16-Year-Old Researcher Breaks Into Microsoft Analytics Service with Access to 17 Trillion Rows of Data
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A 16-year-old student found a flaw in a Microsoft internal system that could give access to banks with about 17.3 trillion data lines. The researcher, known by the pseudonym "Faav", counted on the help of an artificial intelligence bot developed by him to investigate the problem and got administrator privileges on the platform. The number, however, does not mean that 17 trillion personal information has been leaked. It is an estimate of the volu…
A young prodigy of cybersecurity, a 16-year-old researcher known as Faav discovered a major flaw in Titan, a Microsoft analytics service. By using an access token validation flaw, he granted administrator rights, potentially exposing 17 trillion lines of data, including employee information and analysis of the Bing search engine.
A 17-year-old managed to access a staggering 17 trillion Microsoft records with the help of artificial intelligence. Faav, who is still in school, discovered the vulnerability during an experiment with the Redmond giant's systems. It was reported in... Full version of the page: https://ithardware.pl/aktualnosci/uczen_microsoft_17_bilionow_danych-54466.html
A young 16-year-old researcher identified a flaw in Microsoft's internal software that exposed 17,300 billion lines of data, which he reported to Redmond's firm as part of a "bug bounty" program.
A teenage researcher was assisted by an AI bot to identify a query route whose token validation would have been defective on a Microsoft analytics platform. After reporting the bug, he received a $5,000 reward.
16-year-old researcher breaks into Microsoft analytics service with access to 17 trillion rows of data
A flaw in Titan, an internal Microsoft analytics service, could have let an attacker read employee records and Bing search analytics, a 16-year-old security researcher has disclosed. The researcher, who goes by Faav, found that Titan did not verify the signature on login tokens. That let him pose as the service’s administrator and run SQL queries against 17 connected databases holding an estimated 17.3 trillion rows. He did this with the help of…
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