Minnesota Department of Human Services Breach Incident Score: Analysis & Impact (MIN1768885020)

In this Rankiteo incident briefing, we review the Minnesota Department of Human Services breach identified under incident ID MIN1768885020.

The analysis begins with a detailed overview of Minnesota Department of Human Services's information like the linkedin page: https://www.linkedin.com/company/minnesota-department-of-human-services, the number of followers: 34170, the industry type: Government Administration and the number of employees: 1876 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 649 and after the incident was 557 with a difference of -92 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 Minnesota Department of Human Services and their customers.

On 16 January 2024, Minnesota Department of Human Services (DHS) disclosed Data Breach issues under the banner "Minnesota Department of Human Services Data Breach".

A data breach at the Minnesota Department of Human Services (DHS) compromised the private information of nearly 304,000 individuals.

The disruption is felt across the environment, affecting DHS-managed system, and exposing Personal information of 304,000 individuals, with nearly 304,000 records at risk.

In response, and stakeholders are being briefed through Notification letter sent to affected individuals.

The case underscores how Ongoing, and recommending next steps like Affected individuals were advised to review their healthcare statements and credit reports for suspicious activity, with advisories going out to stakeholders covering Review healthcare statements and credit reports for suspicious activity.

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 moderate confidence (60%), supported by evidence indicating unauthorized access occurred approximately four months before affected individuals were informed and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach involved a system managed by the DHS. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating no current evidence that the exposed data was misused (implies potential credential exposure). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating private information of nearly 304,000 individuals compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach impacting 304,000 individuals with high sensitivity and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no details on data exfiltration method (cloud storage possible). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data misuse (destruction not confirmed) and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential fraudulent activity monitoring implies possible manipulation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.