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Sean WhalenandClaude Fable 5.2
771c6df0bd
- Accept a URI whose host has an empty port (postgresql://db:/d? sslrootcert=/a@b): libpq parses it as no port, but _port_is_numeric() treated it as non-numeric and the early refusal rejected the string. - Close the connection when setting autocommit or registering the NUL-safe dumpers fails after psycopg.connect() succeeded, including on KeyboardInterrupt; an error from close() is dropped. - With a connection string, report a create_tables() failure with a fixed message (plus a well-formed SQLSTATE), since the server's text can quote a session setting from the string's options; with the separate settings keep the server's text, URL credentials masked. Both raise from None. The CLI now closes a PostgreSQL client whose create_tables() raised, as it is not yet in the clients to roll back. - Declare the Elasticsearch and OpenSearch aggregate documents' message_count and original_timespan_seconds as Long() instead of the bare Integer class, matching the long type dynamic mapping has always given them (the document classes' mappings are never installed). Correct the MAX_MESSAGE_COUNT comment, the _smtp_tls_count docstring and the GHSA-fxr7 changelog entry, which described an integer Elasticsearch/OpenSearch mapping of the counts that is not installed. Co-authored-by: Claude Fable 5.2 <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, Grafana Loki, 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 | ❌ | End of Life (EOL) |
| 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) |
| 3.15 | ✅ | Supported |