This repository contains my personal notes and resources on OSINT (Open Source Intelligence) focused on ethical investigation, verification, and research using publicly available information.
If you are starting to investigate or maybe check on someone's Social media handle, its recommended to create a personality that doesn't exist. And for that you should create a name and image that doesn't exist in real life using:
- FakeNameGenerator for Name
- ThisPersonDoesNotExist for AI Image
the main Advantage is Anonymity and also the images used by this method don't come in reverse search.
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Cross-platform username discovery, reuse patterns, variations, and correlation pitfalls.
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Email-based investigation techniques, exposure analysis, deliverability checks, and search-based discovery.
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Reverse image search, metadata analysis, AI-generated image detection, and visual verification techniques.
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Location identification using satellite imagery, Street View, terrain comparison, and spatial reasoning.
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Publicly available movement data, transport-based OSINT, and domain-specific investigative resources.
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Profile structure analysis, behavioral patterns, interaction mapping, cross-platform linking, and historical content retrieval.
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Advanced search operator usage for refining queries and discovering indexed information efficiently.
This notebook emphasizes:
- Correlation over assumption
- Pattern recognition over isolated findings
- Verification through multiple independent signals
- Documentation and structured reasoning
> “Tools come and go.
> Methodology and mindset are what separate discovery from understanding.”
This notebook focuses on analyzing publicly available information and identifying patterns through structured reasoning and new
OSINT is dynamic. Platforms update features, privacy settings shift, and new technologies emerge.
This notebook will continue to evolve with new observations...