Measuring Privacy Risks in Mobile Apps at Scale
summary
Internet Safety Labs collects 88,000+ app data points, captures network traffic for ~1,300 apps, and scores 1,357 apps using programmatic company/SDK/subdomain scoring, producing app microscope views and public safety labels. Key findings: 78% of apps show very-high-risk behaviors, only ~4% show none, SDK manifests match only ~40% of companies seen in network traffic, and behavioral ads introduce a ~7x increase in unseen third parties; teams publish a subdomain risk dictionary.
AI-written summary · about
chapters (4)
related talks
25mThe State of Mobile App Privacy: Compliance Trends & Takeaways
37mHey, You, Get off My Private Data: Do Apps Respect Your Privacy as They Claim?
15m"I would not install an app with this label": Privacy Label Impact on Risk Perception
38mDeveloping Mobile Apps with Privacy as a Baseline Need
53mExplain, please. Help your users trust you
28mEmbracing innovation by building privacy friendly apps
19mBetter the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps
01h 08mACADEMIC SESSION 2
