Sean WhalenandClaude Opus 5.5 7d4661c2af Merge commit from fork
save_report_to_s3() put the sender-controlled report ID into the object
key and org_name/org_email/report_id into user-defined metadata verbatim.
botocore rejects non-ASCII metadata client-side (ParamValidationError) and
a bare CR/LF with "Invalid header value", which the CLI counts as an S3
output error, so one report held back its whole mailbox batch. "/" and
".." in the report ID added key segments, and keys had no sender identity.

- Percent-encode the report ID into one key segment ("/", the AWS
  "characters to avoid", "%", control and non-ASCII characters) and
  shorten it so the key stays within S3's 1,024-byte limit.
- Percent-encode metadata values (reversible with unquote) and cap each at
  256 characters, under S3's 2 KB metadata limit.
- Append the first 16 hex characters of a SHA-256 over the report type and
  its identifying, report-sourced fields (never enrichment), so reporters
  that reuse one report ID no longer overwrite their own reports and a
  retry still overwrites the same object.
- Fix failure reports, which raised KeyError on report_metadata (absent
  from FailureReport in types.py) since S3 output was added in 7.0.0.

Sources: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-keys.html,
https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingMetadata.html,
botocore handlers.validate_ascii_metadata.

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 20:50:01 -04:00
2026-10-30 20:50:01 -04:00
2026-10-30 20:50:01 -04:00
2026-10-30 20:50:01 -04:00
2026-10-30 20:50:01 -04:00
2018-02-05 20:23:07 -05:00
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), or with OpenSearch and Grafana, 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 project is maintained by one developer. Please consider sponsoring my work if you or your organization benefit from it.

Features

  • Parses aggregate/rua DMARC reports: the legacy draft and 1.0 schemas (RFC 7489) and the new RFC 9990 schema for the final DMARC standard (RFC 9989)
  • Parses failure/ruf DMARC reports (RFC 6591 and RFC 9991; formerly called forensic reports)
  • Parses reports from SMTP TLS Reporting (TLS-RPT, RFC 8460)
  • 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, Splunk, or PostgreSQL, for use with premade dashboards
  • Optionally send the results to Apache Kafka, Amazon S3, Azure Log Analytics (Microsoft Sentinel), a Graylog (GELF) endpoint, a syslog server, or an HTTP webhook

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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