Executive Summary

In August 2026, the Rhysida ransomware group successfully infiltrated Berlin's state administrative network, exfiltrating 5.79 terabytes of data including personal information on over 12,000 individuals between August 7-12. The attackers gained initial access through compromised VPN credentials and deployed double extortion tactics, demanding ransom payment while threatening to leak stolen government data. Berlin's leadership, including Governing Mayor Kai Wegner, publicly refused to pay the ransom despite ongoing extortion attempts, maintaining operations while conducting forensic investigation with federal authorities.

This incident highlights the continued evolution of ransomware groups targeting critical government infrastructure, particularly as threat actors like Rhysida increasingly focus on high-profile public sector victims to maximize pressure and potential payouts through leaked sensitive citizen data.

Why This Matters Now

Government ransomware attacks are escalating globally, with threat actors specifically targeting public sector entities to exploit their responsibility to protect citizen data and maintain critical services, making robust zero trust architectures and egress controls essential for municipal cybersecurity.

Attack Path Analysis

Related CVEs

MITRE ATT&CK® Techniques

Potential Compliance Exposure

Sector Implications

Sources

Frequently Asked Questions

The attackers used compromised VPN credentials to authenticate to internal systems, exploiting organizations lacking multi-factor authentication enabled by default.

Cloud Native Security Fabric Mitigations and ControlsCNSF

Based on the attack progression modeled above, these are the defensive controls that would constrain each stage.

Aviatrix Zero Trust CNSF would have significantly constrained the Rhysida ransomware group's ability to move laterally across Berlin's government network and reduced the scale of data exfiltration through workload segmentation and controlled egress policies.

Initial Compromise

Control: Cloud Native Security Fabric (CNSF)

Mitigation: Cloud native security fabric would likely have limited the initial compromise scope by providing identity-aware access controls and reducing the attack surface of external-facing services through secure cloud connectivity patterns.

Privilege Escalation

Control: Zero Trust Segmentation

Mitigation: Zero trust segmentation would likely have constrained privilege escalation by limiting cross-workload access and reducing the blast radius of domain controller compromise through microsegmentation of critical infrastructure components.

Lateral Movement

Control: East-West Traffic Security

Mitigation: East-west traffic enforcement would likely have significantly reduced lateral movement capabilities by constraining inter-departmental network access and limiting reachability between government workloads through granular segmentation policies.

Command & Control

Control: Multicloud Visibility & Control

Mitigation: Multicloud visibility and control mechanisms would likely have detected and constrained persistent command channels through anomalous traffic pattern recognition and reduced the scope of coordinated operations across distributed network segments.

Exfiltration

Control: Egress Security & Policy Enforcement

Mitigation: Egress security policies would likely have significantly constrained the massive data exfiltration by limiting outbound data flows and reducing the volume of sensitive government information accessible for external transfer through controlled egress points.

Impact (Mitigations)

While ransomware deployment may still have occurred within compromised segments, the overall impact would likely have been constrained to isolated workloads rather than affecting the entire government network infrastructure.

Impact at a Glance

Affected Business Functions

  • Digital Government Services
  • Administrative Operations
  • Transportation Management
  • Environmental Compliance
Operational Disruption

Estimated downtime: 14 days

Financial Impact

Estimated loss: N/A

Data Exposure

5.79 terabytes of government data including personal information of 12,076 individuals, maps and geodata files, and administrative documents from Berlin's state network

Recommended Actions

  • Implement Zero Trust segmentation with identity-based policies to prevent lateral movement across government departments and limit blast radius of compromised credentials
  • Deploy egress security controls with FQDN filtering and data loss prevention to detect and block unauthorized data exfiltration attempts in real-time
  • Enable multicloud visibility and anomaly detection to identify suspicious east-west traffic patterns and repeated malformed requests during the reconnaissance phase
  • Enforce encrypted traffic controls (HPE) with MACsec/IPsec for all data in transit to protect sensitive government communications from interception
  • Establish threat detection and anomaly response capabilities with baselining to identify covert tools like remote access software and unusual data access patterns

Secure the Paths Between Cloud Workloads

A cloud-native security fabric that enforces Zero Trust across workload communication—reducing attack paths, compliance risk, and operational complexity.

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