Parse DMARC reports

用于Parse DMARC reports，自动化监控和解析DMARC报告，提取关键信息并存入数据库，确保邮件身份验证的合规性，及时通知DKIM或SPF失败，提升邮件安全性和管理效率。

7/8/2025
20 nodes
Complex
w055qeefrp6zyncremailcomplexemailreadimapmysqlrenamekeyssticky notecompressionextractfromfilesplitoutslackemailsendadvancednotificationlogicconditionaldatabasedatafilesstorageparsingcommunication
Categories:
Communication & MessagingComplex WorkflowData Processing & AnalysisEmail Triggered
Integrations:
EmailReadImapMySQLRenameKeysSticky NoteCompressionExtractFromFileSplitOutSlackEmailSend

Target Audience

  • Email Administrators: Those responsible for monitoring DKIM and SPF reports to ensure email deliverability and security.
    - Data Analysts: Professionals who need to analyze DMARC reports for trends and issues in email authentication.
    - IT Security Teams: Teams focused on maintaining email security and compliance with DMARC policies.
    - Developers: Individuals looking to integrate email reporting into their applications or systems for better visibility.

    • Problem Solved

    This workflow automates the parsing and processing of DMARC reports, which can be complex and time-consuming to handle manually. It addresses issues such as:
    - Email Deliverability: Ensures that emails are being authenticated correctly to improve deliverability rates.
    - Security Monitoring: Identifies potential security issues related to DKIM and SPF failures, allowing for timely responses.
    - Data Management: Automatically stores parsed report data into a MySQL database for further analysis and reporting.

    Workflow Steps

  • Email Trigger: The workflow is initiated by receiving an email containing DMARC reports.
    - Unzip File: Any attached zip files are extracted for further processing.
    - Extract XML Data: The workflow extracts XML data from the unzipped files.
    - Parse XML to JSON: The extracted XML data is converted into a JSON format for easier handling.
    - Conditional Logic: The workflow checks if multiple records exist in the parsed data to handle them accordingly.
    - Map Fields: Relevant fields are mapped for database input, including organization name, date ranges, and domain information.
    - Format Dates: Dates are formatted to a MySQL-compatible format.
    - Input into Database: The parsed and formatted data is inserted into a MySQL database for storage.
    - Notification: If any issues with DKIM or SPF are detected, notifications are sent via Slack and email to alert the relevant stakeholders.

    • Customization Guide

  • Email Configuration: Users can customize the email trigger settings to monitor different mailboxes or adjust the download options for attachments.
    - Database Connection: Modify the MySQL connection settings to point to the appropriate database or table structure as per the organization’s requirements.
    - Notification Settings: Adjust the Slack channel and email recipient settings to ensure that alerts go to the right teams.
    - Field Mapping: Users can add or modify the field mappings in the Map fields for DB input and parse node to align with their specific data requirements.
    - Error Handling: Customize the conditions for error notifications to include additional checks or different channels for alerts.