A Python module and CLI for parsing DMARC reports
Project description
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
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 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. This draft schema is still in wide use.
parsedmarc produces consistent, normalized output, regardless of the report schema.
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
Installation
parsedmarc works with Python 2 or 3, but Python 3 is preferred.
On Debian or Ubuntu systems, run:
$ sudo apt-get install python3-pipPython 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
$ sudo -H pip3 install -U parsedmarcOr, install the latest development release directly from GitHub:
$ sudo -H pip3 install -U git+https://github.com/domainaware/parsedmarc.gitOptional 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:
$ sudo apt-get install libemail-outlook-message-perlDocumentation
Bug reports
Please report bugs on the GitHub issue tracker
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