FEI Systems Breach Incident Score: Analysis & Impact (FEIMIN1768969952)

In this Rankiteo incident briefing, we review the FEI Systems breach identified under incident ID FEIMIN1768969952.

The analysis begins with a detailed overview of FEI Systems's information like the linkedin page: https://www.linkedin.com/company/fei-systems2, the number of followers: 24114, the industry type: IT Services and IT Consulting and the number of employees: 449 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 754 and after the incident was 577 with a difference of -177 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 FEI Systems and their customers.

On 18 November 2025, Minnesota Department of Human Services (DHS) disclosed Data Breach issues under the banner "Minnesota Agency Reports 304,000-Person Data Breach Linked to Vendor System".

The Minnesota Department of Human Services (DHS) is notifying nearly 304,000 individuals of a data breach involving unauthorized access to its MnChoices system, a third-party IT platform managed by FEI Systems.

The disruption is felt across the environment, affecting MnChoices system (FEI Systems), and exposing Names, addresses, dates of birth, Medicaid IDs, partial Social Security numbers, ethnicity, income, program eligibility, with nearly 304,000+ records at risk.

In response, moved swiftly to contain the threat with measures like Access revoked for the unauthorized provider on October 30, 2025, and stakeholders are being briefed through Notifications sent to affected individuals.

The case underscores how Ongoing (DHS Office of Inspector General monitoring for fraud), with advisories going out to stakeholders covering Notifications sent to affected individuals.

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.

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 (T1078) with high confidence (90%), supported by evidence indicating healthcare worker affiliated with a licensed provider accessed data beyond their authorized scope. Under the Credential Access tactic, the analysis identified Credentials from Cloud Instance Metadata API (T1552.006) with moderate confidence (50%), supported by evidence indicating unauthorized access to its MnChoices system, a third-party IT platform. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating accessed data beyond their authorized scope between August 28 and September 21, 2025 and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed data includes names, addresses, dates of birth, Medicaid IDs, partial SSNs. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 303,965 individuals had demographic information accessed, 1,206 had extensive records compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating mnChoices system used to assess eligibility for long-term services. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating no evidence of external hacking, but unauthorized access suggests potential data exfiltration. Under the Impact tactic, the analysis identified Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating dHS Office of Inspector General is monitoring for potential fraud. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.