FEI Systems Breach Incident Score: Analysis & Impact (FEIMIN1769103080)

In this Rankiteo incident briefing, we review the FEI Systems breach identified under incident ID FEIMIN1769103080.

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 581 and after the incident was 491 with a difference of -90 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.

Minnesota Department of Health and Human Services (DHS) recently reported "Minnesota DHS Reports Data Breach Affecting 300,000 in MnCHOICES Program", a noteworthy cybersecurity incident.

The Minnesota Department of Health and Human Services (DHS) is notifying residents after a data breach exposed sensitive information from approximately 300,000 users of the MnCHOICES program.

The disruption is felt across the environment, affecting MnCHOICES web-based system, and exposing Personal and medical details used in eligibility determinations, with nearly 300,000 records at risk.

In response, moved swiftly to contain the threat with measures like Unauthorized user blocked, and stakeholders are being briefed through Affected individuals notified via letters with guidance to monitor medical statements.

The case underscores how Ongoing (led by Minnesota DHS Office of Inspector General), with advisories going out to stakeholders covering Letters sent to affected individuals with monitoring guidance.

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 unauthorized access by a provider-associated user within the web-based system. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating access by a provider-associated user suggests compromised or misused credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal and medical details used in eligibility determinations were accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating data breach affecting 300,000 users; exfiltration not confirmed but implied and Data from Cloud Storage (T1530) with moderate confidence (60%), supported by evidence indicating web-based system (MnCHOICES) used for long-term care assessments. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating sensitive information exposed; potential for misuse despite no confirmed misuse. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating access by a provider-associated user may have evaded detection initially. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.