Abstract: Arrangements for comprehensive threat mitigation are provided. In some aspects, an indication of threat or potential threat may be received from an external entity. In some examples, the threat may include a cybersecurity threat. In response to receiving the indication of threat, identifying data associated with the external entity may be extracted from the indication and used to retrieve pre-stored customizations associated with the desired mitigating actions of the external entity. The one or more mitigating actions may be identified and instructions to execute the one or more mitigating actions may be generated and transmitted to one or more computing devices for execution.

Abstract: Detection and notification of malware at a user device may be performed by a validation server. The user device may hash elements associated with a document object model of a webpage and send generated hash values to the validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.

Abstract: Detection and notification of malware at a user device may be performed by a validation server. The user device may hash elements associated with a document object model of a webpage and send generated hash values to the validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for providing intelligent proactive identification of, and protection against, malfeasant data collection, user device control, or user account access. The invention utilizes a continuous data analysis technique in order to recognize patterns in device data and network communications indicative of remote device control requests, and responds to these identified data points by implemented an automated solution to protect users against unauthorized access of their devices or accounts.

Abstract: Aspects of this disclosure relate to detection and notification of malware at a user device. The user device may hash elements associated with a document object model of a webpage and send generated hash values to a validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.