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9.10.3
* OSD: fix aggregate dashboard metrics to sum(message_count) 13 panels on the DMARC aggregate dashboard were aggregating with `count` (number of OSD docs) when they should have been summing `message_count`. Each parsedmarc OSD doc represents one (source_ip, auth_results) tuple from the XML and carries an integer message_count, so doc-counting reports "distinct sources" rather than "messages". Panels with titles like "Message volume by header from", "DMARC passage over time", etc. were producing misleading numbers. Affected panels: SPF/DKIM/Passed-DMARC pies; Reporting orgs; Sources by reverse DNS / header from / name+type / ASN / country / IP; Map; SPF and DKIM details. (DMARC failure email samples kept count — one OSD doc per RUF sample, so it's correct. SMTP TLS panels untouched — they sum the right session-count fields.) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Splunk: align dashboards with OSD and fix query bugs Aggregate dashboard: - Add "Message sources by Autonomous System" panel (source_asn / as_name / as_domain), formatted "AS<n>" at render with eval, matching the OSD addition. - DKIM details: add the missing dkim_aligned column. - SPF details: reorder columns to OSD order (spf_aligned at end). - Map / country titles renamed to match OSD ("Map of message sources by country", "Message sources by country"). - Map widget: stats count by Country -> stats sum(message_count) by Country, so the choropleth shades by message volume not record count. - fillnull "none"/"unknown" applied to source_reverse_dns, source_base_domain, source_country to mirror OSD's missing-bucket labels. - charting.fieldColors {true: green, false: red} on SPF/DKIM/Passed-DMARC pies and the DMARC-passage timechart. Forensic dashboard: - Restructure to match OSD's two-panel layout (markdown + samples table). - Drop the country map / IP table / country-ISO table panels (not in OSD). - Samples table columns aligned to OSD: arrival_date_utc, source.ip_address, from, subject, reply_to, authentication_results. - Tolerate null headers in the base_search filter (was: parsed_sample.headers.From=* required field to exist; LinkedIn RUF sample with null From was filtered out). SMTP TLS dashboard: - Reorder metrics to OSD order (successful before failed). - Domains panel: add policy_type bucket. - Failure details: replace search-time `failed_session_count>0` (which doesn't evaluate against multivalued JSON paths in Splunk) with `result_type=*` for presence + post-stats `where failed_sessions>0`. Drop _time/successful_sessions columns; reorder to match OSD. - Wire the existing policy_type input into all three searches. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Add dashboard-dev bootstrap script and VSCode task dashboard-dev-bootstrap.sh brings up docker-compose.dashboard-dev.yml, seeds parsedmarc sample data into ES + OS + Splunk via parsedmarc-dev.ini, and re-imports every dashboard into Kibana, OpenSearch Dashboards, Grafana, and Splunk. Idempotent: existence checks skip provisioning that's already done; only the dashboard imports re-run unconditionally on every invocation (that's the point of running it after a dashboard edit). Notable provisioning quirks the script handles: - Splunk's auto-created HEC token (from the SPLUNK_HEC_TOKEN env) ships with indexes=[] and index=default; rewrites it to allow the email index. - ES 8.x rejects wildcard DELETEs by default; RESEED=1 enumerates daily parsedmarc indexes via _cat/indices and deletes one at a time. - Splunk has no clean-in-place REST endpoint for live indexes; RESEED=1 deletes and recreates the email index (then re-applies the HEC token). - OSD security plugin tenants: imports target global_tenant explicitly via the securitytenant header so they're visible to the shared workspace rather than landing in the API user's private tenant. Override with OSD_TENANT=<name>. - Splunk ships an in-product announcement view (scheduled_export_dashboard) with sharing=global; the script narrows it to sharing=app so it stops showing up in every app's dashboards list. Adds a "Dev Dashboard: Bootstrap" task to .vscode/tasks.json that runs the script. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * CHANGELOG: 9.10.3 entry for the dashboard metric fix and alignment work Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Bump version to 9.10.3 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * CHANGELOG: warn against the "Create new objects with unique IDs" import mode OSD's import dialog has two modes: the default "Check for existing objects" (which honors saved-object IDs and overwrites in place when "Automatically overwrite conflicts" is on) and "Create new objects with unique IDs" (which imports under fresh UUIDs and leaves the buggy originals untouched). Picking the second one means the dashboards keep rendering the wrong numbers because the originals are never replaced. Spell that out so users don't fall into the trap. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * OSD: label the metric column "messages" instead of "Sum of message_count" OSD's table column header defaults to "Sum of message_count" when the metric agg has no customLabel. "messages" reads better and matches what the panels are actually counting. Applies to all 15 aggregate-DMARC visualizations that use sum(message_count). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * CHANGELOG: tighten the 9.10.3 entry — clearer and more actionable Trim the verbose technical exposition; lead each fix with the user-visible symptom. Move the action-required call out to its own header in upgrade notes so the re-import instructions don't get lost in a wall of text. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Move per-tool dashboard exports under a single dashboards/ directory Consolidates the four sibling top-level folders (kibana/, opensearch/, grafana/, splunk/) into dashboards/{kibana,opensearch,grafana,splunk}/. Updates the only path references in tracked files: bootstrap script (5 lines), CHANGELOG.md (1 line), and the kibana/export.ndjson raw URL in docs/source/elasticsearch.md. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * OSD: restore the "DKIM alignment" panel title on the aggregate dashboard The DKIM alignment panel had no title override in panelsJSON, so OSD fell back to the visualization's own name ("Aggregate DMARC DKIM alignment"). Every other pie/table on the same dashboard sets a clean title (SPF alignment, Passed DMARC, etc.) — this was a stray regression. Set the panel title to "DKIM alignment" to match. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Splunk: color the message-disposition timechart by severity Reject is red, quarantine is yellow, none is green — same semantic mapping as the SPF/DKIM/Passed-DMARC pies and the DMARC-passage timechart, applied via charting.fieldColors. Matches OSD's existing color overrides on the equivalent viz. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * CHANGELOG: clarify that "Create new objects with unique IDs" is the default The OSD import dialog defaults to that mode — users have to actively switch away from it, not just avoid picking it. Reword the upgrade note to lead with the switch and explain why the default would silently preserve the bug. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- 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
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Shell
1.7%
