Abstract: In general, in one aspect, a system for providing honeypot network services may monitor network activity, and detect network activity indicative of network service discovery by a first device, for example, port scanning. The system may present a temporarily available network service to the first device in response to detecting the activity indicative of port scanning, for example, by redirecting traffic at an unassigned network address to a honeypot network service. The system may monitor communication between the first device and the presented honeypot network service to determine whether the monitored communication is indicative of a threat, and determine that the first device is compromised based on the monitored communication between the first device and the presented honeypot network service. The system may initiate measures to protect the network from the compromised first device.

Abstract: A network address translation device or similarly situated network device can cooperate with endpoints on a subnet of an enterprise network to secure endpoints within the subnet. For example, the network address translation device may be configured, either alone or in cooperation with other network devices, to block traffic from a compromised endpoint to destinations outside the subnet, and to direct other endpoints within the subnet to stop network communications with the compromised endpoint.

Abstract: Network devices within an enterprise are configured to pass out-of-band security information such as heartbeats, notifications of compromise, device identification information, and so forth between logical or physical network partitions such as subnets, routing domains, access points, and so forth. This technique can advantageously facilitate integrated management of endpoints across network boundaries that might otherwise interfere with the identification and management of specific devices.

Abstract: An endpoint in an enterprise network is configured to respond to internal and external detections of compromise in a manner that permits the endpoint to cooperate with other endpoints to secure the enterprise network. For example, the endpoint may be configured to self-isolate when local monitoring detects a compromise on the endpoint, and to respond to an external notification of compromise of another endpoint by restricting communications with that other endpoint.

Abstract: Endpoints within a subnet of a heterogeneous network are configured to cooperatively respond to internal or external notifications of compromise in order to protect the endpoints within the subnet and throughout the enterprise network. For example, each endpoint may be configured to self-isolate when a local security agent detects a compromise, and to shun one of the other endpoints in response to a corresponding notification of compromise in order to prevent the other, compromised endpoint from communicating with other endpoints and further compromising other endpoints either within the subnet or throughout the enterprise network.

Abstract: Secure management of an enterprise network is improved by creating a network adapter fingerprint for an endpoint that identifies all of the network adapters for that endpoint. With this information, the location and connectivity of the endpoint can be tracked and managed independent of the manner in which the endpoint is connecting to the enterprise network.

Abstract: In general, in one aspect, a system for providing honeypot network services may monitor network activity, and detect network activity indicative of network service discovery by a first device, for example, port scanning. The system may present a temporarily available network service to the first device in response to detecting the activity indicative of port scanning, for example, by redirecting traffic at an unassigned network address to a honeypot network service. The system may monitor communication between the first device and the presented honeypot network service to determine whether the monitored communication is indicative of a threat, and determine that the first device is compromised based on the monitored communication between the first device and the presented honeypot network service. The system may initiate measures to protect the network from the compromised first device.

Abstract: Phishing attacks attempt to solicit valuable information such as personal information, account credentials, and the like from human users by disguising a malicious request for information as a legitimate inquiry, typically in the form of an electronic mail or similar communication. By tracking a combination of outbound web traffic from an endpoint and inbound electronic mail traffic to the endpoint, improved detection of phishing attacks or similar efforts to wrongly obtain sensitive information can be achieved.

Abstract: In general, in one aspect, a system for providing honeypot network services may monitor network activity, and detect network activity indicative of network service discovery by a first device, for example, port scanning. The system may present a temporarily available network service to the first device in response to detecting the activity indicative of port scanning, for example, by redirecting traffic at an unassigned network address to a honeypot network service. The system may monitor communication between the first device and the presented honeypot network service to determine whether the monitored communication is indicative of a threat, and determine that the first device is compromised based on the monitored communication between the first device and the presented honeypot network service. The system may initiate measures to protect the network from the compromised first device.

Abstract: A firewall uses information about an application that originates a network request to determine whether and how to forward the request over a network. The firewall may more generally rely on the identity of the originating application, the security state of the originating application, the security state of the endpoint, and any other information that might provide an indication of malicious activity, to make routing and forwarding decisions for endpoint-originated network traffic.

Abstract: Attempts at lateral movement are detected by monitoring failed login attempts across a number of endpoints in a network. By configuring endpoints across the network to report unsuccessful login attempts and monitoring these login attempts at a central location, patterns of attempts and failures may advantageously be detected and used to identify malicious attempts at lateral movement within the network before any unauthorized lateral movement is achieved.

Abstract: A credential store for an endpoint contains credentials for accessing a remote service. In general, the credentials will not have an ordinary, legitimate use for the endpoint, serving instead to log in to a dedicated trapping service or the like. In the event that the endpoint becomes compromised and an attacker gains access to the credential store, the presentation of the credentials to the remote service can provide an indication of compromise to the endpoint and any suitable remediation may be taken.

Abstract: Static analysis is applied to unrecognized software objects in order to identify and address potential anti-sandboxing techniques. Where static analysis suggests the presence of any such corresponding code, the software object may be forwarded to a sandbox for further analysis. In another aspect, multiple types of sandboxes may be provided, with the type being selected according to the type of exploit suggested by the static analysis.

Abstract: Static analysis is applied to unrecognized software objects in order to identify and address potential anti-sandboxing techniques. Where static analysis suggests the presence of any such corresponding code, the software object may be forwarded to a sandbox for further analysis. In another aspect, multiple types of sandboxes may be provided, with the type being selected according to the type of exploit suggested by the static analysis.

Abstract: In the context of network activity by an endpoint in an enterprise network, malware detection is improved by using a combination of reputation information for a network address that is accessed by the endpoint with reputation information for an application on the endpoint that is accessing the network address. This information, when combined with a network usage history for the application, provides improved differentiation between malicious network activity and legitimate, user-initiated network activity.

Abstract: In general, in one aspect, a system for providing honeypot network services may monitor network activity, and detect network activity indicative of network service discovery by a first device, for example, port scanning. The system may present a temporarily available network service to the first device in response to detecting the activity indicative of port scanning, for example, by redirecting traffic at an unassigned network address to a honeypot network service. The system may monitor communication between the first device and the presented honeypot network service to determine whether the monitored communication is indicative of a threat, and determine that the first device is compromised based on the monitored communication between the first device and the presented honeypot network service. The system may initiate measures to protect the network from the compromised first device.

Abstract: Static analysis is applied to unrecognized software objects in order to identify and address potential anti-sandboxing techniques. Where static analysis suggests the presence of any such corresponding code, the software object may be forwarded to a sandbox for further analysis. In another aspect, multiple types of sandboxes may be provided, with the type being selected according to the type of exploit suggested by the static analysis.

Abstract: Static analysis is applied to unrecognized software objects in order to identify and address potential anti-sandboxing techniques. Where static analysis suggests the presence of any such corresponding code, the software object may be forwarded to a sandbox for further analysis. In another aspect, multiple types of sandboxes may be provided, with the type being selected according to the type of exploit suggested by the static analysis.