# Free DMARC report analyzer for aggregate XML reports

Analyze aggregate DMARC XML reports for alignment, disposition, and sending sources.

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Free DMARC report analyzer

Run a free DMARC report analyzer to turn aggregate XML into a usable operational summary. Review total volume, policy outcomes, alignment rates, and top sending sources before changing enforcement or opening remediation.

Analyze a DMARC XML report

## Paste an aggregate report to summarize it

Paste the full DMARC aggregate XML into the field below. The analyzer returns volume, alignment, policy outcome, and top source summaries.

Best fit

### Use this when a raw DMARC XML report is slowing decisions down

This page is strongest when a team already has aggregate XML and needs the fastest path to source-level understanding before changing enforcement or chasing failures.

- Summarize report volume without manual XML parsing
- Find the senders driving most failed alignment
- Review enforcement posture before policy tightening

Upgrade path

### One-shot XML parsing is useful, recurring monitoring is better

After you understand the current report, move into a monitoring workflow that keeps sender drift visible without waiting for someone to manually inspect XML.

- Keep DMARC posture visible between release cycles
- Track sender cleanup over time instead of once
- Route policy and source findings to the right owners

[Open DMARC monitoring](https://www.mailslurp.com/email/dmarc-monitoring/)

## Key details

Primary use

### Aggregate XML review

Convert raw DMARC reports into a clearer summary before remediation work starts.

Core signal

### Alignment rate

See how much of the reported traffic is fully aligned versus failing policy.

Most useful view

### Top sources

Find the IPs and source clusters driving most report volume or failures.

Best moment

### Policy review

Use this before enforcement changes, sender cleanup, or escalation with provider owners.

What this checks

## A strong DMARC report analyzer should surface the operational signals first

The useful output is not the raw XML tree. It is the report scope, the alignment outcome, and which sources account for most of the traffic or failure volume.

Volume

Total messages

See the scale of the reporting window before focusing on individual sources.

Alignment

Pass and fail rates

Understand whether enforcement problems are concentrated or systemic.

Policy

Disposition outcomes

Review how much traffic fell into none, quarantine, or reject dispositions.

Sources

Top IPs

Find the sender paths that deserve the next remediation step.

Operational use

## Best used for enforcement planning, cleanup, and sender review

Searches for a DMARC report analyzer usually come from operators trying to make a concrete decision about unknown sources or failing alignment, not just from teams learning the format.

### Policy rollout review

Check whether the current report shows enough aligned traffic to justify moving from observation toward stronger enforcement.

### Unknown sender cleanup

Identify the source IPs creating most of the noise before you start a cleanup effort with platform or vendor owners.

### Escalation evidence

Use the summary to hand stakeholders a clearer picture than raw XML when decisions need to move quickly.

## Related tools

### DMARC checker

Validate the live DMARC record itself when the report suggests policy gaps.

[Open tool](https://www.mailslurp.com/tools/dmarc-checker/)

### Email auth checker

Run a combined SPF, DKIM, DMARC, BIMI, MX, MTA-STS, and TLS-RPT check for the affected domain.

[Open tool](https://www.mailslurp.com/tools/email-auth-checker/)

### Email header analyzer

Inspect real messages when a reported sender path needs runtime evidence.

[Open tool](https://www.mailslurp.com/tools/email-header-analyzer/)

### Domain monitor

Move from report review into a faster sender-domain posture summary.

[Open tool](https://www.mailslurp.com/tools/domain-monitor/)

## FAQ

What DMARC report format does this analyzer accept?

This page accepts aggregate DMARC XML so you can summarize total volume, alignment rates, policy outcomes, and the source IPs generating most of the traffic.

What is the fastest way to use the result?

Start with total messages, failed alignment, and the top source list. That usually tells you whether the issue is concentrated in one sender path or spread across multiple systems.

Does this replace DMARC monitoring?

No. This is a one-shot report analyzer. Ongoing monitoring is still the right model when you need recurring visibility and shared operational ownership.

When should teams analyze aggregate reports?

Use them during rollout review, enforcement planning, sender cleanup, and any period where DMARC pass rates or unknown sources need a concrete explanation.