Leveraging point inferences on HTTP transactions for HTTPS malware detection

    公开(公告)号:US10805341B2

    公开(公告)日:2020-10-13

    申请号:US15889392

    申请日:2018-02-06

    Abstract: In one embodiment, a traffic analysis service receives captured traffic data regarding a Transport Layer Security (TLS) connection between a client and a server. The traffic analysis service applies a first machine learning-based classifier to TLS records from the traffic data, to identify a set of the TLS records that include Hypertext Transfer Protocol (HTTP) header information. The traffic analysis service estimates one or more HTTP transaction labels for the connection by applying a second machine learning-based classifier to the identified set of TLS records that include HTTP header information. The traffic analysis service augments the captured traffic data with the one or more HTTP transaction labels. The traffic analysis service causes performance of a network security function based on the augmented traffic data.

    ENDPOINT-ASSISTED INSPECTION OF ENCRYPTED NETWORK TRAFFIC

    公开(公告)号:US20200053103A1

    公开(公告)日:2020-02-13

    申请号:US16100361

    申请日:2018-08-10

    Abstract: In one embodiment, a traffic inspection service executed by an intermediary device obtains, from a monitoring agent executed by an endpoint device, keying information for an encrypted traffic session between the endpoint device and a remote entity. The traffic inspection service provides a notification to the monitoring agent that acknowledges receipt of the keying information. The traffic inspection service uses the keying information to decrypt encrypted traffic from the encrypted traffic session. The traffic inspection service applies a policy to the encrypted traffic session between the endpoint device and the remote entity, based on the decrypted traffic from the session.

    ASSOCIATING A USER IDENTIFIER DETECTED FROM WEB TRAFFIC WITH A CLIENT ADDRESS

    公开(公告)号:US20190312893A1

    公开(公告)日:2019-10-10

    申请号:US16432400

    申请日:2019-06-05

    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.

    ENCRYPTED TRAFFIC ANALYTICS OVER A MULTI-PATH TCP CONNECTION

    公开(公告)号:US20190245868A1

    公开(公告)日:2019-08-08

    申请号:US15891708

    申请日:2018-02-08

    CPC classification number: H04L63/1408 H04L43/04 H04L69/16

    Abstract: Methods and systems to estimate encrypted multi-path TCP (MPTCP) network traffic include restricting traffic in a first direction (e.g., uplink) to a single path, and estimating traffic of multiple subflows of a second direction (e.g., downlink) based on traffic over the single path of the first direction. The estimating may be based on, without limitation, acknowledgment information of the single path, a sequence of acknowledgment numbers of the single path, an unencrypted initial packet sent over the single path as part of a secure tunnel setup procedure, TCP header information of the unencrypted initial packet (e.g., sequence number, acknowledgment packet, and/or acknowledgment packet length), and/or metadata of packets of the single path (e.g., regarding cryptographic algorithms, Diffie-Helman groups, and/or certificate related data).

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