Skip to main content

A Python package and CLI for parsing aggregate and forensic DMARC reports

Project description

parsedmarc

Build Status Code Coverage PyPI Package

A screenshot of DMARC summary charts in Kibana

parsedmarc is a Python module and CLI utility for parsing DMARC reports. When used with Elasticsearch and Kibana (or Splunk), it works as a self-hosted open source alternative to commercial DMARC report processing services such as Agari Brand Protection, Dmarcian, OnDMARC, ProofPoint Email Fraud Defense, and Valimail.

Help Wanted

This is a project is maintained by one developer. Please consider reviewing the open issues to see how you can contribute code, documentation, or user support. Assistance on the pinned issues would be particularly helpful.

Thanks to all contributors!

Features

  • Parses draft and 1.0 standard aggregate/rua reports
  • Parses forensic/failure/ruf reports
  • Can parse reports from an inbox over IMAP, Microsoft Graph, or Gmail API
  • 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 and/or Splunk, for use with premade dashboards
  • Optionally send reports to Apache Kafka

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

parsedmarc-8.6.1.tar.gz (3.5 MB view details)

Uploaded Source

Built Distribution

parsedmarc-8.6.1-py2.py3-none-any.whl (3.5 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file parsedmarc-8.6.1.tar.gz.

File metadata

  • Download URL: parsedmarc-8.6.1.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.24.0

File hashes

Hashes for parsedmarc-8.6.1.tar.gz
Algorithm Hash digest
SHA256 9672215e406876f2d655eaa2c05727538339df3c160e6b45cfef534e1418eb72
MD5 7aaf7be7ee2dda4926649e6735dfe361
BLAKE2b-256 7fcbe98829f451cd470a5801d1207d59771e69ee56dcb10b0761f410777cc8c1

See more details on using hashes here.

File details

Details for the file parsedmarc-8.6.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for parsedmarc-8.6.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 478839d27f8a2edd96241a51138062d9b05715d2f482e9b0fbdc93ff1ca3bec0
MD5 c9eceb74e274590fcf73361f32631326
BLAKE2b-256 ae46c17e14f8235dfb30a331f588612a692880b372422141ea7173a68795a7fa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page