Privacy enhancing man-in-the-middle

    公开(公告)号:US11671447B2

    公开(公告)日:2023-06-06

    申请号:US17390518

    申请日:2021-07-30

    CPC classification number: H04L63/1466 H04L63/0485 H04L63/166 H04L63/30

    Abstract: In one embodiment, a device in a network receives traffic sent from a first endpoint. The device sends a padding request to the second endpoint indicative of a number of padding bytes. The device receives a padding response from the second endpoint, after sending the padding request to the second endpoint. The device adjusts the received traffic based on the received padding response by adding one or more frames to the received traffic. The device sends the adjusted traffic to the second endpoint.

    AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH

    公开(公告)号:US20230164185A1

    公开(公告)日:2023-05-25

    申请号:US18095443

    申请日:2023-01-10

    CPC classification number: H04L63/166 H04L63/306 G06F18/22 G06F18/23

    Abstract: Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The process then annotates each cluster with descriptive information and uses a rule-based system to derive an informative name from that descriptive information, e.g., “winnt amp client” or “cross-platform browser”. Optionally, the learned database may be augmented by a user to clarify custom process labels. Additionally, the generated database may be used to report the inferred processes in the same way as databases generated with endpoint ground truth.

    CORRELATING ENDPOINT AND NETWORK VIEWS TO IDENTIFY EVASIVE APPLICATIONS

    公开(公告)号:US20230129786A1

    公开(公告)日:2023-04-27

    申请号:US18088284

    申请日:2022-12-23

    Abstract: In one embodiment, a service receives traffic telemetry data regarding encrypted traffic sent by an endpoint device in a network. The service analyzes the traffic telemetry data to infer characteristics of an application on the endpoint device that generated the encrypted traffic. The service receives, from a monitoring agent on the endpoint device, application telemetry data regarding the application. The service determines that the application is evasive malware based on the characteristics of the application inferred from the traffic telemetry data and on the application telemetry data received from the monitoring agent on the endpoint device. The service initiates performance of a mitigation action in the network, after determining that the application on the endpoint device is evasive malware.

    Network telemetry collection with packet metadata filtering

    公开(公告)号:US11563771B2

    公开(公告)日:2023-01-24

    申请号:US16693885

    申请日:2019-11-25

    Abstract: In one embodiment, a telemetry exporter in a network establishes a tunnel between the telemetry exporter and a traffic analysis service. The telemetry exporter obtains packet copies of a plurality of packets sent between devices via the network. The telemetry exporter forms a set of traffic telemetry data by discarding at least a portion of one or more of the packet copies, based on a filter policy. The telemetry exporter applies compression to the formed set of traffic telemetry data. The telemetry exporter sends, via the tunnel, the compressed set of traffic telemetry data to the traffic analysis service for analysis.

    ENDPOINT-ASSISTED INSPECTION OF ENCRYPTED NETWORK TRAFFIC

    公开(公告)号:US20220239678A1

    公开(公告)日:2022-07-28

    申请号:US17722131

    申请日:2022-04-15

    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.

    IDENTIFYING AND USING DNS CONTEXTUAL FLOWS

    公开(公告)号:US20220210183A1

    公开(公告)日:2022-06-30

    申请号:US17696081

    申请日:2022-03-16

    Abstract: In one embodiment, a device in a network captures domain name system (DNS) response data from a DNS response sent by a DNS service to a client in the network. The device captures session data for an encrypted session of the client. The device makes a determination that the encrypted session is malicious by using the captured DNS response data and the captured session data as input to a machine learning-based or rule-based classifier. The device performs a mediation action in response to the determination that the encrypted session is malicious.

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