Sean Whalen 05adb9c831 Classify reverse DNS map: top ~1,950 unmapped MMDB ASN domains (#746)
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>
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parsedmarc

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A screenshot of DMARC summary charts in Kibana

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)
S
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