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Proton Authenticator

Proton Authenticator

Proton AG

Productivity免费v1.4.1
App Store
评分

4.3

207 条评分

星级

★★★★☆

最近更新

2026年4月27日

发布日期

2025年7月31日

更新内容

v1.4.1

Your 2FA codes now live entirely on your device, giving you complete control over your security. We’ve introduced significant improvements to the backup screen, featuring a new system that works seamlessly to ensure your data remains secure and accessible. Alongside these functional upgrades, we’re celebrating the adoption of our new Liquid Glass design. The app now embraces this latest design language, delivering a more modern and native experience that feels fresh and intuitive.

应用信息

开发者
Proton AG
分类
Productivity
价格
免费
版本
1.4.1
App ID
6741758667

简介

Get the authenticator trusted by millions — from Proton Mail, the world's largest encrypted email provider. Proton Authenticator is open source, end-to-end encrypted, and protected by strict Swiss privacy laws. Protect all your new accounts and strengthen security on your existing ones. Proton Authenticator keeps your 2FA codes secure, accessible, and completely private — with full control over where your data is stored. KEY FEATURES Local-First Storage:Your 2FA codes are stored entirely on your device, giving you complete control over your data. Effortless Import: Migrate from Google Authenticator, Authy, or any other app in seconds. Secure Backup & Export: Retain full control of your data with easy backup and restore options. Swiss Privacy by Design: Built under Switzerland's strongest data protection regulations. Open Source & Transparent: Auditable code. No tracking. No ads. Take control of your digital security with encryption you can trust. Free to use: No Proton account required, ad-free. Offline support: On mobile and desktop apps No other 2FA app provides this combination of security and privacy. Trusted by millions. Built by Proton. Take control of your digital security today. Terms of service: https://proton.me/legal/terms Learn more: https://proton.me

下载量预测

专业 · 预览

预估总下载量

21K14K41K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

4K

高 / 月

基于207 条评分
假设评分率1.0%
应用年龄10 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。