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A Python module for parsing DMARC reports

Project description

==========
parsedmarc
==========

|Build Status|

.. image:: https://raw.githubusercontent.com/domainaware/parsedmarc/master/docs/_static/screenshots/dmarc-summary-charts.png
:alt: A screenshot of DMARC summary charts in Kibana
:align: center
:scale: 50
:target: https://raw.githubusercontent.com/domainaware/parsedmarc/master/docs/_static/screenshots/dmarc-summary-charts.png

``pasedmarc`` is a Python module and CLI utility for parsing DMARC reports.

Features
========

* Parses draft and 1.0 standard aggregate reports
* Parses forensic reports
* Can parse reports from an inbox over IMAP
* Transparently handles gzip or zip compressed reports
* Consistent data structures
* Simple JSON and/or CSV output
* Optionally email the results
* Optionally send the results to Elasticsearch, for use with premade Kibana dashboards

CLI help
========

::

usage: parsedmarc [-h] [-o OUTPUT] [-n NAMESERVERS [NAMESERVERS ...]]
[-t TIMEOUT] [-H HOST] [-u USER] [-p PASSWORD]
[-r REPORTS_FOLDER] [-a ARCHIVE_FOLDER] [-d]
[-E [ELASTICSEARCH_HOST [ELASTICSEARCH_HOST ...]]]
[--save-aggregate] [--save-forensic] [-O OUTGOING_HOST]
[-U OUTGOING_USER] [-P OUTGOING_PASSWORD] [-F OUTGOING_FROM]
[-T OUTGOING_TO [OUTGOING_TO ...]] [-S OUTGOING_SUBJECT]
[-A OUTGOING_ATTACHMENT] [-M OUTGOING_MESSAGE] [-i] [--test]
[-v]
[file_path [file_path ...]]

Parses DMARC reports

positional arguments:
file_path one or more paths to aggregate or forensic report
files or emails

optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Write output files to the given directory
-n NAMESERVERS [NAMESERVERS ...], --nameservers NAMESERVERS [NAMESERVERS ...]
nameservers to query (Default 8.8.8.8 4.4.4.4)
-t TIMEOUT, --timeout TIMEOUT
number of seconds to wait for an answer from DNS
(default 6.0)
-H HOST, --host HOST IMAP hostname or IP address
-u USER, --user USER IMAP user
-p PASSWORD, --password PASSWORD
IMAP password
-r REPORTS_FOLDER, --reports-folder REPORTS_FOLDER
The IMAP folder containing the reports Default: INBOX
-a ARCHIVE_FOLDER, --archive-folder ARCHIVE_FOLDER
Specifies the IMAP folder to move messages to after
processing them Default: Archive
-d, --delete Delete the reports after processing them
-E [ELASTICSEARCH_HOST [ELASTICSEARCH_HOST ...]], --elasticsearch-host [ELASTICSEARCH_HOST [ELASTICSEARCH_HOST ...]]
A list of one or more Elasticsearch hostnames or URLs
to use (Default localhost:9200)
--save-aggregate Save aggregate reports to Elasticsearch
--save-forensic Save forensic reports to Elasticsearch
-O OUTGOING_HOST, --outgoing-host OUTGOING_HOST
Email the results using this host
-U OUTGOING_USER, --outgoing-user OUTGOING_USER
Email the results using this user
-P OUTGOING_PASSWORD, --outgoing-password OUTGOING_PASSWORD
Email the results using this password
-F OUTGOING_FROM, --outgoing-from OUTGOING_FROM
Email the results using this from address
-T OUTGOING_TO [OUTGOING_TO ...], --outgoing-to OUTGOING_TO [OUTGOING_TO ...]
Email the results to these addresses
-S OUTGOING_SUBJECT, --outgoing-subject OUTGOING_SUBJECT
Email the results using this subject
-A OUTGOING_ATTACHMENT, --outgoing-attachment OUTGOING_ATTACHMENT
Email the results using this filename
-M OUTGOING_MESSAGE, --outgoing-message OUTGOING_MESSAGE
Email the results using this message
-i, --idle Use an IMAP IDLE connection to process reports as they
arrive in the inbox
--test Do not move or delete IMAP messages
-v, --version show program's version number and exit

SPF and DMARC record validation
===============================

If you are looking for SPF and DMARC record validation and parsing,
check out the sister project, `checkdmarc <https://domainaware.github.io/checkdmarc/>`_.

Sample aggregate report output
==============================

Here are the results from parsing the `example <https://dmarc.org/wiki/FAQ#I_need_to_implement_aggregate_reports.2C_what_do_they_look_like.3F>`_
report from the dmarc.org wiki. It's actually an older draft of the the 1.0
report schema standardized in
`RFC 7480 Appendix C <https://tools.ietf.org/html/rfc7489#appendix-C>`_.
This draft schema is still in wide use.

``parsedmarc`` produces consistent, normalized output, regardless of the report
schema.

JSON
----

.. code-block:: json

{
"xml_schema": "draft",
"report_metadata": {
"org_name": "acme.com",
"org_email": "noreply-dmarc-support@acme.com",
"org_extra_contact_info": "http://acme.com/dmarc/support",
"report_id": "9391651994964116463",
"begin_date": "2012-04-27 20:00:00",
"end_date": "2012-04-28 19:59:59",
"errors": []
},
"policy_published": {
"domain": "example.com",
"adkim": "r",
"aspf": "r",
"p": "none",
"sp": "none",
"pct": "100",
"fo": "0"
},
"records": [
{
"source": {
"ip_address": "72.150.241.94",
"country": "US",
"reverse_dns": "adsl-72-150-241-94.shv.bellsouth.net",
"base_domain": "bellsouth.net"
},
"count": 2,
"policy_evaluated": {
"disposition": "none",
"dkim": "fail",
"spf": "pass",
"policy_override_reasons": []
},
"identifiers": {
"header_from": "example.com",
"envelope_from": "example.com",
"envelope_to": null
},
"auth_results": {
"dkim": [
{
"domain": "example.com",
"selector": "none",
"result": "fail"
}
],
"spf": [
{
"domain": "example.com",
"scope": "mfrom",
"result": "pass"
}
]
}
}
]
}

CSV
---

::

xml_schema,org_name,org_email,org_extra_contact_info,report_id,begin_date,end_date,errors,domain,adkim,aspf,p,sp,pct,fo,source_ip_address,source_country,source_reverse_dns,source_base_domain,count,disposition,dkim_alignment,spf_alignment,policy_override_reasons,policy_override_comments,envelope_from,header_from,envelope_to,dkim_domains,dkim_selectors,dkim_results,spf_domains,spf_scopes,spf_results
draft,acme.com,noreply-dmarc-support@acme.com,http://acme.com/dmarc/support,9391651994964116463,2012-04-27 20:00:00,2012-04-28 19:59:59,,example.com,r,r,none,none,100,0,72.150.241.94,US,adsl-72-150-241-94.shv.bellsouth.net,bellsouth.net,2,none,fail,pass,,,example.com,example.com,,example.com,none,fail,example.com,mfrom,pass


Sample forensic report output
=============================

I don't have a sample I can share for privacy reasons. If you have a sample
forensic report that you can share publicly, please contact me!

Bug reports
===========

Please report bugs on the GitHub issue tracker

https://github.com/domainaware/parsedmarc/issues

Installation
============

``parsedmarc`` works with Python 2 or 3, but Python 3 is preferred.

On Debian or Ubuntu systems, run:

.. code-block:: bash

$ sudo apt-get install python3-pip


Python 3 installers for Windows and macOS can be found at
https://www.python.org/downloads/

To install or upgrade to the latest stable release of ``parsedmarc`` on
macOS or Linux, run

.. code-block:: bash

$ sudo -H pip3 install -U parsedmarc

Or, install the latest development release directly from GitHub:

.. code-block:: bash

$ sudo -H pip3 install -U git+https://github.com/domainaware/parsedmarc.git

.. note::

On Windows, ``pip3`` is ``pip``, even with Python 3. So on Windows, simply
substitute ``pip`` as an administrator in place of ``sudo pip3``, in the
above commands.

Optional dependencies
---------------------

If you would like to be able to parse emails saved from Microsoft Outlook
(i.e. OLE .msg files), install ``msgconvert``:

On Debian or Ubuntu systems, run:

.. code-block:: bash

$ sudo apt-get install libemail-outlook-message-perl



Documentation
=============

https://domainaware.github.io/parsedmarc

Bug reports
===========

Please report bugs on the GitHub issue tracker

https://github.com/domainaware/parsedmarc/issues

.. |Build Status| image:: https://travis-ci.org/domainaware/parsedmarc.svg?branch=master
:target: https://travis-ci.org/domainaware/parsedmarc


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