Code & Development · GitHub ·6 ★

RavenOsint

Multi-agent OSINT framework written in Rust for automated phishing site detection and malicious domain analysis. Combines web discovery, HTTP scraping, heuristic agents, and LLM verification in a fully modular pipeline. REST API + CLI. Educational use only.

Details

Author
misogare
Category
Code & Development
Platform
GitHub
Framework
custom
Language
rust
Stars
6
First indexed
2026-05-15
Last active
2026-03-25
Directory sync
2026-05-15

Overview

Multi-agent OSINT framework written in Rust for automated phishing site detection and malicious domain analysis. Combines web discovery, HTTP scraping, heuristic agents, and LLM verification in a fully modular pipeline. REST API + CLI. Educational use only.

Quick start

git

git clone https://github.com/misogare/RavenOsint

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RavenOsint can do

  • Framework — framework task automation.
  • Research — Searches sources and synthesises evidence-based answers.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Sql — sql task automation.
  • Education — Tutors learners through structured explanations.

Frequently asked questions

What is RavenOsint?
Multi-agent OSINT framework written in Rust for automated phishing site detection and malicious domain analysis. Combines web discovery, HTTP scraping, heuristic agents, and LLM verification in a fully modular pipeline. REST API + CLI. Educational use only.
How do I install RavenOsint?
Use git: `git clone https://github.com/misogare/RavenOsint`. Full setup details on the source page linked above.
Is RavenOsint open source?
RavenOsint is published on GitHub.
What are alternatives to RavenOsint?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for RavenOsint is sourced from GitHub, published by misogare.

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