SIMILAR EMAIL SPAM DETECTION
    43.
    发明申请

    公开(公告)号:US20200065335A1

    公开(公告)日:2020-02-27

    申请号:US16674249

    申请日:2019-11-05

    摘要: Disclosed herein is a system and method for identifying a spam email message. To identify a spam message a similarity measurement hash and a sender hash is generated for each email message. Two or more previously received email messages are compared with an incoming email message. The incoming email message is identified as a spam message when the similarity measurement hash between incoming message and one of the received messages matches and the corresponding sender hash does not match. The system may integrate with other email servers through a DNS to identify spam emails across different organizations and locations. The system and method may further apply rules to particular match to whitelist a potential spam email.

    Sending a password to a terminal
    44.
    发明授权

    公开(公告)号:US10255430B2

    公开(公告)日:2019-04-09

    申请号:US15677785

    申请日:2017-08-15

    摘要: A mechanism is provided for sending a password to a terminal. A password send request is received. The status of each of a plurality of terminals coupled to the information processing device via a network is acquired. On the basis of the acquired statuses, at least one item is selected from a group comprising the terminal serving as a destination for the password, the communication method with the terminal, or the method for inputting the password in the terminal. The password is then sent to the selected terminal via a network.

    Providing application-specific threat metrics

    公开(公告)号:US09888022B2

    公开(公告)日:2018-02-06

    申请号:US14955546

    申请日:2015-12-01

    IPC分类号: G06F11/00 H04L29/06

    CPC分类号: H04L63/1425

    摘要: Assessment of threat risks associated with a given mobile device application (app) on a device type specific basis, so that the threat assessment is specific to a particular device type that is suitable for running the given app. The assessed device-type-specific risk is represented as device-type-specific risk metadata, which is associated as metadata with the given app. For example, the metadata may be stored along with the given app in a common repository that includes many apps. In some embodiments, the device-type-specific risk metadata is generated and stored comprehensively for all apps and device types used in an enterprise. The device-type-specific risk assessment, and corresponding device-type-specific risk metadata, may be based upon run time behavior of the given app on a given device type.