Micro Focus Lcc

Entit Software LLC

Jeremy C Brooks

Sasi Siddharth Muthurajan

Matias Madou

Nidhi Govindram Kejriwal

Ronald Joseph Sechman

Ming Sum Sam Ng

Prajakta Subhash Jagdale

Gerald Sullivan

In some examples, a system includes a scan execution engine and a scan adaptation engine. The scan execution engine may execute a scan of a web application hosted on a web host. During scan execution, the scan adaptation engine may adapt a subsequent scan portion for later execution based on a scan metric received from a monitoring agent that monitors the web application, the web host, or both.

Scan adaptation during scan execution

Examples relate to detecting vulnerabilities in a web application. One example enables identifying a set of inputs in a web application input form. The set of inputs may be categorized based on a set of predetermined conditions. The set of inputs may be scored based on the categorization. A subset of the set of inputs may be determined to be a set of parameters of interest for the web application based on the scored set of inputs.

Detecting vulnerabilities in a web application

Examples relate to automated multi-credential assessment in a system. One example enables auditing an application by sending a first request for an action to be performed in the application, the first request based on a first privilege level, where the first privilege level corresponds with a first level of access to the application, and sending a second request for the action to be performed in the application, where the second request based on a second privilege level different from the first privilege level. The second privilege level may corresponds with a second level of access to the application different from the first level of access. The first request and second request may be performed, and the results of the performed first request and second request may be combined. The combined results may be made available.

Automated multi-credential assessment

Example embodiments disclosed herein relate to determining whether a protective measure meeting criteria has been performed on data. Execution of an application under test (AUT) is monitored. A message that a field of the AUT should be considered sensitive is received. Data is determined to be entered into the field. The data is monitored during execution of the AUT to determine whether the protective measure that meets the criteria has been performed on the data.

Determine protective measure for data that meets criteria

Example embodiments disclosed herein relate to a security test. A crawl of an application under test (AUT) is performed to determine an attack surface using crawl sessions. One or more parameters of the attack surface are probed during the respective crawl sessions. A trace is requested from an observer for the probe of the one or more parameters. Attack suggestions are received from the observer based on the trace of the one or more parameters.

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Alpharetta, GA, United States of America

Jeremy C Brooks