Dutch Cyber Worker Allegedly Moonlit As ShinyHunters Hacker.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Dutch Cyber Worker Allegedly Moonlit As ShinyHunters Hacker.
Συγγραφείς: Gallagher, Ryan (AUTHOR)
Πηγή: Bloomberg.com. 9/29/2026, pN.PAG-N.PAG. 1p.
Θεματικοί όροι: *Computer hacking, *Computer crimes, *Computer hackers, *Cybercriminals, *Data security failures, Extortion
Περίληψη: The article reports on the arrest of Pepijn van der Stap, a 24-year-old Dutch man, on suspicion of involvement with the cybercrime group ShinyHunters, which has been active since 2019 and is known for data theft and extortion. Van der Stap, who previously worked as chief technology officer at Neo Security, was charged with several cases of extortion and criminal hacking, though it is unclear if he was involved in the group's alleged hack of the FBI. The article notes that ShinyHunters has claimed responsibility for numerous high-profile incidents, including attacks on major companies like AT&T and Amazon, and has been linked to over 160 victims since 2024. [Extracted from the article]
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Βάση Δεδομένων: Business Source Index
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  Data: The article reports on the arrest of Pepijn van der Stap, a 24-year-old Dutch man, on suspicion of involvement with the cybercrime group ShinyHunters, which has been active since 2019 and is known for data theft and extortion. Van der Stap, who previously worked as chief technology officer at Neo Security, was charged with several cases of extortion and criminal hacking, though it is unclear if he was involved in the group's alleged hack of the FBI. The article notes that ShinyHunters has claimed responsibility for numerous high-profile incidents, including attacks on major companies like AT&T and Amazon, and has been linked to over 160 victims since 2024. [Extracted from the article]
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  Data: <i>Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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