Automate DMARC Report Parsing & Database Storage
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Tired of manually sifting through DMARC reports? This workflow automatically retrieves DMARC aggregate reports from your inbox, extracts crucial email authentication data, and stores it in your MySQL database. Gain instant visibility into your email deliverability and potential spoofing attempts without lifting a finger.
About This Workflow
This powerful n8n workflow provides an end-to-end solution for automating your DMARC report analysis. It begins by actively monitoring a designated email inbox for incoming DMARC aggregate reports, which are typically sent as XML attachments. Upon receipt, the workflow intelligently parses this data, extracting vital information such as sending organization details, date ranges, sending domains, source IPs, mail counts, and DMARC policy evaluations (SPF, DKIM, disposition). All extracted data is then meticulously formatted and structured before being securely stored in a dedicated MySQL database table. This comprehensive automation frees up your team from tedious manual processing, enabling proactive monitoring of email security and compliance directly from your own data repository.
Key Features
- Automated Email Monitoring: Automatically fetches DMARC reports from a specified IMAP inbox.
- Intelligent DMARC Parsing: Extracts key data points like
org_name,domain,source_ip,mail_count,SPF/DKIMresults, and policy dispositions. - Flexible Data Transformation: Formats date ranges and structures complex report data for consistent database storage.
- Robust Database Integration: Stores all parsed DMARC insights into a MySQL database for centralized analysis and long-term archiving.
- Conditional Processing: Handles reports with single or multiple records, ensuring comprehensive data capture.
How To Use
- Configure Email Trigger (IMAP):
- Add your IMAP email account credentials.
- Specify the folder where your DMARC reports are received (e.g.,
INBOX). - Ensure
Download Attachmentsis enabled, as DMARC reports are typically XML attachments.
- Add DMARC Report Parsing Nodes:
- Note: This template snippet focuses on processing parsed data. After the
Email Trigger, you will likely need to add aDecompressnode (for GZIP/ZIP, as DMARC XMLs are often compressed) followed by anXMLnode to parse the attachment content into a structured format likefeedbackandfbrfor the subsequent nodes to operate on.
- Note: This template snippet focuses on processing parsed data. After the
- Adjust 'If multiple records to parse':
- This node checks for the existence of records. Ensure its condition
{{ $json.feedback.record[0] }}correctly references your parsed DMARC report structure.
- This node checks for the existence of records. Ensure its condition
- Review 'Map fields for DB input and parse':
- Carefully check the
Setnode mappings to ensure they align with the structure of your parsed DMARC reports and your desired database fields. Adjust expressions if your report's output structure differs.
- Carefully check the
- Configure Date Formatting Nodes ('Begin format date', 'End date format'):
- Verify the
customFormat(e.g.,yyyy-MM-dd hh:mm:ss) matches your preferred date format for database storage.
- Verify the
- Set up 'Input into database' (MySQL):
- Provide your MySQL database credentials.
- Confirm the
Tablename isdmarc(or your preferred table name). - Ensure the
Values to Sendcolumns and corresponding n8n expressions ({{ $json.full_data.toJsonString() }},{{ $json.org_name }}, etc.) accurately map to your database schema.
Apps Used
Workflow JSON
{
"id": "c38c5c1b-85e7-4e45-b632-467d99a36980",
"name": "Automate DMARC Report Parsing & Database Storage",
"nodes": 28,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c38c5c1b-85e7...
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