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Tests cover: - _bucket_interval_by_day: all validation branches and distribution logic - _append_parsed_record: normalize=True/False paths - _parse_report_record: None source_ip, missing auth results, reason handling, identities/identifiers mapping, human_result, envelope_from fallback, alignment - _parse_smtp_tls_failure_details: required/optional fields, missing field errors - _parse_smtp_tls_report_policy: valid/invalid types, policy_strings, failure details - parse_smtp_tls_report_json: valid/bytes/missing fields/non-list policies - Aggregate report: invalid np/testing/discovery_method, pass disposition, multiple records, XML recovery, schema versions, generator, errors, defaults, normalization, MAGIC_XML_TAG detection - utils: timestamp conversions, IP geo lookup, reverse DNS service lookup, IP address info with cache, email address parsing, filename safe strings, mbox/outlook msg detection - Output modules: WebhookClient, KafkaClient static methods, HECClient, SyslogClient, LogAnalyticsConfig/Client, backward-compatible aliases Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.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 is a project is maintained by one developer. Please consider sponsoring my work if you or your organization benefit from it.
Features
- Parses draft and 1.0 standard aggregate/rua DMARC reports
- Parses forensic/failure/ruf DMARC reports
- Parses reports from SMTP TLS Reporting
- 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, and/or Splunk, for use with premade dashboards
- Optionally send reports to Apache Kafka
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) |