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Continued the MMDB ASN-domain coverage walk into the 18k–14k IPv4-weight band. Added 941 new map entries and 59 new known-unknown entries from the top 1,000 unmapped candidates. ASN-domain coverage by IPv4 weight: 96.0% → 96.5%. ASN-domain coverage by domain count: 9.5% → 11.0%. Composition: ~50 universities and government / state agencies (HMRC, SSA, DHS, DOJ, BART, Pittsburgh, Charlotte, NY courts, Bank of Canada, MTA, gov.si, gov.ru, KAUST, Sharif University, Karolinska Institutet, IIT, KTH, etc.), ~70 globally-known brands (Nvidia, AMD, BMW, Mastercard, Nasdaq, NetApp, Allianz, Honeywell, JPMorgan, Goldman Sachs, Mitel, Arista, Take-Two, Universal Music, Disney Go, Fox, Nike, Cigna, Aetna, Humana, AbbVie, Mitsubishi Electric, Saint-Gobain, Reliance Industries, Hyundai Autoever, Square Enix, NEXON, Riot Games, Mahidol University, Hong Kong HSBC, Standard Chartered, etc.), and the long tail of regional ISPs / hosters / MSPs / data center operators classified via MMDB as_name + homepage corroboration. 59 added to known-unknown where the two-corroborating-sources bar 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%
