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Information of 1.9 Million members of Chinese Communist Party Members leaked

Information of 1.9 Million members of Chinese Communist Party Members leaked

In the course of our routine Dark web monitoring, the Research team at Cyble found the post on a Russian-speaking forum where details of 1.9 million members of Chinese Communist Party was leaked in a ~293 MB CSV file for free.

Some of the personal information data fields from the lot are mentioned below–

  1. Name
  2. Sex
  3. Ethnicity
  4. Organization
  5. Hometown
  6. ID
  7. Address
  8. Mobile Number
  9. Phone Number
  10. Education

People who are concerned about their information exposure can register on Cyble’s data breach monitoring and notification platform, AmiBreached.com, to ascertain the risks at no cost. Also, Android users (Link) and iOS users (Link) can gain full access to it just by downloading the mobile application.

Here are a few ways to prevent cyber-attacks:

About Cyble

Cyble is a global threat intelligence SaaS provider that helps enterprises protect themselves from cybercrimes and exposure in the darkweb. Cyble’s prime focus is to provide organizations with real-time visibility into their digital risk footprint. Backed by Y Combinator as part of the 2021 winter cohort, Cyble has also been recognized by Forbes as one of the top 20 Best Cybersecurity Startups To Watch In 2020. Headquartered in Alpharetta, Georgia, and with offices in Australia, Singapore, and India, Cyble has a global presence. To learn more about Cyble, visit www.cyble.io. 

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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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