Phish_Mail

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Phish Mail - “Expose email threats in seconds no guesswork, just evidence”

// repository documentation

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<img src="https://github.com/MrEchoFi/MrEchoFi/raw/4274f537dec313ac7dde4403fe0fae24259beade/Mr.EchoFi-New-Logo-with-ASCII.jpg" alt="logo" width="245" height="auto" />
  <h1>Phish_Mail</h1>
   
  <p>
   A command-line tool that analyzes suspected emails using OSINT techniques to detect phishing. 
   It parses headers, domains, DKIM signatures, Received chains, URLs, and attachments, then scores the threat level with a clear verdict. 
    Supports .eml, raw text, and JSON output for automation pipelines.
  </p>
</div>

# Installation Part:

git clone https://github.com/MrEchoFi/Phish_Mail.git
      cd Phish_Mail
      python3 mail.py -h

# Video:
[Screencast From 2025-11-12 05-01-32.webm](https://github.com/user-attachments/assets/86ffc91e-ddd1-4290-8f06-0eae28a3a2c8)

# Photo:
<img width="1920" height="1200" alt="Screenshot from 2025-11-12 06-06-52" src="https://github.com/user-attachments/assets/8c20cb52-e30f-4b07-bf75-55fa0bad92ff" />

# Usage:

<p> mail.py [-h] (--eml EML | --text TEXT | --stdin) [--json]

Pish_Mail: CLI Based Phishing Mail Detector

options:

-h, --help   show this help message and exit
    --eml EML    Path to .eml email file
    --text TEXT  Path to a text file containing raw email content
    --stdin      Read raw email from stdin
    --json       Output JSON for pipelines
</p>

# Example usage:
  - Analyze a .eml file:

python mail.py --eml <downloaded eml file>

- Analyze raw email text (paste):

python mail.py --stdin

- Analyze a text file containing email body:

python mail.py --text body.txt

- JSON output for pipelines:
    
         python mail.py --eml suspicious.eml --json

Phish_Mail

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