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Get help with MailMapr

Getting Started

Create a Project — Open MailMapr and create a new project to organize your investigation.
Import Evidence — Drag and drop EML, MSG, or MBOX files into the Ingest module.
Analyze — Use the Dashboard, Timeline, and Correlation modules to investigate email patterns.
Classify Contacts — Use the Trusted module to mark emails and domains as whitelisted, suspicious, or blacklisted.
Generate Reports — Create Technical Forensic or Executive Summary reports from the Reports module.

Frequently Asked Questions

What file formats does MailMapr support?

MailMapr supports .eml, .emlx, .msg (Outlook), and .mbox (mailbox archive) files.

Where is my data stored?

All data is stored locally on your Mac in the Application Support directory, protected by the macOS App Sandbox. No data is sent to external servers.

Can I analyze emails from different email clients?

Yes. MailMapr works with standard email formats exported from any email client including Outlook, Thunderbird, Apple Mail, Gmail (via Google Takeout), and others.

What are Trust Lists?

Trust Lists allow you to classify email addresses, domains, and IPs into three categories: Whitelist (trusted, shown in green), Suspicious (shown in orange), and Blacklist (confirmed threat, shown in red). Lists can be applied globally or per project.

What are Indicators of Compromise (IoC)?

IoCs are forensic artifacts that indicate a potential security breach: malicious email addresses, suspicious domains, or flagged IP addresses found during analysis.

How do I export reports?

Go to the Reports module, select the report type (Technical Forensic or Executive Summary), choose your emails, and click Generate Report. Reports can be exported as HTML or PDF.

What macOS version is required?

MailMapr requires macOS 14.0 (Sonoma) or later.

Is MailMapr available in other languages?

Yes. MailMapr supports English and Spanish. You can change the language in Settings.

System Requirements

macOS 14.0 (Sonoma) or later
Apple Silicon or Intel Mac
Minimum 4 GB RAM recommended
Storage space varies by evidence volume

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