Dynamic analysis further shows that several apps transmit sensitive data (contacts, SMS, location, media) before user signup or registration, undermining informed consent and enabling downstream harassment of borrowers and third parties. Following our disclosures, Google removed 93 flagged apps from Google Play, representing over 300M cumulative installs. We advocate for adopting our methodology as a proactive compliance-monitoring tool and offer targeted recommendations for regulators, platforms, and developers to strengthen privacy protections. Overall, our results highlight the need for coordinated enforcement and robust technical safeguards to ensure that digital lending supports financial inclusion without compromising user privacy or safety.

cs.CR↗