Associating a user identifier detected from web traffic with a client address

    公开(公告)号:US10348745B2

    公开(公告)日:2019-07-09

    申请号:US15399003

    申请日:2017-01-05

    Abstract: In one embodiment, a device in a network receives a set of known user identifiers used in the network. The device receives web traffic log data regarding web traffic in the network. The web traffic log data includes header information captured from the web traffic and a plurality of client addresses associated with the web traffic. The device detects a particular one of the set of known user identifiers in the header information captured from the web traffic associated with a particular one of the plurality of client addresses. The device makes an association between the particular detected user identifier and the particular client address.

    AUTOMATIC GENERATION OF CLUSTER DESCRIPTIONS
    116.
    发明申请

    公开(公告)号:US20170099304A1

    公开(公告)日:2017-04-06

    申请号:US14872336

    申请日:2015-10-01

    Abstract: In one embodiment, a method includes receiving data associated with a cluster at a computer and processing the data at the computer to automatically generate a description of the cluster. The data includes cluster data comprising data within the cluster and non-cluster data comprising a remaining set of the data. The description comprises a minimal set of features that uniquely defines the cluster to differentiate the cluster data from non-cluster data. An apparatus and logic are also disclosed herein.

    DETECTING AND ALERTING ON DOMAIN FRONTING WITHIN A NETWORK

    公开(公告)号:US20240236118A1

    公开(公告)日:2024-07-11

    申请号:US18152649

    申请日:2023-01-10

    CPC classification number: H04L63/1416 H04L63/0236 H04L63/1425

    Abstract: This disclosure describes techniques and mechanisms for detecting and alerting on domain fronting within a network using network location context. Popular services are often hosted by multiple CDNs to increase resiliency and decrease latency. The techniques described herein utilize this insight to identify anomalous encrypted sessions by first creating a baseline of domain name resolutions for a given customer site. The techniques may then look for encrypted sessions destined to an IP address that is anomalous for the given domain name and is known to support domain fronting.

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