The Spamhaus Project

Domain Reputation

Almost every connection made on the internet involves a domain name: DNS and domain names are a fundamental piece of internet architecture. Our thorough analysis of a domain's use, behavior and activity builds a unique in-depth picture of that domain. This context and insight is invaluable when looking at domain names in a security or reputational context.

Check a domain's reputation

What is domain reputation?

The reputation of a domain captures the who, what, where and when of the domain.

All these rich datapoints are used to indicate if, when, and how to engage with the domain.

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How is the Domain Reputation Score calculated?

To assess the reputation of a domain, Spamhaus uses both signal intelligence (SIGINT) and open source intelligence (OSINT) techniques. These include a combination of machine learning, heuristics, and manual investigations.

To ensure the accuracy and reliability of domain reputation, Spamhaus relies on a diverse range of data points from various sources. Over the past 25 years, Spamhaus has built trusted data partnerships that enabling access to important data for visibility and coverage. As a result, the reputation data generated is robust, reliable, and widely trusted in the industry.

What impacts a domain's reputation?

Any online activity that is associated with a domain leaves a "fingerprint* from which signal can be extracted to determine the reputation of the domain.

  • Who owns it
  • Where was it registered
  • When it was registered
  • Who is the registry
  • When was it used
  • What infrastructure is it associated with
  • How was it used

Researchers like Spamhaus use this signal to determine how safe a domain is to engage with. It’s important for Internet users to understand that all online behavior affects domain reputation.

How can domain reputation data be utilized?

  • Reporting - e.g. can I trust this operator to host my domain?
  • Investigating - e.g. what malware is associated with this domain
  • Vetting - e.g. can I trust this domain on my network?
  • Blocking - e.g. blocking users from visiting phishing websites.
  • Filtering - e.g. filtering potentially malicious
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Reputation Data
Domain Reputation
Domain Reputation