Sean Whalen fa03b8f2c2 Classify reverse DNS map: next 10000 unmapped MMDB ASN domains (#761)
Batch 12. Auto-rate dropped to 23% (2330/9998) — significantly lower than
batch 11. The deeper into the long tail, the more candidates fall into
non-classifier-recognized industries (retail, manufacturing, hospitality,
local services) where the ISP/Web Host/MSP regex doesn't fire even though
the page is fetchable.

- 2,330 added to base_reverse_dns_map.csv (ISP 991, Education 295, Finance
  290, Government 265, Web Host 229, Healthcare 134, MSP 126).
- 7,667 added to known_unknown_base_reverse_dns.txt.

ASN-domain coverage of the bundled IPinfo Lite MMDB after this batch:
  - by domain count:  27,824 / 63,993  (43.48%, up from 40.27%)
  - by IPv4 weight:   98.36%

Same classifier as prior batches (no new code).

Co-authored-by: Sean Whalen <seanthegeek@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 15:54:25 -04:00
2026-05-03 12:36:06 -04:00
2026-04-19 21:20:41 -04:00
2025-12-12 15:56:52 -05:00
2026-03-09 18:16:47 -04:00
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2018-02-05 20:23:07 -05:00
2022-10-04 18:45:57 -04:00
2026-03-09 18:24:16 -04:00

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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