2f89507e5d Fix aggregate report deduplication across policy domains (#934)
* Fix aggregate report deduplication across policy domains

Scope aggregate-report identity to the reporting organization, Report-ID,
and policy domain, matching RFC 9990 section 3.5.1. Encode the fields as
a JSON array and compare ASCII domain letters without changing returned
report data. Preserve accepted empty-domain reports and save-confirmed
cache semantics.

Add real MIME/mbox and dry-run Maildir regressions for distinct domains,
same-domain repeats, shared configurations, boundary collisions, parallel
parsing, and false/raising save callbacks.

The implementation and tests were prepared with AI assistance, including
a separate review of the scoped changes and test evidence.

* Share the domain-scoped dedup key with the CLI direct-file path

Responds to Copilot review on #934: the CLI's direct-file path still
wrote `{org_name}_{report_id}` keys into the same seen-aggregate-report
cache that the mbox/mailbox classifier now reads with a JSON
[org, report_id, policy_domain] key, so a report passed both as a file
and inside an mbox in one run was saved twice, and direct files from one
reporter sharing a Report-ID for different domains (RFC 9990 §3.5.1)
were still collapsed.

Extract the key into `_aggregate_report_dedup_key()` and use it from
both paths; the direct-file path now writes through
`parser_config.seen_aggregate_report_ids` like the mbox path. Adds
end-to-end `_main()` regression tests for mixed file+mbox input and for
domain-scoped direct-file dedup.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Sean Whalen <44679+seanthegeek@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 22:46:52 -04:00
2026-10-30 20:50:01 -04:00
2018-02-05 20:23:07 -05:00
2026-03-09 18:24:16 -04:00

parsedmarc

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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), 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 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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