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Analyze » Germany in the UN » GERMINGOVMOFMZVFRE1783946090

Incident Score: Analysis & Impact (GERMINGOVMOFMZVFRE1783946090)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-26
Company Score Before Incident758 / 1000
Company Score After Incident732 / 1000
INCIDENT NUMBERGERMINGOVMOFMZVFRE1783946090
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDNA
INCIDENT DATE31/12/2021
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Germany in the UN's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Germany in the UN Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Germany in the UN breach identified under incident ID GERMINGOVMOFMZVFRE1783946090.

The analysis begins with a detailed overview of Germany in the UN's information like the linkedin page: https://www.linkedin.com/company/germanyun, the number of followers: 27295, the industry type: Government Administration and the number of employees: 38 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 758 and after the incident was 732 with a difference of -26 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Germany in the UN and their customers.

Poland recently reported "EU and UK Impose Sanctions on Russia Over Cyberattacks Targeting Europe", a noteworthy cybersecurity incident.

The European Union and the United Kingdom announced coordinated sanctions against Russia, holding Moscow’s FSB intelligence agency responsible for a series of cyberattacks across Europe.

The disruption is felt across the environment, affecting power grid, government ministries and rail infrastructure.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating cyberattacks across Europe targeting government ministries, companies, and key services and Supply Chain Compromise (T1195) with lower confidence (40%), supported by evidence indicating russian cyber operations targeting rail infrastructure and critical services. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate confidence (50%), supported by evidence indicating malware deployed for espionage and sabotage by FSB’s Centre 16. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating fSB and GRU officers implicated in cyberattacks over several years. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating targeting of critical infrastructure (power grid, rail systems). Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating cybercriminals allegedly collaborating with Russian state actors and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating malware deployed by FSB’s Centre 16 for espionage and sabotage. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating targeting of government ministries and critical infrastructure and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating fSB and GRU officers implicated in long-term cyber operations. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating espionage and sabotage operations targeting multiple EU countries. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating targeting of power grids, rail infrastructure, and government systems. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate to high confidence (80%), supported by evidence indicating failed cyberattack on Poland’s power grid could have left 500,000 without electricity and Data Manipulation (T1565) with moderate confidence (60%), supported by evidence indicating disruptions to rail infrastructure and key services in France. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating malware deployed by FSB’s Centre 16 for long-term operations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Supply Chain Compromise (40%)
Execution
Exploitation for Client Execution (50%)
Persistence
Valid Accounts (70%)
Privilege Escalation
Exploitation for Privilege Escalation (60%)
Defense Evasion
Masquerading (70%)
Hide Artifacts (60%)
Credential Access
Brute Force (50%)
OS Credential Dumping (60%)
Discovery
File and Directory Discovery (60%)
Lateral Movement
Exploitation of Remote Services (70%)
Impact
Endpoint Denial of Service (80%)
Data Manipulation (60%)
Command and Control
Application Layer Protocol (70%)