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==========
parsedmarc
==========
|Build Status|
``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
* Python 2 and 3 support
CLI help
========
::
usage: parsedmarc [-h] [-o OUTPUT] [-n NAMESERVERS [NAMESERVERS ...]]
[-t TIMEOUT] [-H HOST] [-U USERNAME] [-p PASSWORD]
[-a ARCHIVE_FOLDER] [-d] [-i] [-T] [-v]
[file_path [file_path ...]]
Parses DMARC reports
positional arguments:
file_path one or more paths of aggregate report files
(compressed or uncompressed)
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
-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 USERNAME, --username USERNAME
IMAP username
-p PASSWORD, --password PASSWORD
IMAP password
-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
-i, --idle Use an IMAP IDLE connection to process reports as they
arrive in the inbox
-T, --test Do not move or delete IMAP messages
-v, --version show program's version number and exit
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 checkdmarc
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
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