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Berlin Ransomware Leak Exposes State Secrets

Security Affairsby Pierluigi Paganini ()3 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Rhysida ransomware leaked 5.79 TB of Berlin state government data on the dark web after the city refused a 30 Bitcoin ransom.

The Rhysida ransomware group published 5.79 TB (about 1.44 million files) of Berlin state administration data on its leak site on August 28, 2026, after the city-state refused a 30 Bitcoin ransom. The claimed dataset includes personal data on 12,076 individuals, over 5,000 personnel files, payroll records, plaintext credentials for systems like PAYONE and Z_ADMIN, Bundesrat committee protocols, and documents allegedly containing state secrets. Leaked material reportedly covers national defense emergency plans, federal secret communication channels, a CBRN threat planning folder, and vulnerability analyses of Berlin's water supply. Berlin's government has activated a central crisis unit to review the leaked data and notify affected citizens and businesses.

Key facts
  • Rhysida claims 5.79 TB / 1.44M files stolen from Berlin's administration
  • Ransom demand was 30 Bitcoin; the city-state refused to pay
  • Leak includes CBRN planning, defense emergency plans, and alleged state secrets
  • PII of 12,076 individuals, IBANs, passports, and plaintext passwords exposed
  • Berlin activated a central crisis unit to assess and verify the leak
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From the original article

3 min read at securityaffairs.com

Berlin refused a 30 Bitcoin ransom, leading hackers to leak 6TB of sensitive state administration and national defense data on the dark web. When a ransomware gang dumps nearly six terabytes of state administration files onto the dark web, ignoring them does not make the problem go away. The Rhysida ransomware group recently carried out […]

Security Affairs

By Pierluigi Paganini · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.