Is Госуслуги Биометрия Legit & Safe?
With 4.0 stars across 3,555 ratings, Госуслуги Биометрия is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with АО ЦБТ.
What users complain about in Госуслуги Биометрия
Users report frequent errors and crashes, making the app unusable for its intended purpose. Many complain about issues with login, registration, and biometric authentication, often leading to dead ends or redirects to non-existent pages. The app is criticized for being poorly designed, unreliable, and forcing users to switch to other platforms like MAX.
Summarized from 401 recent 1-3 star reviews.
Госуслуги Биометрия: frequently asked questions
Is Госуслуги Биометрия legit?
Госуслуги Биометрия is a legitimate app listed on the App Store with a 4.0 star rating from 3,555 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Госуслуги Биометрия safe to download?
Госуслуги Биометрия is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is Госуслуги Биометрия a scam?
Госуслуги Биометрия is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does Госуслуги Биометрия have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download Госуслуги Биометрия?
For most users, Госуслуги Биометрия is a safe choice given its 4.0 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.