Sean WhalenandClaude Fable 5.1 16a9016e2a Neutralize CSV formulas and escape control characters in logged strings (#931)
* Neutralize CSV formulas and escape control characters in logged strings

CSV fields starting with =, +, -, @, tab, or CR get a leading apostrophe
(OWASP CSV Injection, CWE-1236). Sender-controlled subject/From and a few
aggregate-parser values are passed through the new sanitize_for_log()
before they reach error messages and logs.

Closes #929

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Sanitize more sender-controlled log values; fix sanitize_for_log docs

Escape the SMTP TLS policy-type in its error and org_name/report_id in the
duplicate-report debug lines, correct the sanitize_for_log docstring, and
drop the unreachable return in parse_report_email().

Closes #929

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

* Test the From-header escaping with a raw control character

mail-parser 4.8.0, which CI resolves, no longer decodes an RFC 2047
encoded word in the From header (4.6.2 did), so the previous test saw the
encoded word rather than the CR LF it was meant to observe. A raw ESC in
the display name survives both versions.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-10-26 21:34:23 -04:00
2018-02-05 20:23:07 -05:00
2026-03-09 18:24:16 -04:00

parsedmarc

Build
Status Code
Coverage PyPI
Package PyPI - Downloads

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
Description
No description provided
Readme Apache-2.0
423 MiB
0 Stars 1 Watchers 0 Forks
Languages
Python 98.7%
Shell 1.2%