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Analyze » Gemeente Eindhoven » GEM1767079552

Incident Score: Analysis & Impact (GEM1767079552)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-56
Company Score Before Incident755 / 1000
Company Score After Incident699 / 1000
Company LinkView Gemeente Eindhoven Profile
INCIDENT NUMBERGEM1767079552
Type of Cyber IncidentBreach
ATTACK VECTORMisconfiguration / Unauthorized Use of AI Chatbots
DATA EXPOSEDPersonal data of residents and...
INCIDENT DATE29/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Gemeente Eindhoven's Breach 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 Gemeente Eindhoven 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 Gemeente Eindhoven breach identified under incident ID GEM1767079552.

The analysis begins with a detailed overview of Gemeente Eindhoven's information like the linkedin page: https://www.linkedin.com/company/gemeente-eindhoven, the number of followers: 50373, the industry type: Public Policy Offices and the number of employees: 3000 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 755 and after the incident was 699 with a difference of -56 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 Gemeente Eindhoven and their customers.

Municipality of Eindhoven recently reported "AI Chatbot-Related Data Breach at Municipality of Eindhoven", a noteworthy cybersecurity incident.

A data breach occurred at the municipality of Eindhoven where a large number of files containing personal data about residents and municipal employees were exposed through publicly accessible AI chatbots.

The disruption is felt across the environment, affecting AI chatbots (ChatGPT, Claude, Gemini), and exposing Personal data of residents and municipal employees.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Organizations must implement safeguards for AI chatbot usage to prevent unauthorized data exposure. Employees should not use AI tools without proper oversight, and recommending next steps like Enforce policies for AI chatbot usage, restrict access to sensitive data, and monitor data inputs to AI tools. Conduct employee training on data privacy risks associated with AI chatbots.

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 Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (70%), supported by evidence indicating employees increasingly rely on these tools without proper safeguards. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (90%), supported by evidence indicating sensitive personal data uploaded to publicly accessible AI chatbots and Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating data could be incorporated into AI training datasets. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating bypassing organizational security protocols. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1213.003) with moderate to high confidence (80%), supported by evidence indicating free versions of popular chatbots often store user-inputted data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts: Local Accounts (70%)
Exfiltration
Transfer Data to Cloud Account (90%)
Exfiltration Over Alternative Protocol (80%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)
Collection
Data from Cloud Storage (80%)

Sources & References