Filtering and sanitizing a large email domain list involves a multi-faceted approach, combining DNS analysis, syntax validation, and reputation checks. Analyzing DNS records can identify various domain classifications (e.g., parked, invalid MX, localhost) and DNS errors (servfail, nxdomain). Syntax validation ensures addresses conform to RFC standards. Companies can leverage internal resources to script basic DNS filtering. Reputation blocklists (Spamhaus, AbuseIPDB) help identify spam domains and sending IPs. Email validation tools verify existence, activity, and prevent disposable/role-based addresses. SPF and DKIM authentication filters spoofed addresses. Greylisting temporarily rejects emails from unknown senders. DNS policies offer traffic redirection or blocking. Spam trap detection is crucial. Removing hard bounces, disposable domains, and role-based addresses improve deliverability. Finally, utilizing DNSBLs is effective for identifying spamming domains.
9 marketer opinions
To filter and sanitize a large list of email domains, several techniques can be employed. Companies can leverage developers and admins to create scripts for DNS filtering and subsequent analysis. Validating MX records ensures domains can receive emails. Regular expressions can standardize formats and remove invalid characters. Email validation tools confirm email existence, activity, and type (non-disposable, non-role-based). Maintaining a list of disposable domains and removing them is crucial, as is syntax validation. Tracking and removing hard bounces, avoiding role-based emails, and employing spam trap detection services are essential steps for improving deliverability.
Marketer view
Email marketer from NeverBounce shares that removing role-based email addresses (e.g., sales@, info@) can improve deliverability as these addresses often have high bounce rates or are used for spam traps.
16 Dec 2022 - NeverBounce
Marketer view
Email marketer from ZeroBounce explains that using a service that can detect spam traps and remove them from your list is important to improve deliverability and protect sending reputation.
23 Sep 2022 - ZeroBounce
5 expert opinions
Sanitizing a large email domain list involves multiple layers of filtering and validation. Analyzing DNS records can identify various domain classifications like localhost, parked domains, and domains with DNS errors (servfail, nxdomain). Removing syntactically invalid addresses, those not conforming to RFC standards, is crucial. Greylisting, which temporarily rejects emails from unknown senders, helps filter out spammers. Lastly, utilizing DNSBLs is a beneficial technique for filtering email domains, as these lists contain domains and IP addresses known for spamming activities.
Expert view
Expert from Spamresource explains that removing syntactically invalid email addresses (those not conforming to RFC standards) is an essential first step in sanitizing a list. This includes checking for invalid characters, missing @ symbols, and malformed domain names.
30 Apr 2022 - Spamresource.com
Expert view
Expert from Email Geeks explains she is mostly doing this to see what filters are relevant, when they send me lots of data I often go through it.
23 Feb 2025 - Email Geeks
5 technical articles
Filtering and sanitizing large email domain lists can be achieved through various DNS techniques. DNS policies, as highlighted by Microsoft Learn, allow blocking or redirecting traffic based on DNS queries. Spamhaus maintains reputation-based blocklists for identifying spam domains. IETF's documentation emphasizes the use of SPF and DKIM for authenticating email domains and filtering spoofed addresses. AbuseIPDB provides IP reputation checks to identify potential spammers. Finally, DNSFilter offers content filtering and threat protection by blocking access to malicious domains.
Technical article
Documentation from IETF explains that SPF (Sender Policy Framework) and DKIM (DomainKeys Identified Mail) are DNS-based authentication methods that can be used to verify the authenticity of email domains and filter out spoofed addresses.
31 Aug 2024 - IETF
Technical article
Documentation from Microsoft Learn explains that DNS filtering can be implemented using DNS policies, allowing you to block or redirect traffic from specific domains based on DNS queries.
9 Feb 2022 - Microsoft Learn
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