diff --git a/CHANGELOG.md b/CHANGELOG.md index f59b9e77..de2fc5eb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,6 +13,8 @@ ### Changes +- **The DMARC pass/fail pie chart and over-time chart are now named for DMARC compliance** in the OpenSearch Dashboards/Kibana and Splunk dashboards and the Elasticsearch-backed Grafana dashboard (the PostgreSQL Grafana variant has no pass/fail charts and is unchanged): "DMARC compliance" and "DMARC compliance over time" ("DMARC Compliance" / "DMARC Compliance Over Time" in Grafana, which title-cases panel names), replacing the previous mix of "Passed DMARC", "DMARC Passage", and "DMARC passage over time". This matches the existing "% DMARC Compliant" table column and the "Message volume and DMARC compliance by from domain" panels. The Splunk dashboard's pass/fail filter dropdown label was renamed to "DMARC compliant" to match. +- **The Grafana dashboard's Guide panel walkthrough now matches the current panel layout**, directing readers to the "Top 2000 Message Sources by Reverse DNS" and "Message volume and DMARC compliance by from domain" tables and describing the compliance percentage they show, replacing stale references to a from-domain list "on the right" and a "Message From Header" table that no longer exists. - **`get_dmarc_reports_from_mailbox()` gained an optional keyword-only `save_callback` parameter**, invoked once per fetched batch with a `ParsingResults` dict holding only that batch's newly parsed reports, after parsing but before any of the batch's messages are deleted or moved out of `reports_folder`. Returning `False` reports the batch as unsaved: its messages stay in place for retry and the aggregate-report dedup cache is not updated for that batch, so the retry reparses those reports rather than skipping them as duplicates. Raising counts as an unsaved batch too — the same retention and `max_unsaved_retries` bookkeeping runs — and the exception is then re-raised, so a callback that fails by raising (the CLI's does, under `fail_on_output_error`) is still bounded by the retry cap even when the caller's watch loop swallows the exception, as mailsuite's IMAP and Maildir backends do. Any other return value, including `None`, commits the batch exactly as before, which is what `save_callback=None` (the default) does for every batch. As a related, strictly safer side effect of staging the dedup keys per batch, a mid-batch crash now leaves `SEEN_AGGREGATE_REPORT_IDS` unmodified for that batch instead of partially populated. - **`watch_inbox()`'s `callback` is now passed through as `save_callback`**, so it runs once per batch *before* that batch is archived or deleted, with only that batch's reports, rather than once afterward with the whole check's accumulated results. It may return `False` to defer a batch to the next check. - **A single-shot CLI run configured with both file/mbox inputs and a mailbox connection now emits output in two passes instead of one**: mailbox-derived reports are saved through the new `save_callback` before `get_dmarc_reports_from_mailbox()` returns, and file/mbox-derived reports are saved in a second pass afterward. `append_json`/`append_csv` are already append-safe and watch mode already called its callback repeatedly, so this changes how often output happens in the single-shot case, not what is written. When a mailbox connection is configured and the file/mbox inputs yielded no reports (none given, or none parsed), the second pass is skipped entirely rather than printing an empty JSON document. diff --git a/dashboards/grafana/Grafana-DMARC_Reports.json b/dashboards/grafana/Grafana-DMARC_Reports.json index d48f381b..f70098cb 100644 --- a/dashboards/grafana/Grafana-DMARC_Reports.json +++ b/dashboards/grafana/Grafana-DMARC_Reports.json @@ -83,7 +83,7 @@ "id": 28, "panels": [ { - "content": "# DMARC Summary\r\nAs the name suggests, this dashboard is the best place to start reviewing your aggregate DMARC data.\r\n\r\nAcross the top of the dashboard, three pie charts display the percentage of alignment pass/fail for SPF, DKIM, and DMARC. Clicking on any chart segment will filter for that value.\r\n\r\n***Note***\r\nMessages should not be considered malicious just because they failed to pass DMARC; especially if you have just started collecting data. It may be a legitimate service that needs SPF and DKIM configured correctly.\r\n\r\nStart by filtering the results to only show failed DKIM alignment. While DMARC passes if a message passes SPF or DKIM alignment, only DKIM alignment remains valid when a message is forwarded without changing the from address, which is often caused by a mailbox forwarding rule. This is because DKIM signatures are part of the message headers, whereas SPF relies on SMTP session headers.\r\n\r\nUnderneath the pie charts. you can see graphs of DMARC passage and message disposition over time.\r\n\r\nUnder the graphs you will find the most useful data tables on the dashboard. On the left, there is a list of organizations that are sending you DMARC reports. In the center, there is a list of sending servers grouped by the base domain in their reverse DNS. On the right, there is a list of email from domains, sorted by message volume.\r\n\r\nBy hovering your mouse over a data table value and using the magnifying glass icons, you can filter on or filter out different values. Start by looking at the Message Sources by Reverse DNS table. Find a sender that you recognize, such as an email marketing service, hover over it, and click on the plus (+) magnifying glass icon, to add a filter that only shows results for that sender. Now, look at the Message From Header table to the right. That shows you the domains that a sender is sending as, which might tell you which brand/business is using a particular service. With that information, you can contact them and have them set up DKIM.\r\n\r\n***Note***\r\nIf you have a lot of B2C customers, you may see a high volume of emails as your domains coming from consumer email services, such as Google/Gmail and Yahoo! This occurs when customers have mailbox rules in place that forward emails from an old account to a new account, which is why DKIM authentication is so important, as mentioned earlier. Similar patterns may be observed with businesses who send from reverse DNS addressees of parent, subsidiary, and outdated brands.\r\n\r\n***Note***\r\nYou can add your own custom temporary filters by clicking on Add Filter at the upper right of the page.\r\n\r\n# DMARC Failure Samples\r\nThe DMARC Failure Samples section contains information on DMARC failure reports (also known as forensic or ruf reports). These reports contain samples of emails that have failed to pass DMARC.\r\n\r\n***Note***\r\nMost recipients do not send failure/ruf reports at all to avoid privacy leaks. Some recipients (notably Chinese webmail services) will only supply the headers of sample emails. Very few provide the entire email.\r\n\r\n# DMARC Alignment Guide\r\nDMARC ensures that SPF and DKIM authentication mechanisms actually authenticate against the same domain that the end user sees.\r\n\r\nA message passes a DMARC check by passing DKIM or SPF, **as long as the related indicators are also in alignment.**\r\n\r\n| \t| DKIM \t| SPF \t|\r\n|-----------\t|--------------------------------------------------------------------------------------------------------------------------------------------------\t|----------------------------------------------------------------------------------------------------------------\t|\r\n| **Passing** \t| The signature in the DKIM header is validated using a public key that is published as a DNS record of the domain name specified in the signature \t| The mail server's IP address is listed in the SPF record of the domain in the SMTP envelope's mail from header \t|\r\n| **Alignment** \t| The signing domain aligns with the domain in the message's from header \t| The domain in the SMTP envelope's mail from header aligns with the domain in the message's from header \t|\r\n\r\n\r\n# Further Reading\r\n[Demystifying DMARC: A guide to preventing email spoofing](https://seanthegeek.net/459/demystifying-dmarc/amp/)\r\n\r\n[DMARC Manual](https://menainfosec.com/wp-content/uploads/2017/12/DMARC_Service_Manual.pdf)\r\n\r\n[What is “External Destination Verification”?](https://dmarcian.com/what-is-external-destination-verification/)", + "content": "# DMARC Summary\r\nAs the name suggests, this dashboard is the best place to start reviewing your aggregate DMARC data.\r\n\r\nAcross the top of the dashboard, three pie charts display the percentage of alignment pass/fail for SPF, DKIM, and DMARC. Clicking on any chart segment will filter for that value.\r\n\r\n***Note***\r\nMessages should not be considered malicious just because they failed to pass DMARC; especially if you have just started collecting data. It may be a legitimate service that needs SPF and DKIM configured correctly.\r\n\r\nStart by filtering the results to only show failed DKIM alignment. While DMARC passes if a message passes SPF or DKIM alignment, only DKIM alignment remains valid when a message is forwarded without changing the from address, which is often caused by a mailbox forwarding rule. This is because DKIM signatures are part of the message headers, whereas SPF relies on SMTP session headers.\r\n\r\nUnderneath the pie charts, you can see graphs of DMARC compliance and message disposition over time.\r\n\r\nUnder the graphs you will find the most useful data tables on the dashboard. On the left, there is a list of organizations that are sending you DMARC reports. On the right, there is a list of sending servers grouped by the base domain in their reverse DNS, and below it the Message volume and DMARC compliance by from domain table, which lists email from domains with their message volume and the percentage of those messages that passed DMARC.\r\n\r\nBy hovering your mouse over a data table value and using the magnifying glass icons, you can filter on or filter out different values. Start by looking at the Top 2000 Message Sources by Reverse DNS table. Find a sender that you recognize, such as an email marketing service, hover over it, and click on the plus (+) magnifying glass icon, to add a filter that only shows results for that sender. Now, look at the Message volume and DMARC compliance by from domain table below it. That shows you the domains that a sender is sending as, and what share of that traffic is passing DMARC, which might tell you which brand/business is using a particular service. With that information, you can contact them and have them set up DKIM.\r\n\r\n***Note***\r\nIf you have a lot of B2C customers, you may see a high volume of emails as your domains coming from consumer email services, such as Google/Gmail and Yahoo! This occurs when customers have mailbox rules in place that forward emails from an old account to a new account, which is why DKIM authentication is so important, as mentioned earlier. Similar patterns may be observed with businesses who send from reverse DNS addressees of parent, subsidiary, and outdated brands.\r\n\r\n***Note***\r\nYou can add your own custom temporary filters by clicking on Add Filter at the upper right of the page.\r\n\r\n# DMARC Failure Samples\r\nThe DMARC Failure Samples section contains information on DMARC failure reports (also known as forensic or ruf reports). These reports contain samples of emails that have failed to pass DMARC.\r\n\r\n***Note***\r\nMost recipients do not send failure/ruf reports at all to avoid privacy leaks. Some recipients (notably Chinese webmail services) will only supply the headers of sample emails. Very few provide the entire email.\r\n\r\n# DMARC Alignment Guide\r\nDMARC ensures that SPF and DKIM authentication mechanisms actually authenticate against the same domain that the end user sees.\r\n\r\nA message passes a DMARC check by passing DKIM or SPF, **as long as the related indicators are also in alignment.**\r\n\r\n| \t| DKIM \t| SPF \t|\r\n|-----------\t|--------------------------------------------------------------------------------------------------------------------------------------------------\t|----------------------------------------------------------------------------------------------------------------\t|\r\n| **Passing** \t| The signature in the DKIM header is validated using a public key that is published as a DNS record of the domain name specified in the signature \t| The mail server's IP address is listed in the SPF record of the domain in the SMTP envelope's mail from header \t|\r\n| **Alignment** \t| The signing domain aligns with the domain in the message's from header \t| The domain in the SMTP envelope's mail from header aligns with the domain in the message's from header \t|\r\n\r\n\r\n# Further Reading\r\n[Demystifying DMARC: A guide to preventing email spoofing](https://seanthegeek.net/459/demystifying-dmarc/amp/)\r\n\r\n[DMARC Manual](https://menainfosec.com/wp-content/uploads/2017/12/DMARC_Service_Manual.pdf)\r\n\r\n[What is “External Destination Verification”?](https://dmarcian.com/what-is-external-destination-verification/)", "datasource": null, "fieldConfig": { "defaults": { @@ -101,7 +101,7 @@ "links": [], "mode": "markdown", "options": { - "content": "# DMARC Summary\r\nAs the name suggests, this dashboard is the best place to start reviewing your aggregate DMARC data.\r\n\r\nAcross the top of the dashboard, three pie charts display the percentage of alignment pass/fail for SPF, DKIM, and DMARC. Clicking on any chart segment will filter for that value.\r\n\r\n***Note***\r\nMessages should not be considered malicious just because they failed to pass DMARC; especially if you have just started collecting data. It may be a legitimate service that needs SPF and DKIM configured correctly.\r\n\r\nStart by filtering the results to only show failed DKIM alignment. While DMARC passes if a message passes SPF or DKIM alignment, only DKIM alignment remains valid when a message is forwarded without changing the from address, which is often caused by a mailbox forwarding rule. This is because DKIM signatures are part of the message headers, whereas SPF relies on SMTP session headers.\r\n\r\nUnderneath the pie charts. you can see graphs of DMARC passage and message disposition over time.\r\n\r\nUnder the graphs you will find the most useful data tables on the dashboard. On the left, there is a list of organizations that are sending you DMARC reports. In the center, there is a list of sending servers grouped by the base domain in their reverse DNS. On the right, there is a list of email from domains, sorted by message volume.\r\n\r\nBy hovering your mouse over a data table value and using the magnifying glass icons, you can filter on or filter out different values. Start by looking at the Message Sources by Reverse DNS table. Find a sender that you recognize, such as an email marketing service, hover over it, and click on the plus (+) magnifying glass icon, to add a filter that only shows results for that sender. Now, look at the Message From Header table to the right. That shows you the domains that a sender is sending as, which might tell you which brand/business is using a particular service. With that information, you can contact them and have them set up DKIM.\r\n\r\n***Note***\r\nIf you have a lot of B2C customers, you may see a high volume of emails as your domains coming from consumer email services, such as Google/Gmail and Yahoo! This occurs when customers have mailbox rules in place that forward emails from an old account to a new account, which is why DKIM authentication is so important, as mentioned earlier. Similar patterns may be observed with businesses who send from reverse DNS addressees of parent, subsidiary, and outdated brands.\r\n\r\n***Note***\r\nYou can add your own custom temporary filters by clicking on Add Filter at the upper right of the page.\r\n\r\n# DMARC Failure Samples\r\nThe DMARC Failure Samples section contains information on DMARC failure reports (also known as forensic or ruf reports). These reports contain samples of emails that have failed to pass DMARC.\r\n\r\n***Note***\r\nMost recipients do not send failure/ruf reports at all to avoid privacy leaks. Some recipients (notably Chinese webmail services) will only supply the headers of sample emails. Very few provide the entire email.\r\n\r\n# DMARC Alignment Guide\r\nDMARC ensures that SPF and DKIM authentication mechanisms actually authenticate against the same domain that the end user sees.\r\n\r\nA message passes a DMARC check by passing DKIM or SPF, **as long as the related indicators are also in alignment.**\r\n\r\n| \t| DKIM \t| SPF \t|\r\n|-----------\t|--------------------------------------------------------------------------------------------------------------------------------------------------\t|----------------------------------------------------------------------------------------------------------------\t|\r\n| **Passing** \t| The signature in the DKIM header is validated using a public key that is published as a DNS record of the domain name specified in the signature \t| The mail server's IP address is listed in the SPF record of the domain in the SMTP envelope's mail from header \t|\r\n| **Alignment** \t| The signing domain aligns with the domain in the message's from header \t| The domain in the SMTP envelope's mail from header aligns with the domain in the message's from header \t|\r\n\r\n\r\n# Further Reading\r\n[Demystifying DMARC: A guide to preventing email spoofing](https://seanthegeek.net/459/demystifying-dmarc/amp/)\r\n\r\n[DMARC Manual](https://menainfosec.com/wp-content/uploads/2017/12/DMARC_Service_Manual.pdf)\r\n\r\n[What is “External Destination Verification”?](https://dmarcian.com/what-is-external-destination-verification/)", + "content": "# DMARC Summary\r\nAs the name suggests, this dashboard is the best place to start reviewing your aggregate DMARC data.\r\n\r\nAcross the top of the dashboard, three pie charts display the percentage of alignment pass/fail for SPF, DKIM, and DMARC. Clicking on any chart segment will filter for that value.\r\n\r\n***Note***\r\nMessages should not be considered malicious just because they failed to pass DMARC; especially if you have just started collecting data. It may be a legitimate service that needs SPF and DKIM configured correctly.\r\n\r\nStart by filtering the results to only show failed DKIM alignment. While DMARC passes if a message passes SPF or DKIM alignment, only DKIM alignment remains valid when a message is forwarded without changing the from address, which is often caused by a mailbox forwarding rule. This is because DKIM signatures are part of the message headers, whereas SPF relies on SMTP session headers.\r\n\r\nUnderneath the pie charts, you can see graphs of DMARC compliance and message disposition over time.\r\n\r\nUnder the graphs you will find the most useful data tables on the dashboard. On the left, there is a list of organizations that are sending you DMARC reports. On the right, there is a list of sending servers grouped by the base domain in their reverse DNS, and below it the Message volume and DMARC compliance by from domain table, which lists email from domains with their message volume and the percentage of those messages that passed DMARC.\r\n\r\nBy hovering your mouse over a data table value and using the magnifying glass icons, you can filter on or filter out different values. Start by looking at the Top 2000 Message Sources by Reverse DNS table. Find a sender that you recognize, such as an email marketing service, hover over it, and click on the plus (+) magnifying glass icon, to add a filter that only shows results for that sender. Now, look at the Message volume and DMARC compliance by from domain table below it. That shows you the domains that a sender is sending as, and what share of that traffic is passing DMARC, which might tell you which brand/business is using a particular service. With that information, you can contact them and have them set up DKIM.\r\n\r\n***Note***\r\nIf you have a lot of B2C customers, you may see a high volume of emails as your domains coming from consumer email services, such as Google/Gmail and Yahoo! This occurs when customers have mailbox rules in place that forward emails from an old account to a new account, which is why DKIM authentication is so important, as mentioned earlier. Similar patterns may be observed with businesses who send from reverse DNS addressees of parent, subsidiary, and outdated brands.\r\n\r\n***Note***\r\nYou can add your own custom temporary filters by clicking on Add Filter at the upper right of the page.\r\n\r\n# DMARC Failure Samples\r\nThe DMARC Failure Samples section contains information on DMARC failure reports (also known as forensic or ruf reports). These reports contain samples of emails that have failed to pass DMARC.\r\n\r\n***Note***\r\nMost recipients do not send failure/ruf reports at all to avoid privacy leaks. Some recipients (notably Chinese webmail services) will only supply the headers of sample emails. Very few provide the entire email.\r\n\r\n# DMARC Alignment Guide\r\nDMARC ensures that SPF and DKIM authentication mechanisms actually authenticate against the same domain that the end user sees.\r\n\r\nA message passes a DMARC check by passing DKIM or SPF, **as long as the related indicators are also in alignment.**\r\n\r\n| \t| DKIM \t| SPF \t|\r\n|-----------\t|--------------------------------------------------------------------------------------------------------------------------------------------------\t|----------------------------------------------------------------------------------------------------------------\t|\r\n| **Passing** \t| The signature in the DKIM header is validated using a public key that is published as a DNS record of the domain name specified in the signature \t| The mail server's IP address is listed in the SPF record of the domain in the SMTP envelope's mail from header \t|\r\n| **Alignment** \t| The signing domain aligns with the domain in the message's from header \t| The domain in the SMTP envelope's mail from header aligns with the domain in the message's from header \t|\r\n\r\n\r\n# Further Reading\r\n[Demystifying DMARC: A guide to preventing email spoofing](https://seanthegeek.net/459/demystifying-dmarc/amp/)\r\n\r\n[DMARC Manual](https://menainfosec.com/wp-content/uploads/2017/12/DMARC_Service_Manual.pdf)\r\n\r\n[What is “External Destination Verification”?](https://dmarcian.com/what-is-external-destination-verification/)", "mode": "markdown" }, "pluginVersion": "7.1.0", @@ -397,7 +397,7 @@ ], "timeFrom": null, "timeShift": null, - "title": "DMARC Passage", + "title": "DMARC Compliance", "transparent": true, "type": "grafana-piechart-panel", "valueName": "total" @@ -1260,7 +1260,7 @@ ], "timeFrom": null, "timeShift": null, - "title": "DMARC Passage Over Time", + "title": "DMARC Compliance Over Time", "type": "timeseries" }, { diff --git a/dashboards/opensearch/opensearch_dashboards.ndjson b/dashboards/opensearch/opensearch_dashboards.ndjson index 4dcf1d30..11b38708 100644 --- a/dashboards/opensearch/opensearch_dashboards.ndjson +++ b/dashboards/opensearch/opensearch_dashboards.ndjson @@ -1,13 +1,13 @@ 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{"attributes":{"description":"","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"About DMARC failure reports (RUF)","uiStateJSON":"{}","version":1,"visState":"{\"title\": \"About DMARC failure reports (RUF)\", \"type\": \"markdown\", \"aggs\": [], \"params\": {\"fontSize\": 12, \"openLinksInNewTab\": false, \"markdown\": \"## About DMARC failure reports (RUF)\\n\\nDMARC failure reports (RUF) contain an email sample that failed DMARC. These can be very useful for DMARC troubleshooting and phishing investigations. However, **most email providers** do not send failure reports, or may only supply the message headers for privacy reasons.\\n\\nIf you want to ensure that email samples are not saved here, **do not** set a `ruf` address in your domain's DMARC record.\\n\\n\\n\"}}"},"id":"ddc4da10-2654-11f1-96a6-fb3734bd0b21","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2026-07-21T23:26:45.906Z","version":"WzE0NywyXQ=="} 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diff --git a/dashboards/splunk/dmarc_aggregate_dashboard.xml b/dashboards/splunk/dmarc_aggregate_dashboard.xml index 50ca00e9..e8aa8c98 100644 --- a/dashboards/splunk/dmarc_aggregate_dashboard.xml +++ b/dashboards/splunk/dmarc_aggregate_dashboard.xml @@ -28,7 +28,7 @@ * - + any true false @@ -157,7 +157,7 @@ - Passed DMARC + DMARC compliance | stats sum(message_count) by passed_dmarc @@ -246,7 +246,7 @@ - DMARC passage over time + DMARC compliance over time | timechart span=1d sum(message_count) as message_count by passed_dmarc diff --git a/docs/source/kibana.md b/docs/source/kibana.md index 8a2be4b7..d9f12b36 100644 --- a/docs/source/kibana.md +++ b/docs/source/kibana.md @@ -38,7 +38,7 @@ valid when a message is forwarded without changing the from address, which is often caused by a mailbox forwarding rule. This is because DKIM signatures are part of the message headers, whereas SPF relies on SMTP session headers. -Underneath the pie charts. you can see graphs of DMARC passage and message +Underneath the pie charts, you can see graphs of DMARC compliance and message disposition over time. Under the graphs you will find the most useful data tables on the dashboard. On