Corelogic Solutions, LLC

Rapid7, Inc.

Matthew David Cohen

Daniel W Ray

Michael J Morton

Andrew Tisdale

Dmitriy Kashitsyn

Albert Noble McElmon, Iii

Dan Kuykendall

Artem Astrakhantsev

Paul S Hethmon

A system and method exploit information gained by observing abnormal commonality factors from multiple accounts over a predetermined time frame. The presence of an abnormal commonality factor serves as an indication that a group of accounts may have been compromised by a common actor via information gained by successful phishing of multiple users' information to improperly gain access to their respective accounts. Once this commonality associated with phishing is detected, the system provides a mechanism and process to rapidly respond to the phishing-originated attack to minimize information security damage to the affected accounts.

Phishing detection and targeted remediation system and method

A method, system and computer program product assess risk of an unauthorized API login and mitigate damage from an unauthorized API login. The method includes collecting in a database license attributes of a user license, user profile attributes, and database content change attributes; receiving an API login request; comparing features of the API login request to at least one of the database license attributes, user profile attributes, and database content change attributes against a predetermined threshold; assessing a risk of the an unauthorized API login request based on a result of the comparison; and based on a level of the assessed risk, implemented protective action to mitigate harm that may result from an unauthorized user from accessing information or services from a computer system by way of an API.

System, computer program product and method for risk evaluation of API login and use

The field of the invention relates to systems and methods for advanced dynamic analysis scanning for vulnerabilities using a universal translator. In an embodiment, the system includes a dynamic analysis scanner subsystem communicatively coupled to a networked computing system; the scanner subsystem is configured to crawl one or more dynamic web pages of the networked computing system, generate test data for the networked computing system, transmit the generated test data to the networked computing system, and record the networked computing system's response to the generated test data. The scanner may further comprise a universal translator configured to detect vulnerabilities and generate test data for the dynamic web pages of the networked computing system. The scanner subsystem may further comprise a smart scheduler.

Systems and methods for advanced dynamic analysis scanning

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Irvine, CA, United States of America

Matthew David Cohen