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Analyze » Deutsche Bundesbank » DEUNAT1774009803

Incident Score: Analysis & Impact (DEUNAT1774009803)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-59
Company Score Before Incident767 / 1000
Company Score After Incident708 / 1000
Company LinkView Deutsche Bundesbank Profile
INCIDENT NUMBERDEUNAT1774009803
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDNA
INCIDENT DATE25/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Deutsche Bundesbank'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 Deutsche Bundesbank 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 Deutsche Bundesbank breach identified under incident ID DEUNAT1774009803.

The analysis begins with a detailed overview of Deutsche Bundesbank's information like the linkedin page: https://www.linkedin.com/company/deutsche-bundesbank, the number of followers: 103135, the industry type: Banking and the number of employees: 3436 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 767 and after the incident was 708 with a difference of -59 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 Deutsche Bundesbank and their customers.

Bundesbank recently reported "Unprecedented Cyberattack Surge on Germany’s Bundesbank", a noteworthy cybersecurity incident.

Germany’s central bank, the Bundesbank, is under relentless cyberattack, with officials reporting an average of 5,000 attacks per minute totaling over 2.5 billion annually.

The disruption is felt across the environment, plus an estimated financial loss of €300 billion (Germany, 2024).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Stricter employee vetting, Enhanced IT security and Improved business continuity measures.

The case underscores how Ongoing, teams are taking away lessons such as Cyber threats are escalating, requiring aggressive defensive postures and enhanced security measures, and recommending next steps like Implement stricter employee vetting, Enhance IT security and Improve business continuity measures.

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 (50%), supported by evidence indicating 5,000 attacks per minute targeting Bundesbank and Endpoint Denial of Service (T1499) with moderate to high confidence (80%), supported by evidence indicating dDoS attack type mentioned in incident details. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating state-sponsored cyberattacks with ongoing access. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Service Exhaustion Flood (T1499.002) with moderate to high confidence (80%), supported by evidence indicating 5,000 attacks per minute causing severe disruption and Resource Hijacking (T1496) with moderate confidence (60%), supported by evidence indicating €300 billion in losses reported in 2024. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating stricter employee vetting implemented post-incident and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating enhanced IT security measures required. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating state-sponsored actors (China/Russia) likely using C2. Under the Reconnaissance tactic, the analysis identified Active Scanning (T1595) with moderate to high confidence (70%), supported by evidence indicating 5,000 attacks per minute implies extensive scanning. 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 (50%)
Endpoint Denial of Service (80%)
Persistence
External Remote Services (60%)
Impact
Endpoint Denial of Service: Service Exhaustion Flood (80%)
Resource Hijacking (60%)
Defense Evasion
Valid Accounts (70%)
Impair Defenses: Disable or Modify Tools (50%)
Command and Control
Application Layer Protocol (70%)
Reconnaissance
Active Scanning (70%)

Sources & References