Illinois Department of Healthcare and Family Services Breach Incident Score: Analysis & Impact (ILD1767411312)

In this Rankiteo incident briefing, we review the Illinois Department of Healthcare and Family Services breach identified under incident ID ILD1767411312.

The analysis begins with a detailed overview of Illinois Department of Healthcare and Family Services's information like the linkedin page: https://www.linkedin.com/company/ildhfs, the number of followers: 3890, the industry type: Hospitals and Health Care and the number of employees: 340 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 701 and after the incident was 618 with a difference of -83 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 Illinois Department of Healthcare and Family Services and their customers.

On 26 September 2025, Illinois Department of Human Services (IDHS) disclosed Data Exposure issues under the banner "Illinois Department of Human Services Patient Data Exposure".

The names and addresses of thousands of patients of the Illinois Department of Human Services were incorrectly made publicly viewable for several years due to incorrect privacy settings on mapping tools used by the agency.

The disruption is felt across the environment, affecting Public mapping website, and exposing Names, addresses, case numbers, case status, referral source information, region and office information, demographic information, medical assistance plan names, with nearly 702,000 records at risk.

In response, moved swiftly to contain the threat with measures like Immediate change of privacy settings to restrict access to authorized IDHS employees, and began remediation that includes Implementation of a secure map policy prohibiting upload of customer data to public mapping websites, and stakeholders are being briefed through Notices sent to affected individuals with a phone number for more information.

The case underscores how Ongoing (unable to identify who viewed the maps), teams are taking away lessons such as Importance of proper privacy settings and secure data handling policies for public-facing tools, and recommending next steps like Regular audits of privacy settings, employee training on data security, and stricter controls on public data uploads, with advisories going out to stakeholders covering Notices sent to affected individuals with a phone number for more information.

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 Exploitation of Remote Services (T1210) with moderate confidence (50%), supported by evidence indicating incorrect privacy settings on public mapping tools. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with lower confidence (30%), supported by evidence indicating maps left accessible online, exposing patient data and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating public mapping tools inadvertently exposed data. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating incorrect privacy settings on public mapping tools. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating internal maps created to guide resource allocation exposed patient data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.