KatrielMoses

KatrielMoses / MailAccess

Public

Free email OSINT tool, 800+ platforms, identity clustering, breach detection. No API keys required. pip install mailaccess

cybersecurity email email-automation email-osint holehe
18
0
69% credibility
Found May 21, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

MailAccess is an open-source intelligence platform that investigates email addresses by searching across breach databases, social media platforms, DNS records, and other public sources. When you provide an email address, it runs dozens of checks simultaneously and produces an exposure score along with detailed findings about discovered accounts, leaked passwords, and personal information. The tool includes a web interface for visual exploration, a command-line interface for automation, and exports reports in multiple formats including PDF, CSV, and specialized formats for threat intelligence platforms.

How It Works

1
🔍 You discover MailAccess

You hear about a tool that can investigate any email address by searching across hundreds of public databases and social platforms.

2
📦 You install the tool

You download and set up MailAccess on your computer, choosing either the simple command-line version or the full web interface.

3
🎯 You enter an email to investigate

You type in an email address and watch as the tool springs to life, simultaneously checking hundreds of sources at once.

4
⚡ Results stream in real-time

As each check completes, findings appear on your screen showing discovered accounts, breach records, and personal information.

5
You review your findings
🔗
Explore the identity graph

You visualize how different accounts and platforms connect to build a complete picture of the target.

📄
Export a report

You save the results as a PDF, spreadsheet, or structured data file to share with your team.

✅ You have a complete OSINT report

Within minutes, you have a comprehensive intelligence report showing all public data associated with that email address.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 18 to 18 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is MailAccess?

MailAccess is a self-hostable OSINT platform written in Python that investigates email addresses by probing breach databases, social networks, DNS records, and the open web. You feed it an email, and it fans out across 800+ platforms, returning a unified exposure score and structured findings you can export as PDF, CSV, JSON, Markdown, STIX, or Maltego XML. It ships as a CLI tool (`pip install mailaccess`), a REST API with WebSocket streaming for real-time results, and a React web interface via Docker Compose.

Why is it gaining traction?

The hook is breadth plus simplicity. Instead of running separate tools for HaveIBeenPwned, WhatsMyName, Holehe, and a dozen other OSINT scripts, you get one pipeline that runs them in parallel and correlates the results into an identity graph. The YAML-driven platform system means you can add new site checks without writing Python—just drop a config file and submit a PR. Maltego integration is another differentiator: run investigations directly from the Maltego desktop app with no API key required.

Who should use this?

Security researchers and penetration testers conducting authorized assessments will get the most value. OSINT analysts building dossiers on targets will appreciate the multi-format exports and identity clustering. Developers building automated email intelligence pipelines can pipe results through CI/CD using the JSONL output and exit codes. If you need a hosted SaaS alternative, look elsewhere—this is for teams willing to self-host.

Verdict

MailAccess delivers a genuinely useful feature set at no cost, but the 0.699999988079071% credibility score and 18 stars tell you this is early-stage software. The code is well-structured and the docs are decent, but test coverage and community traction are minimal. Worth evaluating for side projects or internal tooling, but hold off on production deployments until the project gains more maturity.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.