OSINT Engineer Builds 4,000-Repo Arsenal and Uses Local LLMs to Automate Investigations
By
HackMoN Ai
Summary
An OSINT engineer built a massive arsenal of 4,000 GitHub repositories containing scripts, techniques, and data sources for open-source intelligence work. By combining this code library with locally-run 70B-parameter LLMs (like Hermes 4), the engineer can generate custom investigative solutions in hours instead of weeks. The methodology emphasizes privacy (local LLMs), speed, and tailored analysis for OSINT investigations.
Source
bskyOSINT Engineer Builds 4,000-Repo Arsenal and Uses Local LLMs to Automate Investigationsundercodetesting.comKey quotes
· 3 pulledBy amassing thousands of GitHub repositories—each containing unique scripts, techniques, and data sources—and then querying them with a powerful 70B-parameter model like Hermes 4, an engineer can generate bespoke solutions in hours instead of weeks.
The convergence of open-source intelligence (OSINT) and locally-run large language models (LLMs) is redefining investigative capabilities.
This article dissects the methodology behind creating a massive OSINT code library and harnessing local LLMs for rapid, private, and tailored analysis.
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