domainaware/parsedmarc

Profil domainaware

Dernière activité source enregistrée: 12 juillet 2026 à 13:33

Catalogue SkillsMP mis à jour: 17 octobre 2026 à 00:09

skills collectés: 1

Étoiles GitHub: 1 307
Forks GitHub: 271

README du dépôt

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# parsedmarc [![Build Status](https://github.com/domainaware/parsedmarc/actions/workflows/python-tests.yml/badge.svg)](https://github.com/domainaware/parsedmarc/actions/workflows/python-tests.yml) [![Code Coverage](https://codecov.io/gh/domainaware/parsedmarc/branch/master/graph/badge.svg)](https://codecov.io/gh/domainaware/parsedmarc) [![PyPI Package](https://img.shields.io/pypi/v/parsedmarc.svg)](https://pypi.org/project/parsedmarc/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/parsedmarc?color=blue)](https://pypistats.org/packages/parsedmarc) <p align="center"> <img src="https://raw.githubusercontent.com/domainaware/parsedmarc/refs/heads/master/docs/source/_static/screenshots/dmarc-summary-charts.png?raw=true" alt="A screenshot of DMARC summary charts in Kibana"/> </p> `parsedmarc` is a Python module and CLI utility for parsing DMARC reports. When used with Elasticsearch and Kibana (or Splunk), or with OpenSearch and Grafana, 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. > [!NOTE] > __Domain-based Message Authentication, Reporting, and Conformance__ (DMARC) is an email authentication protocol. ## Sponsors This project is maintained by one developer. Please consider [sponsoring my work](https://github.com/sponsors/seanthegeek) if you or your organization benefit from it. ## Features - Parses aggregate/rua DMARC reports: the legacy draft and 1.0 schemas (RFC 7489) and the new RFC 9990 schema for the final DMARC standard (RFC 9989) - Parses failure/ruf DMARC reports (RFC 6591 and RFC 9991; formerly called forensic reports) - Parses reports from SMTP TLS Reporting (TLS-RPT, RFC 8460) - 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, OpenSearch, Splunk, or PostgreSQL, for use with premade dashboards - Optionally send the results to Apache Kafka, Amazon S3, Azure Log Analytics (Microsoft Sentinel), a Graylog (GELF) endpoint, a syslog server, or an HTTP webhook ## Python Compatibility This project supports the following Python versions, which are either actively maintained or are the default versions for RHEL or Debian. | Version | Supported | Reason | | --- | --- | --- | | < 3.6 | ❌ | End of Life (EOL) | | 3.6 | ❌ | Used in RHEL 8, but not supported by project dependencies | | 3.7 | ❌ | End of Life (EOL) | | 3.8 | ❌ | End of Life (EOL) | | 3.9 | ❌ | Used in Debian 11 and RHEL 9, but not supported by project dependencies | | 3.10 | ✅ | Actively maintained | | 3.11 | ✅ | Actively maintained; supported until June 2028 (Debian 12) | | 3.12 | ✅ | Actively maintained; supported until May 2035 (RHEL 10) | | 3.13 | ✅ | Actively maintained; supported until June 2030 (Debian 13) | | 3.14 | ✅ | Supported (requires `imapclient>=3.1.0`) |

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Skills dans ce dépôt

Développeurs de logiciels

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skill

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description

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verify

Développeurs de logiciels

Launch and drive parsedmarc's CLI to verify parser/output changes end-to-end against the bundled sample reports.

Langue du texte source : anglais

2026-07-12

Affichage de 1 skills collectés sur 1.

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