Parse DMARC Reports
This workflow automatically monitors and parses DMARC email reports by decompressing email attachments, extracting XML data, and converting it into structured JSON format, which is then stored in a MySQL database. It supports batch parsing of multiple records and can detect anomalies in DKIM or SPF validation in real-time, automatically sending Slack messages and email notifications to enhance email security and response efficiency. This process helps businesses quickly identify and address email fraud and security issues, streamlining compliance audits and data organization tasks.
Workflow Name
Parse DMARC Reports
Key Features and Highlights
This workflow automates the monitoring and parsing of DMARC (Domain-based Message Authentication, Reporting & Conformance) email reports. It extracts XML-formatted DMARC data from email attachments by decompressing the files, converts the data into structured JSON format, maps and formats the data fields, and finally stores the processed data into a MySQL database. The workflow supports batch parsing of multiple records within a single report and automatically sends Slack messages and email notifications for DKIM or SPF validation failures, enabling timely alerts for potential issues.
Core Problems Addressed
Traditional DMARC reports are complex and primarily formatted in XML, making manual processing cumbersome and error-prone. This workflow automates email reception, attachment decompression, XML parsing, data mapping, and database storage, significantly improving the efficiency of DMARC report handling. Additionally, it provides real-time alerts for email authentication anomalies (such as DKIM and SPF failures), helping organizations quickly identify and respond to email security threats.
Use Cases
- Automated monitoring of DMARC reports by enterprise email security teams to enhance detection of email fraud and phishing attacks
- Integration of email authentication data by DevOps or security operations teams for analyzing email delivery and policy enforcement
- Organizations requiring regular aggregation and storage of DMARC data for compliance audits or security analysis
Main Process Steps
- Email Trigger (IMAP): Monitor a designated mailbox to receive DMARC report emails and their attachments
- Attachment Decompression: Automatically unzip compressed files within the emails
- XML Extraction and Parsing: Extract XML content from decompressed files and convert it to JSON format
- Multi-Record Splitting and Processing: Split and analyze multiple records contained within a single report individually
- Field Renaming and Mapping: Standardize field names and map them into a database-compatible format
- Date Formatting: Convert report date and time formats into MySQL-compatible formats
- Database Insertion: Insert the processed data into MySQL database tables
- Anomaly Detection and Notification: Detect DKIM or SPF validation failures and trigger Slack messages and email alerts (notification nodes are disabled by default and can be enabled as needed)
Involved Systems or Services
- IMAP Mailbox: Receives DMARC report emails
- MySQL Database: Stores parsed DMARC data
- Slack (optional): Sends alerts for validation failures
- Email Sending Service (optional): Sends anomaly notification emails
Target Users and Value
- Email security analysts and operations engineers: Automate large-scale DMARC report processing to save manual parsing time and improve response speed
- Enterprise security teams: Receive real-time notifications of email authentication anomalies to quickly identify email risks
- DevOps teams: Integrate email security monitoring into existing workflows to enhance email system stability and security
- IT compliance personnel: Systematically store DMARC data for easier auditing and report generation
This workflow greatly simplifies the DMARC report processing pipeline and, combined with automated alerting, effectively safeguards the secure operation of enterprise email systems.