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Sean WhalenandClaude Fable 5
9be85409d0
SMTP TLS reports have the same cross-product defect as the DKIM/SPF alignment tables (issue #169), one level deeper: policies is an object array and each policy's failure_details is an object array inside it, so stacked terms aggregations on their subfields fabricate rows. Documents now also carry policies_combined ("domain / type" per policy) and failure_details_combined ("domain / type / result / sending mta / receiving ip / mx" per failure detail), composed at save time with the same "none" fallbacks as the aggregate fields. migrate_indexes() gains smtp_tls_indexes and backfills old documents with the same guarded, non-blocking update_by_query pattern; cli.py wires the index name in on both backends, and the manual _update_by_query command is documented. Also fixes two adjacent dead fields: add_failure_details stored additional_information_uri under the wrong constructor kwarg (additional_information), and receiving_mx_hostname had no declaration despite always being stored. Verified live on ES 8.19 and OpenSearch 3: a two-policy repro report yields exactly 2 policy rows and 2 failure-detail rows via the combined fields where the old stacked aggregations return 4 of each; the startup backfill converted the 4 pre-existing sample documents on both engines with zero recompute mismatches. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
parsedmarc
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.
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) |