stanfrbd/cyberbro

• highreadme#1

  Clarify core purpose and reposition LLM integration in README

  Why:

  CURRENT

  # About
  
  Inspired by Cybergordon and IntelOwl.
  
  This project aims to provide a simple and efficient way to check the reputation of your observables using multiple services,
  without having to deploy a **complex** solution. Read the docs at https://docs.cyberbro.net/
  
  > [!TIP]
  > To build custom reports, use Cyberbro with your favorite **LLM** (Claude, OpenAI gpt-5...) via **MCP** (Model Context Protocol) \
  > Checkout Cyberbro MCP for more information.

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  # About
  
  Inspired by Cybergordon and IntelOwl, Cyberbro provides a simple and efficient way for security analysts, incident responders, and threat hunters to check the reputation of their observables (IoCs) using multiple CTI services. It streamlines the process of extracting IoCs from raw input and validating them, without requiring the deployment of complex solutions. Read the full documentation at https://docs.cyberbro.net/
  
  (Move the LLM tip to a new section like 'LLM Integration' or 'Advanced Use Cases' later in the README to avoid initial confusion.)

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• mediumreadme#2

  Strengthen README's opening problem statement

  Why:

  CURRENT

  <b><i>A simple application that extracts your IoCs from garbage input and checks their reputation using multiple services.</i></b>

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  <b><i>A simple application that extracts your IoCs from garbage input and checks their reputation using multiple services. Ideal for security analysts, incident responders, and threat hunters who need to quickly validate indicators without complex setups.</i></b>

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• lowtopics#3

  Add more specific topics for IoC management and log parsing

  Why:

  CURRENT

  blueteam, cti, cyber-threat-intelligence, cybersecurity, dfir, docker, hash, incident-response, infosec, ioc, ipinfo, osint, osint-python, python, security, security-tools, threat, threat-hunting, threat-intelligence, virustotal

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  blueteam, cti, cyber-threat-intelligence, cybersecurity, dfir, docker, hash, incident-response, infosec, ioc, ipinfo, osint, osint-python, python, security, security-tools, threat, threat-hunting, threat-intelligence, virustotal, ioc-management, threat-intelligence-platform, log-parser

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to quickly check threat intelligence indicator reputation across multiple CTI services?

  you: not recommended
  AI recommended (in order):

  1. MISP (Malware Information Sharing Platform & Threat Sharing) (MISP/MISP)
  2. VirusTotal
  3. Intel471 TITAN
  4. Recorded Future
  5. Anomali ThreatStream
  6. Pulsedive
  7. Censys

  AI recommended 7 alternatives but never named stanfrbd/cyberbro. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Need a simple tool to extract and validate IoCs from messy security logs.

  you: not recommended
  AI recommended (in order):

  1. IOC Parser (fireeye/ioc_parser)
  2. MISP (MISP/MISP)
  3. TheHive Project (TheHive-Project/TheHive)
  4. Cortex (TheHive-Project/Cortex)
  5. Logstash (elastic/logstash)
  6. Splunk

  AI recommended 6 alternatives but never named stanfrbd/cyberbro. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of stanfrbd/cyberbro?

  pass
  ✓AI named stanfrbd/cyberbro explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts stanfrbd/cyberbro in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named stanfrbd/cyberbro explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo stanfrbd/cyberbro solve, and who is the primary audience?

  pass
  ✓AI named stanfrbd/cyberbro explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?