* fix: import OpenSearch dashboards into the real Global tenant
dashboard-dev-bootstrap.sh sent `securitytenant: global_tenant`. The
OpenSearch security plugin reads that header as a tenant *name*, and
`global_tenant` is a sample custom tenant from the security demo config
-- not the shared Global tenant, whose token is the literal `global`.
The import therefore landed in a separate `global_tenant` tenant (its
own `.kibana_<hash>_globaltenant_1` index) and the dashboards were
invisible to anyone viewing the Global tenant in OpenSearch Dashboards.
Verified against the live dev cluster: `_find` under `securitytenant:
global` returned 26 objects and `.kibana_1` (the Global tenant index the
UI reads) went from 2 to 67 docs after re-importing with the fix. An
empty/omitted header read 0 from Global -- it falls back to the user's
configured default tenant -- so `global` is the only reliable token.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: don't drop report files whose names contain glob metacharacters
The CLI expanded every file argument with glob(), which treats [, ], *,
and ? as pattern syntax. A literal path like
"[Netease DMARC Failure Report] Rent Reminder.eml" -- the bracketed shape
many providers use for emailed failure reports -- was read as a character
class, matched nothing, and was dropped before reaching the parser, with
no error. File arguments that exist on disk are now taken literally; only
non-existent paths are globbed, so shell-style wildcards still expand.
Also adds "postgresql" to _KNOWN_SECTIONS so PARSEDMARC_POSTGRESQL_* env
vars (and their _FILE Docker-secret variants) resolve like every other
backend -- the PostgreSQL backend is new in 10.0.0, so this completes the
unreleased feature rather than fixing a released regression, and is
documented under the PostgreSQL enhancement, not Bug fixes.
Regression tests added for both. Verified end-to-end: all four
samples/failure/*.eml now index (the bracketed Netease report included).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* dev: validate dashboards on OpenSearch 3.x and add PostgreSQL to the dev stack
The dev stack ran OpenSearch Dashboards 3.x against OpenSearch 2.x, an
unsupported cross-major pairing. Bump opensearch to :3 (validated on
3.6.0: OSD import into the Global tenant and all dashboards work).
Add a postgresql service plus bootstrap wiring so the new PostgreSQL
backend is exercised alongside the others: wait for PG, seed it via
PARSEDMARC_POSTGRESQL_* env vars on the same parsedmarc run, wipe it on
RESEED, create a Grafana grafana-postgresql-datasource (uid dmarc-pg),
and import dashboards/grafana/Grafana-DMARC_Reports-PostgreSQL.json.
PG seeding is gated on psycopg being importable: parsedmarc aborts the
whole run (exit 1, nothing written to any backend) when a configured
output backend can't initialize, so wiring in PG without the optional
extra would silently zero ES/OS/Splunk too. When psycopg is absent the
script warns and skips PG, leaving the other backends seeded.
Also fix the Grafana admin password env: the container was given
GRAFANA_PASSWORD, which Grafana ignores -- it reads
GF_SECURITY_ADMIN_PASSWORD. Defaults to admin to match the script.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: list PostgreSQL on the premade-dashboards features bullet
PostgreSQL ships a premade Grafana dashboard
(dashboards/grafana/Grafana-DMARC_Reports-PostgreSQL.json), so it belongs
on the "for use with premade dashboards" bullet alongside Elasticsearch,
OpenSearch, and Splunk rather than on the plain-output-destinations line.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: clear stale org_email mapping conflict in the OpenSearch dashboards
The aggregate index pattern in dashboards/opensearch/opensearch_dashboards.ndjson
shipped a cached field-list snapshot where org_email was a text/object
conflict, plus leftover org_email.#text and org_email.#text.keyword
subfields. Those came from a cluster that had indexed a langAttrString
email dict ({"#text": ..., "@lang": ...}) before the parser unwrapped it.
org_email is mapped as Text() and parse_aggregate_report_xml now unwraps a
dict email to a plain string, so current data is consistently text -- a
clean cluster's _field_caps reports no conflict. Cleared the frozen
conflict and the two artifact subfields, leaving org_email (text) and
org_email.keyword, matching the live mapping.
Verified: re-importing the corrected ndjson yields an index pattern with
org_email as a plain text field and zero conflicts; only the aggregate
index-pattern line changed, all other saved objects byte-identical.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* dev: seed the RFC 9990 (dmarc-2.0) aggregate samples
samples/aggregate/rfc9990-sample.xml and rfc9990-example.net!...xml were
not in the bootstrap's SAMPLE_FILES, so the dev stack only ever indexed
RFC 7489 reports and the new DMARCbis fields (np, testing,
discovery_method, generator, xml_namespace) never appeared in the
OpenSearch/Kibana indices or were available to the dashboards.
Added both samples (one declares the urn:ietf:params:xml:ns:dmarc-2.0
namespace, the other is namespaceless RFC 9990-shaped, covering both
detection paths). Verified the seeded data now carries np/testing/
discovery_method/generator and xml_namespace=urn:ietf:params:xml:ns:dmarc-2.0;
OpenSearch Dashboards surfaces them on an index-pattern field-list refresh.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* dev: auto-resolve (or create) a venv for the seed and ensure psycopg
The seed previously required parsedmarc to be pre-installed and only
warned-and-skipped PostgreSQL when psycopg was missing. Resolve the seed
environment by precedence instead:
1. explicit PARSEDMARC_BIN -> used as-is, nothing installed
2. active $VIRTUAL_ENV
3. existing repo venv/ or .venv/
4. otherwise create $REPO_ROOT/venv
For cases 2-4, run `pip install -e .[postgresql]` only when the CLI or
psycopg is missing, so the dev stack can populate Postgres out of the box
without a manual install step. The explicit-PARSEDMARC_BIN path is left
untouched (and the psycopg seed guard still warns/skips if that env lacks
the extra).
Verified: a RESEED run resolves the active venv, seeds ES/OS/Splunk/PG
including the RFC 9990 fields, with no output-client errors.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: note DMARC RFC support in the features list
The features list only mentioned "draft and 1.0" aggregate reports. Spell
out the standards parsedmarc parses: RFC 7489 (legacy DMARC) and the final
DMARC standard RFC 9989 with RFC 9990 aggregate reports, RFC 6591 and
RFC 9991 failure reports, and RFC 8460 SMTP TLS reports.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: align Python compatibility table pipes (MD060)
The emoji cells were padded for display width, leaving the source pipes
misaligned by character count and tripping markdownlint MD060. Re-pad so
every row's pipes line up by codepoint.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: list all optional output destinations; fix table emoji alignment
Expand the features list to cover every output sink: Elasticsearch,
OpenSearch, Splunk, and PostgreSQL (premade dashboards), plus Kafka,
Amazon S3, Azure Log Analytics (Microsoft Sentinel), Graylog (GELF),
syslog, and HTTP webhooks.
Also re-pad the Python compatibility table using display width (the
status emoji render two columns wide), which is what markdownlint MD060
measures — the previous codepoint-based padding still tripped the rule.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: separate PostgreSQL from the premade-dashboards clause
PostgreSQL is a storage target without bundled premade dashboards, so it
shouldn't sit inside the "for use with premade dashboards" phrase next to
Elasticsearch/OpenSearch/Splunk.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: move PostgreSQL to the non-dashboard outputs line
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: use compact markdown tables
Switch the markdown tables (Python compatibility, env-var section mapping)
to compact single-space format. It reads cleanly in a text editor and
sidesteps the column-alignment churn that emoji/variable-width content
caused with padded tables (markdownlint MD060). The reStructuredText grid
table in dmarc.md is left as-is — it relies on multi-line cells markdown
can't express.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Add DMARCbis report support; rename forensic→failure project-wide
Rebased on top of master @ 2cda5bf (9.9.0), which added the ASN
source attribution work (#712, #713, #714, #715). Individual Copilot
iteration commits squashed into this single commit — the per-commit
history on the feature branch was iterative (add tests, fix lint,
move field, revert, etc.) and not worth preserving; GitHub squash-
merges PRs anyway.
New fields from the DMARCbis XSD, plumbed through types, parsing, CSV
output, and the Elasticsearch / OpenSearch mappings:
- ``np`` — non-existent subdomain policy (``none`` / ``quarantine`` /
``reject``)
- ``testing`` — testing mode flag (``n`` / ``y``), replaces RFC 7489
``pct``
- ``discovery_method`` — policy discovery method (``psl`` /
``treewalk``)
- ``generator`` — report generator software identifier (metadata)
- ``human_result`` — optional descriptive text on DKIM / SPF results
RFC 7489 reports parse with ``None`` for DMARCbis-only fields.
Forensic reports have been renamed to failure reports throughout the
project to reflect the proper naming since RFC 7489.
- Core: ``types.py``, ``__init__.py`` — ``ForensicReport`` →
``FailureReport``, ``parse_forensic_report`` →
``parse_failure_report``, report type ``"failure"``.
- Output modules: ``elastic.py``, ``opensearch.py``, ``splunk.py``,
``kafkaclient.py``, ``syslog.py``, ``gelf.py``, ``webhook.py``,
``loganalytics.py``, ``s3.py``.
- CLI: ``cli.py`` — args, config keys, index names
(``dmarc_failure``).
- Docs + dashboards: all markdown, Grafana JSON, Kibana NDJSON,
Splunk XML.
Backward compatibility preserved: old function / type names remain as
aliases (``parse_forensic_report = parse_failure_report``,
``ForensicReport = FailureReport``, etc.), CLI accepts both the old
(``save_forensic``, ``forensic_topic``) and new (``save_failure``,
``failure_topic``) config keys, and updated dashboards query both
old and new index / sourcetype names so data from before and after
the rename appears together.
Merge conflicts resolved in ``parsedmarc/constants.py`` (took bis's
10.0.0 bump), ``parsedmarc/__init__.py`` (combined bis's "failure"
wording with master's IPinfo MMDB mention), ``parsedmarc/elastic.py``
and ``parsedmarc/opensearch.py`` (kept master's ``source_asn`` /
``source_asn_name`` / ``source_asn_domain`` on the failure doc path
while renaming ``forensic_report`` → ``failure_report``), and
``CHANGELOG.md`` (10.0.0 entry now sits above the 9.9.0 entry).
All 324 tests pass; ``ruff check`` / ``ruff format --check`` clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Apply post-RFC review fixes: RFC 9990 detection, langAttrString, CFWS-aware RUF parsing
Aligns the implementation with the final RFCs (9989/9990/9991) instead of
inferring DMARCbis support from the version element or the namespace alone.
Aggregate parsing (RFC 9990):
- _text() helper unwraps langAttrString values (extra_contact_info, error,
comment, human_result, generator) — when reporters include the lang
attribute, xmltodict yields {"#text": ..., "@lang": ...} dicts instead
of strings; the parser now stores the text payload in both shapes.
- New xml_namespace field on AggregateReport records the declared XML
namespace (urn:ietf:params:xml:ns:dmarc-2.0 for RFC 9990 reports).
- RFC 9990 detection accepts namespaceless reports that follow the
RFC 9990 shape (presence of np / testing / discovery_method / generator),
so reporters that don't declare the namespace still receive RFC 9990-
aware validation.
- Warnings: missing DKIM <selector> (REQUIRED in RFC 9990); legacy
forwarded / sampled_out policy-override types (removed by RFC 9990);
unknown policy-override types per the RFC 9990 enumeration.
- xml_namespace added to Elasticsearch and OpenSearch document mappings.
Failure parsing (RFC 9991):
- Identity-Alignment and Auth-Failure are split on commas with CFWS
whitespace stripped per the RFC 9991 ABNF; previously "dkim, spf"
yielded ["dkim", " spf"] with a leading space on the second token.
- Warnings logged when either REQUIRED field is missing.
Terminology: every reference to "DMARCbis" in code, tests, sample
filenames, AGENTS.md, and CHANGELOG.md is replaced with the appropriate
RFC number (9989 for the policy spec, 9990 for aggregate reports, 9991
for failure reports). Sample contents are unchanged.
Docs: corrects the prior claim that fo was dropped from RFC 9990 (only
pct was), reframes testing as a new field (not a pct replacement, since
RFC 9989 Appendix A.6 removed pct with no per-message substitute), and
documents the policy_override_reason enum changes (added policy_test_mode;
removed forwarded / sampled_out).
Tests: 8 new tests covering xml_namespace capture, RFC 9990 detection
from field shape, missing-DKIM-selector warning, legacy-override-type
warning, langAttrString unwrapping across all four affected elements,
and CFWS-aware Identity-Alignment / Auth-Failure parsing plus their
missing-field warnings. 276 tests total, all passing; ruff clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Sean Whalen <44679+seanthegeek@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Set global TOC collapse to false
* Split documentation
I tried to split the index.md file into logical parts, not changing the contents.
I did add a space and change one HTTP URL to HTTPS.
---------
Co-authored-by: Sean Whalen <44679+seanthegeek@users.noreply.github.com>
* Implemented Azure Log Analytics ingestion via Data Collection Rules
* Update loganalytics.py
* Update cli.py
* Update pyproject.toml
* Fixed config bug
Fixed a bug that causes the program to fail if you do not configure a Data stream.
* Fixed code format
```
org.elasticsearch.ElasticsearchSecurityException: invalid configuration for xpack.security.transport.ssl - [xpack.security.transport.ssl.enabled] is not set, but the following settings have been configured in elasticsearch.yml : [xpack.security.transport.ssl.keystore.secure_password,xpack.security.transport.ssl.truststore.secure_password]
```
Add information on how to fix "Elasticsearch error: RequestError(400, 'validation_exception', 'Validation Failed: 1: this action would add [1] shards, but this cluster currently has [1000]/[1000] maximum normal shards open;"
* Update elasticsearch/kibana instructions
[From elastisearch notes](https://www.elastic.co/guide/en/elasticsearch/reference/current/important-settings.html#heap-size-settings) :
```
By default, Elasticsearch automatically sets the JVM heap size based on a node’s roles and total memory. We recommend the default sizing for most production environments.
```
* Update nginx conf to TLSv1.3 and IPv6
* Replace nginx proxy by native https server
Kibana now provide https web server, remove the nginx proxy part and directly use kibana
* Fix typo
* Add infos how to login to kibana
* Add interface details