返回榜单
Authenticator app - 2FA, MFA

Authenticator app - 2FA, MFA

Maxima Apps

Utilities免费v4.0
App Store
评分

4.6

5,590 条评分

星级

★★★★★

最近更新

2025年5月19日

发布日期

2022年5月27日

更新内容

v4.0

We swatted some bugs to keep your security experience seamless.

应用信息

开发者
Maxima Apps
分类
Utilities
价格
免费
版本
4.0
App ID
1625466768

简介

Authenticator app is a highly recommended free 2FA app used for securing your accounts on different platforms such as Instagram, Google, Facebook, Github, Twitter and many more. We support 1000+ apps for authentication! Take a look at the unique features of the app: - Apple Watch Support Now access your 2-factor & multi-factor authentication codes from your Apple watch for faster accessibility. - Quick Widget Support Add widgets to your screen for faster, easier 2FA & Multi-Factor Authentication. - Super Safe & Secure: Your passwords are safe and sound as the app has no data exchange with the internet, so no one can get to know it except you. - Scan QR Code: Just one tap QR scan for easy access and hassle-free registration. - Enter Code Manually: Enter a secret key to the app for secure authentication. - Supports All Popular Accounts: Authenticator app supports the most popular services including Facebook, Coinbase, Amazon, Google, Instagram, Roblox and thousands of other providers. - No Password Stored: The application generates Time-based One-time Passwords (TOTP), stored on the user's phone without internet access. This solution dramatically increases login security. - Encrypted Backup: In Authenticator, you can always make a secure encrypted backup, in case you lose your device or switch to a new one. For a safe and secure experience try the application NOW! Privacy Policy: https://maximaapps.com/authenticator/privacy/ Terms of Use https://maximaapps.com/authenticator/terms_of_use/ For any questions or requests, please use our customer support: feedback@maximaapps.com

下载量预测

专业 · 预览

预估总下载量

559K373K1.1M
保守估计乐观估计

8K

低 / 月

12K

预估 / 月

23K

高 / 月

基于5,590 条评分
假设评分率1.0%
应用年龄48 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。