Chain Intel

Intelligence reports indicate that **Syonara Systems Corp**, a global strategy firm, is rushing to deploy a new, undisclosed AI decision-support system. While their external perimeter seems hardened, we believe their development supply chain is leaking sensitive data through human error. We suspect that key members of their AI R&D team have inadvertently exposed internal project details across professional networking sites and code repositories. Your mission is to profile the organization, identify the primary AI architect, and trace their digital footprint to uncover a critical vulnerability in the model's supply chain before the system goes live. The target environment is hosted at **10.10.1.123**. This IP address simulates a complete corporate internet ecosystem, including the company website, a professional social network, a code repository, and an AI model registry. Your task is to perform a comprehensive supply chain assessment starting from zero knowledge. You must profile the corporate structure to discover the hidden AI initiative and the key personnel behind it. You will need to pivot across simulated social media (Accessible on port 8000) to identify their developer accounts, locate specific repositories (Accessible on port 13000) leaking configuration metadata, and extract internal model identifiers. Finally, you will analyze the model's artifacts (Accessible on port 15000) to determine the underlying framework and its version.