In October 2020, a security researcher published a technique for scraping large volumes of data from Gravatar, the service for providing globally unique avatars. 167 million names, usernames and MD5 hashes of email addresses used to reference users' avatars were subsequently scraped and distributed within the hacking community. 114 million of the MD5 hashes were cracked and distributed alongside the source hash, thus disclosing the original email address and accompanying data.
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Online avatar service Gravatar allows mass collection of user info
A user enumeration method discovered by an Italian security researcher Carlo Di Dato demonstrates how can Gravatar data be easily scraped by web crawlers and bots.
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