Abstract:
An authentication request is generated when a user of a client device attempts to initiate a user session with an application managed by a service provider. An authentication response is generated based on credentials received from the user. The authentication response includes an assertion on behalf of the user. A delivery resource locator for the assertion is rewritten to a resource locator of a proxy in order to redirect the assertion to the proxy. The authentication response is sent to the client device together with the resource locator of the proxy in order to cause the client device to send the assertion to the proxy that decodes the re-written resource locator and sends the assertion to the service provider.
Abstract:
In one embodiment, a device obtains one or more packets of a traffic session in a network. The device determines, for a particular packet of the one or more packets that match a filter, a fingerprint for the particular packet. The device identifies a plurality of traffic sessions whose packets match the fingerprint, wherein each of the plurality of traffic sessions is associated with at least one process. The device updates a process with the traffic session by applying a classifier to the plurality of traffic sessions.
Abstract:
According to certain embodiments, a method performed by a trust anchor comprises determining a random value (K), encrypting the random value (K) using a long-term key associated with a hardware component in order to yield an encrypted value, communicating the encrypted value to the hardware component, and receiving a response encrypted using the random value (K). The response is received from the hardware component. The method further comprise encrypting a schema using the random value (K) and sending the encrypted schema to the hardware component. The schema indicates functionality that the hardware component is authorized to enable.
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.
Abstract:
In one embodiment, a service receives administration traffic data in a network associated with a remote administration session in which a control device remotely administers a client device. The service analyzes the administration traffic data to determine whether any portion of the administration traffic data is resulting from an administration session involving a trusted administrator. The service flags a first portion of the administration traffic data as authorized when the first portion of the administration traffic data is determined to result from an administration session involving a trusted administrator, and a second portion of the administration traffic data is non-flagged. The service assesses the second portion of the administration traffic data using a machine learning-based traffic classifier to determine whether the second portion of the administration traffic data is malicious.
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.
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.
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.
Abstract:
In one embodiment, a device in a network receives an attack mitigation request regarding traffic in the network. The device causes an assessment of the traffic, in response to the attack mitigation request. The device determines that an attack detector associated with the attack mitigation request incorrectly assessed the traffic, based on the assessment of the traffic. The device causes an update to an attack detection model of the attack detector, in response to determining that the attack detector incorrectly assessed the traffic.
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.