Incident Score: Analysis & Impact (DUT1776969214)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Dutchess County Government'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 Dutchess County Government 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 Dutchess County Government breach identified under incident ID DUT1776969214.
The analysis begins with a detailed overview of Dutchess County Government's information like the linkedin page: https://www.linkedin.com/company/dutchess-county-government, the number of followers: 331, the industry type: Government Administration and the number of employees: 126 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 690 and after the incident was 592 with a difference of -98 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 Dutchess County Government and their customers.
On 12 March 2024, Municipality of Epe disclosed Data Breach issues under the banner "Massive Data Breach Exposes Personal Information of Nearly All Epe Residents".
On March 12, the Dutch municipality of Epe suffered a severe data breach, resulting in the theft of sensitive information belonging to nearly all of its residents.
The disruption is felt across the environment, affecting Municipal systems, and exposing 552,000 files, with nearly 552,000 files records at risk.
In response, moved swiftly to contain the threat with measures like Password resets, additional security measures, and stakeholders are being briefed through Notification letters to affected residents, separate communication for those with ID copies stolen.
The case underscores how Ongoing, with advisories going out to stakeholders covering Affected residents will receive notification letters; free ID replacements offered for those with ID copies stolen.
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 Phishing: Spearphishing Link (T1566.002) with high confidence (90%), supported by evidence indicating clickFix technique, victims tricked into clicking a malicious link disguised as a system error. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with high confidence (90%), supported by evidence indicating victims were tricked into clicking a malicious link disguised as a system error. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating bank account information and copies of IDs may also have been compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating attackers accessed approximately 552,000 files, including names, addresses, BSN numbers and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating municipal systems containing resident data were accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 552,000 files accessed, data breach affecting nearly all residents. Under the Impact tactic, the analysis identified Compromise Accounts (T1586) with moderate to high confidence (70%), supported by evidence indicating potential risks, including identity theft and phishing attempts and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no confirmation if stolen data has been leaked or destroyed. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating malicious link disguised as a system error. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Dutchess County Government Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/dutchess-county-government/incident/DUT1776969214
- Dutchess County Government CyberSecurity Rating page: https://www.rankiteo.com/company/dutchess-county-government
- Dutchess County Government Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/dut1776969214-dutch-municipality-of-epe-breach-march-2026/
- Dutchess County Government CyberSecurity Score History: https://www.rankiteo.com/company/dutchess-county-government/history
- Dutchess County Government CyberSecurity Incident Source: https://nltimes.nl/2026/04/23/nearly-epe-residents-affected-major-data-breach-involving-personal-details
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf