Rapid7, Inc.

Dan Kuykendall

Michael J Morton

Andrew Tisdale

Dmitriy Kashitsyn

Matthew David Cohen

Artem Astrakhantsev

Jijo John

An automated login framework for dynamic application security testing is disclosed. A web application executing on a computing device is accessed and an automated login framework (ALF) is injected into an onload event of a web browser associated with the web application. The ALF is then accessed with a credential associated with the web application. A login page associated with application is identified by matching links or buttons with a user-defined regular expression and a user-defined wordlist. Then, a login form in the login page is detected by executing a signature technique, a dictionary technique, and a multistep signature technique. The login form is populated using the credential and submitted for authentication, and a status with a confidence score is received indicating whether the authentication was successful or failed.

Automated login framework for application security testing

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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La Mirada, CA, United States of America

Dan Kuykendall