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Analyze » Illinois Department of Public Health (IDPH) » IL-1768941470

Incident Score: Analysis & Impact (IL-1768941470)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-104
Company Score Before Incident767 / 1000
Company Score After Incident663 / 1000
INCIDENT NUMBERIL-1768941470
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and program-related information,...
INCIDENT DATE19/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Illinois Department of Public Health (IDPH)'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 Illinois Department of Public Health (IDPH) 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 Illinois Department of Public Health (IDPH) breach identified under incident ID IL-1768941470.

The analysis begins with a detailed overview of Illinois Department of Public Health (IDPH)'s information like the linkedin page: https://www.linkedin.com/company/il-department-of-public-health, the number of followers: 25489, the industry type: Public Health and the number of employees: 911 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 767 and after the incident was 663 with a difference of -104 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 Public Health (IDPH) and their customers.

Illinois Department of Human Services (DHS) recently reported "Illinois DHS Data Breach Exposes Records of 700,000 Residents", a noteworthy cybersecurity incident.

The Illinois Department of Human Services (DHS) has confirmed a data breach affecting approximately 700,000 residents, exposing sensitive personal and program-related information.

The disruption is felt across the environment, affecting DHS system, and exposing Sensitive personal and program-related information, including PII, with nearly 704,000 (672,000 Medicaid/Medicare + 32,000 Rehabilitation Services) records at risk.

In response, and began remediation that includes Securing systems to prevent future incidents, and stakeholders are being briefed through Notifying impacted individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notifying impacted 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.

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 Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to a DHS system was detected and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach is believed to have occurred over multiple years. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating exposing sensitive personal and program-related information and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating data tied to...Medicaid and Medicare Savings Program recipients. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposing addresses, case numbers, demographic details, medical assistance plan names and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating records of 32,000 Division of Rehabilitation Services customers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach affecting approximately 700,000 residents and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating breach is believed to have occurred over multiple years. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating government data breaches pose unique risks and Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating exposed data containing personally identifiable information (PII). Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (50%), supported by evidence indicating agency has not yet disclosed full technical details and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating unauthorized access to a DHS system was detected. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (80%)
Exploit Public-Facing Application (50%)
Credential Access
OS Credential Dumping (60%)
Unsecured Credentials: Credentials In Files (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Stored Data Manipulation (30%)
Defense Evasion
Indicator Removal: Clear Windows Event Logs (50%)
Hide Artifacts: Hidden Files and Directories (60%)

Sources & References