Micro Focus Lcc

Alexander Michael Hoole

Michael F Angelo

Ming Sum Sam Ng

Sasi Siddharth Muthurajan

Nidhi Govindram Kejriwal

Reiner Kappenberger

Gerald E Sullivan, Ii

Ali ElKortobi

Domingo Juan Rivera

Testing software applications often requires a balancing of thoroughness versus the time and computing resources available to perform such tests. Certain data handling operations may potentially expose data to unauthorized parties. However, not all data is equal; some data requires a greater degree of protection than other data, which may be based on a security context (e.g., rule, law, policy, etc.). By generating rules determined by a particular context, extraneous tests on data outside of the context, may be omitted. Unnecessary tests may be omitted and the results of each analysis process correlated to identify actual vulnerabilities and omit false positives, such as vulnerabilities to data that does not require the same degree of care to avoid unauthorized exposure.

Sensitive information discovery and test component configuration

A primary blockchain for a software application is created that comprises a first block associated with a software component of the software application. An event is received that is associated with the software component. In response to receiving the event, a component blockchain is created that is associated with the software component. The component blockchain comprises a second block associated with the event. The component blockchain links to the primary blockchain. This provides a structure for managing supply chains of software components. As new software components are received, the new software components can be managed and tracked for quality/security.

Software supply chain quality control evaluation using blockchain

A method includes: identifying, by a runtime instrumentation agent of a web server, a plurality of attack surfaces of a web application executed on the web server; generating, by the runtime instrumentation agent, a plurality of hash values, where each hash value is generated based on one of the plurality of attack surfaces; and transmitting, by the runtime instrumentation agent, the plurality of hash values to an attack server external to the web server, where the attack server is to determine whether to scan each attack surface based on the plurality of hash values.

Vulnerability scanning of attack surfaces

In some examples, a method may include detecting a vulnerability in an application during execution on a first computing device. The method may include triggering a breakpoint based on the detecting, thereby pausing the execution of the application before execution of a portion of code that exploits the vulnerability. The method may include communicating a message indicating occurrence of the breakpoint. The method may include receiving a connection request from a second computing device in response to the message. The method may include resuming execution of the application from the breakpoint subject to a signal from the second computing device.

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Sunnyvale, CA, United States of America

Alexander Michael Hoole