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NetWalker Ransomware Operators Targets Stellar Corporation, Leading Customer Experience Management Organisation

NetWalker Ransomware Operators Targets Stellar Corporation, Leading Customer Experience Management Organisation

Here comes another data leak being published by the NetWalker ransomware operators. In this instance, they targeted Stellar, which leading customer experience management organisation, operating across Australia, Asia, North America and Africa.

Stellar is the leading customer experience organisation, operating across Australia, Asia, North America, and Africa. They design and deploy solutions anchored around the delivery of exceptional customer experiences through our Customer Management, Consulting, and Intelligent Automation businesses.  For over 20 years, they have designed solutions that respond to the changing needs and expectations voiced by customers and employees alike. Organisations turn to them for help in converting their customer needs into actions. Understanding their client’s strategic drivers and business goals enables us to deliver the right solution as a trusted partner, augmenting people with technology to bring out the best in both. With expertise across multiple industries and key business functions, they deliver outstanding experiences, driving innovation to improve the way business is done.

Below is the message posted by the NetWalker ransomware operators on their online blog-:

Screen Shot 2020 05 26 at 12.48.31 pm

The Cyble Research Team has identified and verified the data leak. Currently, the ransomware operators have leaked a sample of the data leak and It seems that if the organisation does not make an agreement with the ransomware operators, then their sensitive data would be leaked online within a couple of days. Below are the snapshots of the sample of data leak of Stellar corporation.

Screen Shot 2020 05 26 at 12.52.07 pm
Screen Shot 2020 05 26 at 12.50.21 pm
Screen Shot 2020 05 26 at 12.49.56 pm

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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