2.9
121 条评分
★★★☆☆
2026年4月2日
2012年2月10日
更新内容
v6.4.0This update from Apple will improve the functionality of this app. No new features are included. Bug fix and improvement.
应用信息
- 开发者
- Fortinet
- 分类
- Business
- 价格
- 免费
- 版本
- 6.4.0
- App ID
- 500007723
简介
FortiToken Mobile is an OATH compliant, event-based and time-based One Time Password (OTP) generator application for the mobile device. It is the client component of Fortinet’s highly secure, simple to use and administer, and extremely cost effective solution for meeting your strong authentication needs. You will need to use FortiOS or FortiAuthenticator as the back-end validation server. Requires iOS 12 or later. Compatible with iPhone, iPad, and iPod touch. Privacy and Control: FortiToken Mobile cannot change settings on your phone, take pictures or video, record or transmit audio, nor can it read or send emails. Further, it cannot see your browser history, and it requires your permission to send you notifications or to change any settings. And, FortiToken Mobile cannot remotely wipe your phone. Any visibility FortiToken Mobile requires is to verify your OS version to determine app version compatibility. Sensitive information, such as Email Address or Token seeds may be entered during manual installation of FortiToken tokens, 3rd Party tokens, and Token Transfer. While FortiToken Mobile cannot change any settings without your permission, the following permissions are relevant to FortiToken Mobile operations: • Access to camera for scanning QR codes for easy token activation • TouchID/FaceID: used for app security, respectively. • Access to the Internet for communication to activate tokens and receive push notifications • "Send Feedback by Email", to automatically populate the "Sender" field • Internally share files between applications to prepare an attachment to be sent by email for "Send Feedback by Email" • FortiToken must keep the phone awake while it is upgrading the internal database to avoid data corruption. By downloading and Installing FortiToken Mobile, I agree with all terms stated above.
下载量预测
预估总下载量
70
低 / 月
93
预估 / 月
139
高 / 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。
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