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2ac8cb406e
Switch the bundled IP-to-country database from DB-IP Country Lite to IPinfo Lite for greater lookup accuracy. The download URL, cached filename, and packaged module path all move from dbip/dbip-country-lite.mmdb to ipinfo/ipinfo_lite.mmdb. IPinfo Lite uses a different MMDB schema (flat country_code) that is incompatible with geoip2's Reader.country() helper, so get_ip_address_country() now uses maxminddb directly and handles both the IPinfo schema and the MaxMind/DBIP nested country.iso_code schema so users who drop in their own MMDB from any of these providers continue to work. Drop the geoip2 dependency (it was only used for the incompatible helper) and add maxminddb as a direct dependency — it was already installed transitively through geoip2. Callers that imported parsedmarc.resources.dbip directly need to switch to parsedmarc.resources.ipinfo. Old parsedmarc versions downloading from the dbip/ GitHub raw URL will 404 and fall back to their bundled copy — this is the documented behavior of load_ip_db(). Co-authored-by: Sean Whalen <seanthegeek@users.noreply.github.com> Co-authored-by: Claude Opus 4.7 (1M context) <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 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) |