Stolen Uber Accounts Are Selling for $1 on the Dark Net
Stolen Uber Accounts Are Selling for a Dollar on the Dark Net, Thousands of Uber accounts are allegedly being sold on the dark web, Uber Accounts Are Selling for $1, hacked Uber Accounts
How will you react when you come to know that your personal details and even your bank details is been on sale? Online security is getting one of the major concerns of today's date.
One of the seller had communicated with Motherboard, and claims to have "thousands" for sale, and even provided a sample of them.
On the post Motherboard reports that it tried to reach one of the users whose email address and password was put up for sale. And respective person had confirmed that the login details were correct.
Motherboard reached, James Allan, sales director for OISG, a technology solutions company, whose emails and deails were on sale. Allan confirmed that the username and password Motherboard had seen were correct, as well as the expiry date on his personal credit card. He doesn’t actually use Uber anymore, and the last trip he booked was in December 2013.ArsTechnica had reported the issue to Uber, but Uber spokesperson Trina Smith said that the company did not find evidence of a breach.
"Bloody hell," Allan said over the phone, when he was told what his password was.
He was "extremely surprised" by the revelation, he said. Allan also said that he doesn’t use the internet much for financial transactions, preferring cash "for this very reason."
Smith said "Attempting to fraudulently access or sell accounts is illegal and we notified the authorities about this report," “This is a good opportunity to remind people to use strong and unique usernames and passwords and to avoid reusing the same credentials across multiple sites and services.”
Earlier in February Uber announced a data breach that resulted in unauthorized access to the driver partner license numbers of roughly 50,000 of its drivers. May the login credentials were also stolen on this breached. But at this time it is unclear that where the data came from and how many users were impacted.