Tool profile
Recon-ng
Open-source modular reconnaissance framework for technical OSINT
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Live interface preview
lanmaster53
Open-source modular reconnaissance framework for technical OSINT
Best for: Technical analysts who need repeatable passive reconnaissance and enrichment around domains, organizations, contacts, or infrastructure leads.
Signal summary
Trust / disclosure
How to read this profile
Editorial line
Editorial judgment and commercial context stay separate on OSINT4ALL.
Review status
Hands-on notes or editorial review dates are attached where available.
Claims / submissions
Corrections and claim requests are reviewed before any public change is made.
Commercial context
No commercial relationship is disclosed on this profile.
Editorial verdict
Use case and fit
This is editorial guidance, not vendor copy.
Technical analysts who need repeatable passive reconnaissance and enrichment around domains, organizations, contacts, or infrastructure leads.
Good fit for advanced OSINT and security teams, but it needs strong process discipline to avoid noisy or unsupported conclusions.
Best when technical OSINT needs a modular command-line workspace for passive reconnaissance and enrichment.
Operational snapshot
Workflow, access, and coverage
Keep the workspace scoped, prefer passive modules, record sources and run dates, export only relevant leads, then corroborate high-value findings with primary records or independent tools.
Interface and documentation are English-first. Source data returned by modules can be multilingual.
Limits
Strengths, caveats, and risk
Workspace-driven approach, modular collection model, and repeatability for analysts comfortable with command-line tooling.
Requires technical skill, setup time, source/API configuration, and careful documentation to keep outputs interpretable.
Coverage depends on modules and external sources. Results are not proof of attribution or relationship by themselves and may include stale or incomplete data.
Automated reconnaissance can create noisy, sensitive, or overbroad datasets. Do not treat collected leads as verified facts.
Keep collection passive unless you have authority for active checks. Respect source terms, API limits, and local law.
Treat module output as source-specific evidence. Record provenance and verify important leads outside the framework.
Alternatives
Alternatives
Maintenance
Last verified & suggest an update
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Last verified: 2026-05-06
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