How to identify which spam filter a company uses without directly asking them?

Summary

Identifying a company's spam filter without direct inquiry requires a comprehensive approach. Key techniques include examining MX records and conducting DNS lookups to identify potential filtering services like Proofpoint or Mimecast. Analyzing bounce codes and SMTP error codes can offer insights into rejection reasons, while seed lists help test deliverability across different providers. Sender reputation checks, monitoring blacklists (e.g., Spamhaus, Barracuda), and verifying SPF, DKIM, and DMARC records are crucial. Analyzing email content for spam triggers, performing inbox placement tests, and gradually warming up IP addresses are also recommended. Analyzing bounce email headers for clues such as 'X- एंटी-spam' and utilizing RBL lookups and setting up feedback loops with ISPs can provide additional insights. The complexity increases when O365 with connectors is involved, requiring a multi-faceted investigation.

Key findings

  • MX Record Analysis: Checking MX records via DNS query tools can identify filtering services (e.g., Proofpoint, Mimecast, Barracuda).
  • Bounce Code Analysis: Analyzing bounce codes provides clues about why emails are blocked.
  • SMTP Error Codes: SMTP error codes in bounce messages offer details about rejection reasons, indicating triggered spam filter rules.
  • Seed List Testing: Seed lists help identify if specific filters are blocking emails by analyzing delivery rates.
  • Reputation Checks: Checking sender reputation is essential as poor reputation leads to email blocking.
  • Blacklist Monitoring: Monitoring blacklists reveals if the IP/domain is listed, indicating blocking services.
  • Authentication Records: Correct SPF, DKIM, and DMARC configurations prevent authentication failures and spam flagging.
  • Content Analysis: Analyzing content for spam triggers helps avoid being flagged.
  • Inbox Placement Tests: Inbox placement tests determine if emails land in the inbox, spam folder, or are blocked.
  • Bounce Email Headers: Bounce email headers contain clues about the spam filter (e.g., 'X- एंटी-spam').
  • RBL Lookups: RBL lookups identify if your IP is listed due to spam activities.
  • Feedback Loops: Feedback loops with ISPs provide spam complaint data.
  • Microsoft EOP: Check for message headers indicating that the email was flagged by Microsoft Exchange Online Protection.
  • Cisco Talos: Determine if your domain/IP is being blocked by Cisco Talos.
  • Spamhaus: Determine if your domain/IP is being blocked by Spamhaus.
  • Barracuda: Determine if your domain/IP is being blocked by Barracuda.

Key considerations

  • MX Record Limitations: MX records only show the initial mail server; additional filters may apply afterward.
  • False Positives: Bounce codes and blacklists can give misleading results due to false positives.
  • Dynamic Filtering: Spam filters update rules dynamically.
  • Content Impact: Even with good configurations, poor content triggers filters.
  • Gradual IP Warmup: Sudden spikes in volume can trigger filters; warm up IP addresses gradually.
  • O365 Complexity: O365 with connectors adds complexity due to third-party filtering.
  • Technical Expertise: Setting up feedback loops and interpreting SMTP error codes requires technical expertise.

What email marketers say
10Marketer opinions

Identifying the specific spam filter used by a company without directly asking involves a multi-faceted approach. Techniques include analyzing MX records to identify filtering services, examining bounce codes for clues about rejection reasons, and using seed lists to test deliverability across various email providers. Checking sender reputation, blacklists, and ensuring proper SPF, DKIM, and DMARC configurations are crucial. Content analysis, inbox placement tests, and warming up your IP address further contribute to understanding and mitigating spam filtering issues.

Key opinions

  • MX Record Analysis: Checking MX records via DNS query tools can reveal the filtering service in use (e.g., Proofpoint, Mimecast, Barracuda).
  • Bounce Code Analysis: Analyzing bounce codes provides clues about why emails are blocked, potentially indicating the spam filter's rules.
  • Seed List Testing: Using seed lists helps identify if specific spam filters are blocking emails by analyzing delivery rates across different providers.
  • Reputation Checks: Checking sender reputation via tools is important as poor reputation can lead to emails being blocked.
  • Blacklist Monitoring: Monitoring common email blacklists can reveal if your IP/domain is listed, indicating which services are blocking you (e.g., Spamhaus, Barracuda).
  • Authentication Records: Ensuring correct SPF, DKIM, and DMARC configurations prevents authentication failures that trigger spam filters.
  • Content Analysis: Analyzing email content for spam-triggering keywords helps avoid being flagged as spam.
  • Inbox Placement Tests: Performing inbox placement tests helps determine if emails are landing in the inbox, spam folder, or being blocked.
  • O365 Connector Complexity: If the recipient uses O365 with a connector, identifying the specific filter becomes more complex as O365 may pass the email to a third-party filter.

Key considerations

  • MX Record Limitations: MX records provide the initial destination, but additional filters may be applied after initial acceptance.
  • False Positives: Bounce codes and blacklists can sometimes give misleading results due to false positives.
  • Dynamic Filtering: Spam filters dynamically update their rules, meaning what works today might not work tomorrow.
  • Content Impact: Even with perfect configuration and reputation, poor content can trigger spam filters.
  • Gradual IP Warmup: Sudden spikes in email volume can trigger spam filters, so gradually warm up your IP address.
Marketer view

Email marketer from SendPulse shares that using seed lists (sending emails to a list of test accounts with different email providers) can help identify if specific spam filters are blocking emails. By analyzing which seed accounts receive or block the emails you can get an indication of the spam filter used.

July 2024 - SendPulse
Marketer view

Email marketer from Mailjet explains that analyzing bounce codes can provide clues about why emails are being blocked, potentially indicating which spam filter is in use. Specifically look for codes relating to content or reputation rejections.

May 2023 - Mailjet
Marketer view

Email marketer from Neil Patel's Blog suggests using tools to check your sender reputation, as many spam filters block emails from senders with poor reputations.

January 2022 - Neil Patel's Blog
Marketer view

Email marketer from Reddit user u/EmailExpert shares checking common email blacklists to see if your sending IP or domain has been listed. If you find yourself on specific blacklists (like Spamhaus or Barracuda), it may indicate the filtering service the recipient is using.

April 2024 - Reddit
Marketer view

Marketer from Email Geeks explains that it becomes more challenging if it's connected to O365 via a connector, where O365 accepts the email and then passes it to a third-party filter before acting. Recommends first checking the MX records.

February 2024 - Email Geeks
Marketer view

Email marketer from Litmus shares advice on performing inbox placement tests to identify if emails are landing in the inbox, spam folder, or being blocked. Analyzing the results can help pinpoint which email providers are filtering your emails.

October 2024 - Litmus
Marketer view

Email marketer from StackExchange explains to check SPF, DKIM, and DMARC records. Incorrectly configured records can cause emails to fail authentication checks, which might get flagged by spam filters.

April 2021 - StackExchange
Marketer view

Email marketer from Gmass suggests gradually increasing your sending volume to build a positive sending reputation. A sudden spike in email volume can trigger spam filters.

July 2024 - Gmass
Marketer view

Email marketer from Email Marketing Forum user SpamSlayer suggests analyzing your email content for commonly flagged keywords or phrases often associated with spam. Modify your content and resend test emails to see if the issue persists.

June 2023 - Email Marketing Forum
Marketer view

Marketer from Email Geeks suggests checking the MX records using a DNS query tool. Then Google what it resolves to, to see if it's a filtering service like Proofpoint, Mimecast, or Barracuda.

April 2024 - Email Geeks

What the experts say
2Expert opinions

Identifying a company's spam filter indirectly involves analyzing bounced email headers for clues like 'X- एंटी-spam' to understand the type of anti-spam system used. Additionally, utilizing RBL lookups helps determine if your IP is blacklisted due to spam activities, while setting up feedback loops with ISPs provides data on spam complaints to identify deliverability issues.

Key opinions

  • Header Analysis: Analyzing bounced email headers can reveal the presence and type of anti-spam systems in use.
  • RBL Lookups: RBL lookups can identify if your IP is listed due to spam activities.
  • Feedback Loops: Setting up feedback loops with ISPs provides data on spam complaints, helping identify deliverability issues.

Key considerations

  • Header Variability: Header information might vary across different anti-spam systems, requiring familiarity with common header formats.
  • RBL Listing Impact: Being listed on an RBL can significantly impact deliverability, requiring prompt action to resolve the listing.
  • Feedback Loop Setup: Setting up and managing feedback loops requires technical expertise and coordination with various ISPs.
Expert view

Expert from Word to the Wise, Laura Atkins, explains that one indirect method is to analyze the headers of bounced emails. Look for clues such as 'X- एंटी-spam' or similar headers that indicate the presence and type of anti-spam system being used.

July 2022 - Word to the Wise
Expert view

Expert from Spam Resource explains utilizing RBL (Real-time Blackhole List) lookups and setting up feedback loops. RBLs help identify if your IP is listed due to spam activities. Feedback loops from ISPs provide data on spam complaints, helping pinpoint issues.

August 2023 - Spam Resource

What the documentation says
5Technical articles

Identifying spam filters involves analyzing SMTP error codes from bounce messages for rejection reasons, using message headers to check if Exchange Online Protection (EOP) flagged emails as spam, and verifying IP/domain status on blocklists like Cisco Talos, Spamhaus, and Barracuda. These resources provide insights into which spam filter's rules were triggered or which blocklist is causing rejections.

Key findings

  • SMTP Error Codes: SMTP error codes in bounce messages offer details about rejection reasons, potentially indicating which spam filter's rules were triggered.
  • Exchange Online Protection (EOP): Examining message headers can reveal if EOP flagged the email as spam, indicating its use.
  • Cisco Talos Blocklists: Cisco Talos provides reputation services; if your IP/domain is on their blocklist, the recipient likely uses Cisco security products.
  • Spamhaus Blocklists: Being on a Spamhaus blocklist means many organizations using their data feed will reject your emails.
  • Barracuda BRBL: If blocked by Barracuda Reputation Block List (BRBL), Barracuda's systems identified your IP as a spam source.

Key considerations

  • Error Code Interpretation: Interpreting SMTP error codes requires understanding of RFC 5321 and related standards.
  • EOP Reliance: Determining EOP's use relies on examining message headers, which might not always be conclusive.
  • Blocklist Removals: Being on a blocklist requires understanding the removal process for each specific service (e.g., Cisco Talos, Spamhaus, Barracuda).
  • Third-Party Feeds: Organizations might use other security vendors' feeds, so checking multiple blocklists is advisable.
Technical article

Documentation from RFC 5321 explains that SMTP error codes (found in bounce messages) can provide specific details about why an email was rejected, offering insight into which spam filter's rules were triggered. Look for 5xx codes for permanent failures and examine the accompanying text.

October 2021 - RFC 5321
Technical article

Documentation from Barracuda explains that if you're blocked by Barracuda Reputation Block List (BRBL), it means Barracuda's systems have identified your IP as a source of spam. Check their site for removal requests.

April 2021 - Barracuda
Technical article

Documentation from Microsoft Learn details how Exchange Online Protection (EOP) filters inbound emails, including spam filtering techniques. Examining message headers can reveal whether EOP flagged the email as spam, indicating its use.

August 2023 - Microsoft Learn
Technical article

Documentation from Spamhaus details their various blocklists and how to check if your IP address or domain is listed. Being on a Spamhaus blocklist means many organizations using their data feed will reject your emails.

January 2025 - Spamhaus
Technical article

Documentation from Cisco Talos details how their reputation services work and how to check if your IP address or domain is on their blocklists. If Talos is blocking you, the recipient organization is likely using Cisco's security products.

December 2021 - Cisco Talos