mxrch/ghunt

🕵️‍♂️ Offensive Google framework.

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Summary Information

Updated 9 minutes ago
Added to GitGenius on September 3rd, 2026
Created on October 2nd, 2020
Open Issues & Pull Requests: 76 (+0)
GitHub issues: Enabled
Number of forks: 1,710
Total Stargazers: 19,512 (+0)
Total Subscribers: 557 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.7 days
Mean response time: 48.7 days
90th percentile: 113.3 days
Tracked items: 61

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 15% of issues opened in the past year have been closed. Three people close 82% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 20
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 411 days
Stale 30+ days: 17
Stale 90+ days: 14

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (4)
  • third party bug (2)
  • can't read (1)
  • help wanted (1)
  • question (1)
  • spam (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

GHunt is an offensive Google framework designed for open-source intelligence gathering and research related to Google services.

The tool addresses the need for automated reconnaissance against Google accounts and services by providing a structured framework that combines multiple reconnaissance techniques. It operates through a modular architecture where users authenticate via a browser extension companion, then leverage specialized modules to extract information from Google services. The framework handles authentication through a local listener that coordinates with the GHunt Companion extension available for Firefox and Chrome, streamlining the login process for subsequent operations.

GHunt suits security researchers, penetration testers, and open-source investigators who need programmatic access to Google reconnaissance capabilities. The tool offers both command-line and Python library interfaces, making it suitable for one-off investigations or integration into larger security workflows. The async architecture and JSON export functionality enable efficient batch processing and data pipeline integration. Developers can import GHunt as a library in their own projects using pip installation, with examples and documentation provided to support integration work.

The project maintains active development with Python 3.13 compatibility and a minimum requirement of Python 3.10. The codebase is structured to support both CLI usage and library consumption, with automated virtual environment management to prevent dependency conflicts. Documentation is available through a wiki and example scripts, inviting community contribution to expand the knowledge base.