Microsoft Server Software Comes Under Widespread Cyberattack.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Microsoft Server Software Comes Under Widespread Cyberattack.
Συγγραφείς: Anderson, Mark (AUTHOR), Lee, Jane Lanhee (AUTHOR)
Πηγή: Bloomberg.com. 7/20/2025, pN.PAG-N.PAG. 1p.
Θεματικοί όροι: *SharePoint (Computer software), *Legal liability, *Security systems, *Complex organizations, *Ransomware, Microsoft software, Internet security
Γεωγραφικοί όροι: United States
Εταιρία/Οντότητα: Microsoft Corp. 081466849 MSFT
Περίληψη: The article focuses on a cybersecurity threat targeting Microsoft Corp.'s server software, particularly SharePoint servers, which has led to widespread security breaches globally. Microsoft has issued a security patch to mitigate these attacks, which the US Cybersecurity and Infrastructure Security Agency has acknowledged as a significant vulnerability allowing unauthorized access and code execution. Cybersecurity experts warn that over 10,000 organizations, primarily in the US, are at risk, with the potential for exploitation by ransomware operators. The breach has reportedly impacted various sectors, including federal and state agencies, universities, and energy companies. [Extracted from the article]
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Βάση Δεδομένων: Business Source Index
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  Data: The article focuses on a cybersecurity threat targeting Microsoft Corp.'s server software, particularly SharePoint servers, which has led to widespread security breaches globally. Microsoft has issued a security patch to mitigate these attacks, which the US Cybersecurity and Infrastructure Security Agency has acknowledged as a significant vulnerability allowing unauthorized access and code execution. Cybersecurity experts warn that over 10,000 organizations, primarily in the US, are at risk, with the potential for exploitation by ransomware operators. The breach has reportedly impacted various sectors, including federal and state agencies, universities, and energy companies. [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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