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DMARC Report Analyzer
Convert complex DMARC Aggregate (RUA) XML reports into human-readable tables and security insights.
Evidence
ASSESSED
- Checked against
- DMARC aggregate report XML · RFC 7489 §7.2
RED TEAM
0
findings
BLUE TEAM
control did not hold
Working with RUA Reports
DMARC Aggregate Reports are sent periodically by email providers (like Google, Microsoft) to the address specified in your rua= tag.
- Analyze Sources: Identify exactly which IPs are sending mail on behalf of your domain.
- Verify Compliance: Check which percentage of your mail streams are successfully aligned with SPF and DKIM.
- Fix Spoofing: Spot unauthorized IPs attempting to spoof your domain before you move to a
rejectpolicy.
Our DMARC Report Analyzer parses the aggregate XML reports that mailbox providers send to your rua address and turns them into a readable summary — which sources are sending as your domain, which pass authentication, and which are failing and why.
What is a DMARC Aggregate Report?
A DMARC aggregate report is an XML document that a mailbox provider sends you once a day, summarising every message it received claiming to be from your domain.
Each report groups messages by sending IP address and records how many there were, whether SPF and DKIM passed, whether each result aligned with your From domain, and what policy the provider applied as a result.
The reports arrive as gzip or zip attachments at the address in your rua= tag. They contain no message content and no recipient addresses — only counts and authentication outcomes — which is why providers are willing to send them at scale.
Each report groups messages by sending IP address and records how many there were, whether SPF and DKIM passed, whether each result aligned with your From domain, and what policy the provider applied as a result.
The reports arrive as gzip or zip attachments at the address in your rua= tag. They contain no message content and no recipient addresses — only counts and authentication outcomes — which is why providers are willing to send them at scale.
- Daily XML summaries from each participating mailbox provider
- Grouped by sending IP with message counts and authentication results
- Contains no message content or recipient addresses
- Delivered as compressed attachments to your rua= address
- The only reliable way to discover every source sending as your domain
Why DMARC Reports Matter
Aggregate reports are what make DMARC enforcement safe. Moving to p=reject without reading them means guessing which of your systems send mail — and discovering the ones you forgot when their mail starts being rejected.
They are also a detection capability. Reports reveal every source using your domain, including ones you did not authorise: a marketing platform a department signed up for without telling anyone, a compromised account relaying spam, or an attacker spoofing your domain in a phishing campaign. None of that is visible any other way.
They are also a detection capability. Reports reveal every source using your domain, including ones you did not authorise: a marketing platform a department signed up for without telling anyone, a compromised account relaying spam, or an attacker spoofing your domain in a phishing campaign. None of that is visible any other way.
- Reveals every system sending as your domain, including forgotten ones
- Makes the move to enforcement safe rather than a guess
- Surfaces unauthorised senders and shadow IT
- Detects active spoofing and phishing campaigns against your brand
- Shows exactly which mechanism is failing for each source
How This DMARC Report Analyzer Works
The tool parses the aggregate XML and aggregates the records into a per-source summary.
- Accepts the aggregate report XML from your rua mailbox
- Parses the report metadata: reporting organisation, date range and published policy
- Groups records by source IP address with message volumes
- Evaluates SPF and DKIM results together with their alignment status
- Summarises which sources pass, which fail, and what the failure mode is
How to Use the DMARC Report Analyzer
- Open the report attachment from your DMARC mailbox and extract the XML
- Paste or upload the XML content into the tool
- Review the summary of sending sources by volume
- Investigate any source you do not recognise
- For known sources that are failing, note whether SPF or DKIM is the problem
Understanding Your DMARC Report Data
Each report record describes one sending source over the reporting period:
| Field / Value | Meaning |
|---|---|
Source IP |
The address that made the connection. Resolve it to identify the sender — it will usually be your mail provider, a vendor, a forwarder, or something unexpected worth investigating. |
Message count |
How many messages arrived from that source during the period. High volume from an unknown source is the clearest signal of either shadow IT or active abuse. |
SPF result |
Whether SPF passed for this source, and separately whether the authenticated domain aligned with your From domain. Both matter, and they are reported separately. |
DKIM result |
Whether a valid DKIM signature was present and whether its d= domain aligned. A pass without alignment does not satisfy DMARC. |
Disposition |
What the provider actually did — none, quarantine or reject. Under p=none this always reads none regardless of the authentication outcome. |
Policy evaluated |
The policy the provider applied, which may differ from your published one if they applied local overrides such as trusted forwarder handling. |
Common Problems & How to Fix Them
Best Practices
- Send reports to a dedicated mailbox rather than a personal inbox
- Use a parser or reporting service instead of reading raw XML
- Review reports weekly, and daily during a policy change
- Investigate every unrecognised source before moving to enforcement
- Track the proportion of mail that passes DMARC as your rollout metric
- Keep reporting enabled permanently, not just during the initial rollout
- Correlate report volume with your own sending volume to spot anomalies
Security Recommendations
- Treat an unrecognised high-volume source as a potential compromise or active spoofing campaign and investigate promptly
- Remember reports are submitted by third parties, so validate and sanitise the XML before parsing it programmatically
- Watch for sudden volume spikes, which frequently precede or accompany a phishing campaign using your brand
- Use reports to find shadow IT — unauthorised vendors sending as your domain are a governance problem as well as a technical one
- Do not expose your DMARC reporting mailbox publicly, since knowing it reveals your monitoring posture
- Keep historical reports so you can establish what normal looks like and detect deviation from it