How does Spamhaus use spamtrap data?
Spamhaus analyses over 7 billion data points every 24 hours. Included in this vast repository is spamtrap data. Wonderfully rich spamtrap data. Data such as URLs, email addresses within the message body, reply-to email addresses and attachments. Data points that wouldn’t otherwise be available and can be used to produce reputation data and detections.
That being said, it’s important to note that not every message that hits a spamtrap is classified as spam. Due to the type of spamtrap, its creation and how it has been maintained over time, some messages may not be suspicious or malicious. As a result, spamtrap data is sometimes used for visibility and to provide additional context only.