Cyberspace Test
Abstract
The CTT project developed a next generation Traffic Generation and Content System that used modern Artificial Intelligence techniques and detailed network, human social, and workflow models to generate traffic. This technology development worked to ensure host and network traffic that was not easily distinguished from human generated traffic. The CTT project developed the novel capability to fuzz targets’ virtual machine state. This technology enabled exploring an entirely new class of attacks compared to existing fuzzers which fuzzed only the program inputs. The CTT project developed a capability to address fuzzing technical challenges by building on the VADER Modular Open Source Architecture (MOSA) framework that will enable fuzzing for critical DoD cyber-physical systems. The CTT project developed a framework to provide the red team and other DoD test organizations an automated attack capability. This technology development enabled red team personnel to focus on more challenging problems and other test organizations to conduct automated testing. The CTT developed methods to automate the enumeration of vulnerable services on a host that enabled red team personnel to automate common attack patterns. The CTT developed frameworks to support the ability of red teams to rapidly create and deploy capabilities to abuse existing functionality in applications and operating systems that enabled adversary emulation the use of automated attack suites. The CTT project developed tools to measure the efficacy of cyber testing events and share anonymized results for all DoD testing. This technology enabled more thorough testing and improved testing efficiency.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2025
- Source ID
- 1b63c291e67048cbe9eae96d4a5fb6ff