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The data leak has occurred due to incorrect configuration of Elasticsearch servers.
A database containing more than 200 million records of users of Twitter and Weibo microblogging services was found on the Web. This was reported by the telegram channel "Data Leaks".
The data is a parsing of social network profiles and in fact contains only the information that users themselves have left about themselves. In the case of Twitter, 44,028,450 profiles were found, while Weibo found 164,575,053 profiles. The collected data is stored in a cluster of 21 servers. Currently, the collection and updating of data on the server continues.
The data leak was reportedly due to misconfiguration of Elasticsearch servers owned by the Chinese company CYYUN.
This is not the first major social media user data breach discovered this week. Earlier, Comparitech's specialists discovered an unprotected database on the Web containing about 235 million user profiles of Instagram, TikTok and YouTube. The dataset contained information extracted from public profiles, including logins, full usernames, contact information, images, statistics on the number of subscribers, data on age, gender, etc.
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A database containing more than 200 million records of users of Twitter and Weibo microblogging services was found on the Web. This was reported by the telegram channel "Data Leaks".
The data is a parsing of social network profiles and in fact contains only the information that users themselves have left about themselves. In the case of Twitter, 44,028,450 profiles were found, while Weibo found 164,575,053 profiles. The collected data is stored in a cluster of 21 servers. Currently, the collection and updating of data on the server continues.
The data leak was reportedly due to misconfiguration of Elasticsearch servers owned by the Chinese company CYYUN.
This is not the first major social media user data breach discovered this week. Earlier, Comparitech's specialists discovered an unprotected database on the Web containing about 235 million user profiles of Instagram, TikTok and YouTube. The dataset contained information extracted from public profiles, including logins, full usernames, contact information, images, statistics on the number of subscribers, data on age, gender, etc.
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