LinkedIn 700mn user’s data breach soon to be sale on Dark web
Recently, the professional networking platform faced a massive data leak of 500 million users that is allegedly being sold online. According to the report, the data breach includes information such as names, email addresses, phone numbers, and industry information. According to a report released by Restore Privacy, the business-oriented platform suffered a huge breach, exposing data belonging to over 700 million of its users. This number accounts for roughly 92% of its user base.LinkedIn has suffered a massive data breach, allegedly affecting 700 million users, but the company has denied any private data was exposed.
The breach was reported by RestorePrivacy, an online portal focused on online privacy and security-related news. According to the website, a user of a popular hacker forum advertised data from 700 million LinkedIn users for sale on June 22.
Previous attacks
Recently, the professional networking platform faced a massive data leak of 500 million users that is allegedly being sold online. According to the report, the data breach includes information such as names, email addresses, phone numbers, and industry information. According to a report released by Restore Privacy, the business-oriented platform suffered a huge breach, exposing data belonging to over 700 million of its users. This number accounts for roughly 92% of its user base.
The user of the forum posted a sample of the data that includes 1 million LinkedIn users, which includes data such as email addresses, full names, phone numbers, physical addresses, geolocation records, LinkedIn username and profile URL and other information. Scraping is essentially the process of using an application to extract valuable information from a website. This is one of the primary methods both spammers and scammers use to find new targets.
Dark Web
However, the professional networking site has denied it, said a media report. The sample dataset that has been published on the Dark Web includes user information like email addresses, full names, phone numbers, physical addresses, geolocation records, LinkedIn username, and profile URL, inferred salaries, personal and professional experience/ background, gender, and social media accounts and usernames.