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Sean WhalenandClaude Fable 5
07b00a931b
Fixes the two remaining bugs and the nits uncovered during the review session: - The CLI logs a warning for each file_path argument that matches no files, instead of silently succeeding with empty results — a typo'd path in a cron job previously 'worked' forever while processing nothing (_expand_file_path_args dropped it as a zero-match glob). Deliberately a warning, not an error: a glob legitimately matching nothing must not break existing workflows, and mailbox-only runs stay silent. - save_failure_reports_to_kafka and save_smtp_tls_reports_to_kafka now send one message per report, mirroring the aggregate saver's per-slice sends. Every released version documented per-record sends, but the code sent the whole list as one message, which a large batch — failure reports carry message samples — could push past Kafka's default 1MB message limit. Consumer-visible: these topics now carry individual report objects, not one JSON array per batch. - The CLI module docstring and argparse description now mention SMTP TLS reports; usage.md's CLI-help mirror regenerated. - The elastic/opensearch to_header display-name tests now assert the joined 'RT <rcpt@example.com>' string reaches the saved document (autospec save), plus the exactly-once call, instead of only that save ran. 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), 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) |