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a3d8651b74ee91190dbbebd37a401ef834bebc75
get_reverse_dns() swallows every DNSException as None, so a transient PTR lookup failure (timeout, SERVFAIL, socket error) is indistinguishable from a genuine no-PTR case. When that lands on the raw-as_name fallback branch (no map match for the ASN domain either), the weak result was getting cached in the 4-hour IP-info cache — locking in the misattribution even after the PTR became resolvable. Observed in the wild: 91.244.70.212 has PTR customer.evolus-ix.com (which the map correctly classifies as Evolus IX, ISP), but the user's dataset showed it with source_name = raw as_name and source_type = null — the signature of a transient PTR lookup failure that then got cached. Fix: skip the cache write when the row is in that specific weak-fallback state (reverse_dns=None AND type=None AND name=as_name). PTR-backed matches and ASN-domain matches are stable attributions and continue to be cached as before. 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
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