Topics / #investigation

Investigation projects on GitHub

OSINT profiling and phone number investigation.

As of , the most-starred Investigation projects on GitHub are maigret (39.2K stars), phoneinfoga (18.2K stars) and mvt (15.4K stars). GitHub.Locker tracks 6 Investigation repositories with 97.1K stars combined. The fastest-growing on October 16 was maigret, with +41 stars in a day.

6Projects
97.1KStars in total
+106Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

6 projects · by stars

  1. #1 · soxoj/maigret

    maigret

    Maigret is an OSINT command-line tool that builds a dossier on a person by checking for an account under a given username across thousands of websites and pulling together whatever profile info it finds, with no API keys required.

    39.2K
  2. #2 · sundowndev/phoneinfoga

    phoneinfoga

    An open-source OSINT framework for scanning international phone numbers. It gathers basics like country, area, carrier and line type, then tries to find the VoIP provider or identify the owner.

    18.2K
  3. #3 · mvt-project/mvt

    mvt

    MVT (Mobile Verification Toolkit) is a collection of forensic utilities that help gather and analyze traces on Android and iOS devices to identify a potential compromise, originally built by Amnesty International's Security Lab during the Pegasus Project.

    15.4K
  1. 4

    zhao

    14.1Kprogramthink/zhao · Python

    A dataset documenting China's 'Princeling Party' (太子党) — the family and business networks of the country's political elite — compiled to expose corruption and nepotism among Chinese officials.

  2. 5

    flowsint

    9.8Kreconurge/flowsint · TypeScript

    Flowsint is an open-source, graph-based OSINT investigation tool that lets analysts explore relationships between people, domains, IPs, organizations and more through a visual graph interface with automated enrichers.

  3. 6

    elosys

    458YuriRDev/elosys · TypeScript

    Elosys builds a consolidated database of Brazilian political candidates (2014-2026) from official government sources, cross-referenced by CPF/CNPJ, to investigate relationships between politicians and surface indicia of suspicious patterns like circular donations, shell companies, and wealth incompatible with declared income.

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