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Maze Ransomware Operators Targets Antonio Citterio Architetto – Data Leaked

Maze Ransomware Operators Targets Antonio Citterio Architetto – Data Leaked

One more well-known enterprise got targeted by the Maze ransomware operators. In this instance, they hacked the database of Antonio Citterio Architetto and leaked their documents online.

Antonio Citterio, an architect, and product designer founded the multidisciplinary practice with Patricia Viel in the year 1999, which is now one of the design icons. Antonio Citterio Patricia Viel shares a desire to stimulate a new and different way of experiencing space – beyond the structure. An art of living, with a unique micro & macro perspective. Architecture that evokes emotion, stimulates the intellect, reflects qualities of life. Architecture is in dialogue with context and engages people. Their talents have produced an impressive portfolio of hotels, residential premises, commercial projects, and products ranging from furniture to bathroom accessories. Their prolific but considered output has helped to shape a particular design aesthetic and has garnered him a legion of followers in the process. The man himself is a mirror of his design integrity: erudite, eloquent and humorous, not exactly self-effacing but with a humility that is unexpected and endearing. To date, the enterprise has won many awards such as in the year 2018 the enterprise received 1st prize in the International Competition in Italy, in the year 2016 the enterprise received 1st prize in the international competition in Taiwan, and many more.

Below is the message posted been posted by the Maze ransomware operators on their website-:

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The Cyble Research Team has verified and reported this data leak of around 9GB, which includes important enterprise documents such as construction plans, architecture designs, project detailed documents, and many more. Below are the snapshots of some of the leaked documents from the large lot.

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About Cyble:

Cyble Inc.’s mission is to provide organizations with a real-time view of their supply chain cyber threats and risks. Their SaaS-based solution powered by machine learning and human analysis provides organizations’ insights to cyber threats introduced by suppliers and enables them to respond to them faster and more efficiently.

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Cyble strives to be a reliable partner/facilitator to its clients allowing them with unprecedented security scoring of suppliers through cyber intelligence sourced from open and closed channels such as OSINT, the dark web, and deep web monitoring and passive scanning of internet presence. Furthermore, the intelligence clubbed with machine learning capabilities fused with human analysis also allows clients to gain real-time cyber threat intel and help build better and stronger resilience to cyber breaches and hacks. Due to the nature of the collected data, the company also offer threat intelligence capabilities out-of-box to their subscribers.

Disclaimer: This blog is based on our research and the information available at the time of writing. It is for informational purposes only and does not constitute legal, financial, or professional advice. While we strive for accuracy, we do not guarantee the completeness or reliability of the content. If any sensitive information has been inadvertently included, please contact us for correction. Cyble is not responsible for any errors, omissions, or decisions made based on this content. Readers should verify findings and seek expert advice where necessary. All trademarks, logos, and third-party content belong to their respective owners and do not imply endorsement or affiliation. All content is presented “as is” without any guarantee that it is free of confidential, proprietary, or otherwise sensitive information. If you believe any portion of this content contains inadvertently shared or sensitive data, please contact us immediately so that we may address and rectify the issue. No Liability for Errors or Omissions Due to the dynamic nature of cyber threat activity, this [blog/report/article] may include partial, outdated, or otherwise incorrect information due to unverified sources, evolving security threats, or human error. We expressly disclaim any liability for errors or omissions or any potential consequences arising from the use, misuse, or reliance on this information.

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