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osint-brazuca — Repositório criado com intuito de reunir informações, fontes(websites/portais) e tricks de OSINT dentro do contexto Brasil. | Kitploit
Tools/GitHubGitHub/osintbrazuca/osint-brazuca
OSINT (Open Source Intelligence)ReconnaissanceInformation GatheringThreat IntelligenceLearning & EducationCurated Resources
GitHubosintbrazuca/osint-brazuca

osint-brazuca

Repositório criado com intuito de reunir informações, fontes(websites/portais) e tricks de OSINT dentro do contexto Brasil.

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2.6k3555241 day agoReviewed by Kitploit

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🇧🇷 OSINT BRAZUCA 🇧🇷

Catalog of Brazilian open sources (public, legal, and ready for investigation).
Know in order to protect, investigate in order to defend.

OSINT Brazuca

License Contributors Open issues Discussions Forks Stars


Main README Practical Examples Flowcharts Quick Guide Contribute Dataset Tools

Introduction

The OSINT Brazuca Project is a repository created with the aim of gathering information, sources (websites/portals), and OSINT tricks within the Brazilian context 🇧🇷.

OSINT (short for Open source intelligence) is an intelligence model that aims to find, select, and acquire information from public sources and analyze it so that, together with other sources, it can produce knowledge. Information collected through open sources is low-cost compared to costly field operations.

Authors 👔


  • Cleiton P. (a.k.a MrCl0wnLab) - Twitter, Git, Linkedin

  • Diego (a.k.a c4nh0t0) - Twitter, Git



⚠️ Legal and Ethical Notices

[!IMPORTANT] This repository contains only PUBLIC and LEGAL sources of information. Improper use of the information contained herein is the sole responsibility of the user.

🔒 LGPD - General Data Protection Law

[!WARNING] All queries must respect Law No. 13,709/2018 (LGPD). The processing of personal data must have a legal basis and a legitimate purpose.

[!NOTE] Legal Basis: Law No. 13,709/2018 (LGPD) | Law No. 12,965/2014 (Marco Civil) | Law No. 12,527/2011 (LAI)

✅ Best Practices:
  • Use only official public sources
  • Respect people's privacy and dignity
  • Document sources and methodology used
  • Have a legitimate purpose (journalism, research, security, compliance)
  • Do not share sensitive data publicly
❌ Prohibited Practices:
  • Social engineering or system intrusion
  • Stalking or harassment
  • Use for discrimination or prejudice
  • Unauthorized commercialization of data
  • Breach of professional confidentiality

⚠️ Limitations and Important Notices

🕒 Data Updates:
  • Public data may be outdated
  • Always check the last update date on the sources
  • Cross-reference information from multiple sources for validation
  • Government systems may be under maintenance
🔒 Access and Requirements:
  • Some portals require prior registration via gov.br
  • Services may have usage limitations
  • CAPTCHA may limit automated queries
🤖 Rate Limiting and Automation:
  • Public APIs have request limits
  • Respect the established technical limits
  • Use cache when possible to reduce requests
  • Bulk queries may be blocked
📱 Responsibility and Ethics:
  • Information is public but protected by the LGPD
  • Improper use may result in legal and criminal sanctions
  • Do not share sensitive data publicly
  • Always document the legitimate purpose of the query
  • Keep a record of all research performed
  • In short: Don't be an asshole

🗂️ Structured Dataset

In addition to the Markdown catalog, this repository publishes a structured JSON version in the data/ folder, automatically generated from this README. It allows you to locate sources by input type, that is, what you already have on hand (CPF, CNPJ, license plate, domain, phone...), and by return type, which is the data the source returns.

FileContent
data/sources.json510 sources in 39 categories, with grouped links. Canonical file.
data/index.json1,258 flattened links, one record per URL. Search-ready format.
data/taxonomy.jsonControlled vocabulary: 31 input types, 41 return types, and 14 source types.
data/overrides.jsonManual classification corrections.

[!IMPORTANT] sources.json and index.json are generated. Do not edit by hand: the next build overwrites them. Classification corrections go in overrides.json. Each source is identified by the id field (category/name), stable across builds; the dataset does not store its position in the README.

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