fb3c38a8b8
- Fixed `FileNotFoundError` when using Maildir with Docker volume mounts. Python's `mailbox.Maildir(create=True)` only creates `cur/new/tmp` subdirectories when the top-level directory doesn't exist; Docker volume mounts pre-create the directory as empty, skipping subdirectory creation. parsedmarc now explicitly creates the subdirectories when `maildir_create` is enabled. - Maildir UID mismatch no longer crashes the process. In Docker containers where volume ownership differs from the container UID, parsedmarc now logs a warning instead of raising an exception. Also handles `os.setuid` failures gracefully in containers without `CAP_SETUID`. - Token file writes (MS Graph and Gmail) now create parent directories automatically, preventing `FileNotFoundError` when the token path points to a directory that doesn't yet exist. - File paths from config (`token_file`, `credentials_file`, `cert_path`, `log_file`, `output`, `ip_db_path`, `maildir_path`, syslog cert paths, etc.) now expand `~` and `$VAR` references via `os.path.expanduser`/`os.path
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.
Help Wanted
This project is maintained by one developer. Please consider reviewing the open issues to see how you can contribute code, documentation, or user support. Assistance on the pinned issues would be particularly helpful.
Thanks to all contributors!
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) |