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Multilingual detectors previously held English at full breadth (e.g. Healthcare = hospital + clinic + pharmacy + healthcare + pharmaceutical industry + nursing home + medical center) while many non-English sections covered the same concept set with only one or two transliterated words. This left every language other than English under-detecting against pages that used the operator's natural compound terms. Reworked every detector so each language now expresses the same English concept set in idiomatic compounds — never inventing calques where no natural form exists. Added ~32 new languages (Macedonian, Belarusian, Azerbaijani, Armenian, Georgian, Kazakh, Uzbek, Mongolian, Khmer, Burmese, Lao, Nepali, Sinhala, Amharic, Yoruba, Hausa, Igbo, Zulu, Pashto, Kurdish, Tajik, Kyrgyz, Maltese, Luxembourgish, Haitian Creole, Frisian, Yiddish, Faroese, Tatar, Javanese, Sundanese, Cebuano) on top of the existing pool, again applied per-concept rather than as token presence. Also added British / American spelling pairs where they diverge (`tire`/`tyre`, `defense`/`defence`, `center`/`centre`, etc.) and a handful of new English concepts that had been implicit (`tire shop`, `car parts`, `oil exploration`, `olympic committee`, ...) — each with its multilingual equivalents in the same edit. AGENTS.md: codified the rule under "Maintaining the reverse DNS maps" so future edits are bound by it: every language section must cover the same concept set the English section covers, with idiomatic compounds rather than calques, skip rather than invent when no natural form exists, and any new English keyword must be added in parallel across the existing language set. Final shape: 11,777 alternations / 175,556 chars across 45 detectors. Ruff check + format clean. Module compiles. Known limitation (pre-existing, unchanged): Python's `re` does not treat Unicode Mn / Mc combining marks as word characters, so Brahmic-script words ending in vowel signs / virama won't match the outer `\b…\b`. Affects pre-existing and new entries equally; fixable later by switching to the `regex` module. 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%
