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Building a Script to Troubleshoot SPF, DKIM, and DMARC Failures Automatically

Building a Script to Troubleshoot SPF, DKIM, and DMARC Failures Automatically

Create a Python script to automate troubleshooting of SPF, DKIM, and DMARC failures by checking email headers and DNS records.

Updated over 3 months ago

When managing email authentication, SPF, DKIM, and DMARC misconfigurations can significantly impact email delivery and security. As email security becomes more critical, being able to quickly identify and resolve issues in these configurations is paramount. In this article, we will guide you through creating a script that automatically detects common SPF, DKIM, and DMARC failures using Python. This script will parse email headers, check DNS records, and report errors, allowing users to easily troubleshoot and fix issues.


Prerequisites

Before we start, make sure you have the following:

  1. Python 3.x installed.

  2. Libraries such as requests, dnspython, and email installed. You can install these via pip:

    bashCopy codepip install requests dnspython
  3. A basic understanding of how SPF, DKIM, and DMARC records work.


Script Overview

The script will perform the following tasks:

  • Parse email headers to extract SPF, DKIM, and DMARC results.

  • Query DNS records for SPF, DKIM, and DMARC.

  • Report errors in a detailed and clear format.

Step 1: Parse Email Headers

We begin by extracting email headers to identify the results of SPF, DKIM, and DMARC checks. Here's a simple function to parse the email headers.

pythonCopy codeimport email def parse_email_headers(raw_email): msg = email.message_from_string(raw_email) headers = msg.items() return dict(headers) raw_email = """Your raw email here""" email_headers = parse_email_headers(raw_email) # Display headers for debugging print(email_headers)

Step 2: Check SPF, DKIM, and DMARC Records

The next step is to check DNS records for SPF, DKIM, and DMARC configurations. We’ll use the dnspython library to query these records.

2.1 Check SPF Record

pythonCopy codeimport dns.resolver def check_spf(domain): try: spf_records = dns.resolver.resolve(domain, 'TXT') for record in spf_records: if 'v=spf1' in record.to_text(): return record.to_text() return "No SPF record found" except dns.resolver.NoAnswer: return "No SPF record found"

2.2 Check DKIM Record

pythonCopy codedef check_dkim(domain, selector): try: dkim_record = dns.resolver.resolve(f"{selector}._domainkey.{domain}", 'TXT') return dkim_record[0].to_text() except dns.resolver.NoAnswer: return "No DKIM record found"

2.3 Check DMARC Record

pythonCopy codedef check_dmarc(domain): try: dmarc_record = dns.resolver.resolve(f"_dmarc.{domain}", 'TXT') return dmarc_record[0].to_text() except dns.resolver.NoAnswer: return "No DMARC record found"

Step 3: Integrating the Checks

Now that we have functions to check each record, we can create a master function to automate the troubleshooting process.

pythonCopy codedef troubleshoot_email(raw_email): email_headers = parse_email_headers(raw_email) from_domain = email_headers.get('From', '').split('@')[-1] spf_result = check_spf(from_domain) dkim_result = check_dkim(from_domain, "default") # Replace "default" with the correct DKIM selector dmarc_result = check_dmarc(from_domain) print(f"SPF Result for {from_domain}: {spf_result}") print(f"DKIM Result for {from_domain}: {dkim_result}") print(f"DMARC Result for {from_domain}: {dmarc_result}") # Test with a raw email raw_email = """Your raw email here""" troubleshoot_email(raw_email)

Step 4: Automating with Scheduled Checks

To automate the troubleshooting process, we can schedule this script to run at specific intervals using task schedulers like cron (Linux) or Task Scheduler (Windows). Here’s a simple cron job that runs the script every hour:

bashCopy code0 * * * * /usr/bin/python3 /path/to/troubleshoot_email.py

Step 5: Handling Errors

To make the script more robust, you should handle errors effectively. For instance, if DNS records are unavailable or the email is malformed, the script should log the error and provide clear feedback.

pythonCopy codeimport logging logging.basicConfig(filename='email_troubleshooting.log', level=logging.DEBUG) def log_error(message): logging.error(message) def troubleshoot_email(raw_email): try: email_headers = parse_email_headers(raw_email) from_domain = email_headers.get('From', '').split('@')[-1] spf_result = check_spf(from_domain) dkim_result = check_dkim(from_domain, "default") dmarc_result = check_dmarc(from_domain) print(f"SPF Result for {from_domain}: {spf_result}") print(f"DKIM Result for {from_domain}: {dkim_result}") print(f"DMARC Result for {from_domain}: {dmarc_result}") except Exception as e: log_error(f"Error troubleshooting email: {e}") print(f"An error occurred. Check the logs for details.")

Conclusion

This script provides an automated way to detect SPF, DKIM, and DMARC failures by parsing email headers and querying DNS records. It’s a powerful tool for administrators to ensure their email authentication configurations are working properly. You can expand this script further by adding more detailed error reporting, integrating with email services, or even triggering alerts if a misconfiguration is detected.

Regularly using this tool will help you maintain email security and improve deliverability by catching and fixing authentication issues early.

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