Uses of DNSBLs
- Many MTAs like Exim, Sendmail, and Postfix can be configured to absolutely block or (less commonly) to accept email based on a DNSBL listing. This is the oldest usage form of DNSBLs. Depending on the specific MTA, there can be subtle distinctions in configuration that make list types such as Yellow and NoBL useful or pointless because of how the MTA handles multiple DNSBLs. A drawback of using the direct DNSBL support in most MTAs is that sources not on any list require checking all of the DNSBLs being used with relatively little utility to caching the negative results. In some cases this can cause a significant slowdown in mail delivery. Using White, Yellow, and NoBL lists to avoid some lookups can be used to alleviate this in some MTAs.
- DNSBLs can be used in rule based spam analysis software like Spamassassin where each DNSBL has its own rule. Each rule has a specific positive or negative weight which is combined with other types of rules to score each message. This allows for the use of rules that act (by whatever criteria are available in the specific software) to "whitelist" mail that would otherwise be rejected due to a DNSBL listing or due to other rules. This can also have the problem of heavy DNS lookup load for no useful results, but it may not delay mail as much because scoring makes it possible for lookups to be done in parallel and asynchronously while the filter is checking the message against the other rules.
- It is possible with some toolsets to blend the binary testing and weighted rule approaches. One way to do this is to first check white lists and accept the message if the source is on a white list, bypassing all other testing mechanisms. A technique developed by Junk Email Filter uses Yellow Lists and NoBL lists to mitigate the false positives that occur routinely when using black lists that are not carefully maintained to avoid them.
- Some DNSBLs have been created for uses other than filtering email for spam, but rather for demonstration, informational, rhetorical, and testing control purposes. Examples include the "No False Negatives List," "Lucky Sevens List," "Fibonacci's List," various lists encoding GeoIP information, and random selection lists scaled to match coverage of another list, useful as a control for determining whether that list's effects are distinguishable from random rejections.
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