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05adb9c8318586b1b537de6310caaf4ee47ec306
Walked the bundled IPinfo Lite MMDB for ASN domains absent from base_reverse_dns_map.csv, processed the top ~1,950 by IPv4 weight across five batches (collect_domain_info.py + tier-based classification per AGENTS.md), and added 1,664 new map entries. ASN-domain coverage by IPv4 weight: ~92.9% → 95.3%. ASN-domain coverage by domain count: 5.4% → 8.0%. Composition: ~250 universities/government (Tier 0 — restricted TLD + MMDB as_name), ~80 globally-known brands (Saudi Telecom, JAXA, RailTel, LY Corporation, Tesla, Intel, Citi, Schwab, Disney, EA, Volvo, Mitsubishi Electric, Cargill, Hallmark, Medtronic, Banco do Brasil, Petrobras, etc.), direct aliases for already-mapped brands (HKBN, Tata Teleservices, Cox, NTT, T-Mobile, etc.), and the long tail of regional ISPs / hosters / DC operators classified via MMDB as_name + homepage corroboration. 66 entries promoted out of known_unknown_base_reverse_dns.txt where the new collector data cleared the two-corroborating-sources bar; 55 added where the bar still wasn't met. Files remain disjoint per the workflow guardrail. sortlists.py validates clean (types, sort, dedupe). CRLF preserved. 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) |
Description
Languages
Python
98.2%
Shell
1.7%
