Preventing phishing attacks based on reputation of user locations

    公开(公告)号:US09853983B2

    公开(公告)日:2017-12-26

    申请号:US15400876

    申请日:2017-01-06

    Applicant: Facebook, Inc.

    Abstract: User sessions are authenticated based on locations associated with a user account used for sending a request for creating a session. Examples of locations of a source of a request include a geographical location, a network address, or a machine cookie associated with a device sending the request. Locations of the request are compared with stored safe locations associated with the user account and a suspiciousness index is determined for the session. The level of authentication required for the session is determined based on the suspiciousness index. Locations are associated with a reputation based on past history of sessions originating from the locations. A location associated with a history of creating suspicious session is considered an unsafe location. Reputation of the location originating the session is used to determine the level of authentication required for the session.

    PREVENTING PHISHING ATTACKS BASED ON REPUTATION OF USER LOCATIONS

    公开(公告)号:US20170118225A1

    公开(公告)日:2017-04-27

    申请号:US15400876

    申请日:2017-01-06

    Applicant: Facebook, Inc.

    Abstract: User sessions are authenticated based on locations associated with a user account used for sending a request for creating a session. Examples of locations of a source of a request include a geographical location, a network address, or a machine cookie associated with a device sending the request. Locations of the request are compared with stored safe locations associated with the user account and a suspiciousness index is determined for the session. The level of authentication required for the session is determined based on the suspiciousness index. Locations are associated with a reputation based on past history of sessions originating from the locations. A location associated with a history of creating suspicious session is considered an unsafe location. Reputation of the location originating the session is used to determine the level of authentication required for the session.

    Differentiating Between Good and Bad Content in a User-Provided Content System
    3.
    发明申请
    Differentiating Between Good and Bad Content in a User-Provided Content System 审中-公开
    在用户提供的内容系统中区分好的和坏的内容

    公开(公告)号:US20140331283A1

    公开(公告)日:2014-11-06

    申请号:US14332042

    申请日:2014-07-15

    Applicant: Facebook, Inc.

    Abstract: A system differentiates good content from bad content in a user-provided content system. Messages are analyzed for features that characterize messages. A feature may occur in one or more messages. A feature that has more than a threshold number of occurrences in messages in a time interval is identified for further analysis. Enhanced authentication is requested from senders of the messages with occurrences of the identified feature. Based on the rate at which senders of the messages pass authentication, the content associated with the message is determined to be good content or bad content. Subsequent messages are blocked or successfully delivered based on whether features occurring in the messages are indicative of good content or bad content.

    Abstract translation: 系统将用户提供的内容系统中的良好内容与不良内容区分开来。 分析消息表征消息的功能。 一个或多个消息可能发生一个特征。 识别出在时间间隔内具有超过阈值数量的消息的特征以用于进一步分析。 来自发送者的发送者请求增强的身份验证,并发现已识别的功能。 基于消息的发送方通过认证的速率,与消息相关联的内容被确定为良好的内容或不良内容。 基于消息中发生的功能是否表示良好的内容或不良内容,后续消息被阻止或成功传送。

    Differentiating between good and bad content in a user-provided content system
    4.
    发明授权
    Differentiating between good and bad content in a user-provided content system 有权
    区分用户提供的内容系统中的好与坏内容

    公开(公告)号:US09356920B2

    公开(公告)日:2016-05-31

    申请号:US14332042

    申请日:2014-07-15

    Applicant: Facebook, Inc.

    Abstract: A system differentiates good content from bad content in a user-provided content system. Messages are analyzed for features that characterize messages. A feature may occur in one or more messages. A feature that has more than a threshold number of occurrences in messages in a time interval is identified for further analysis. Enhanced authentication is requested from senders of the messages with occurrences of the identified feature. Based on the rate at which senders of the messages pass authentication, the content associated with the message is determined to be good content or bad content. Subsequent messages are blocked or successfully delivered based on whether features occurring in the messages are indicative of good content or bad content.

    Abstract translation: 系统将用户提供的内容系统中的良好内容与不良内容区分开来。 分析消息表征消息的功能。 一个或多个消息可能发生一个特征。 识别出在时间间隔内具有超过阈值数量的消息的特征以用于进一步分析。 来自发送者的发送者请求增强的身份验证,并发现已识别的功能。 基于消息的发送方通过认证的速率,与消息相关联的内容被确定为良好的内容或不良内容。 基于消息中发生的功能是否表示良好的内容或不良内容,后续消息被阻止或成功传送。

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