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Analyze » Centers for Dialysis Care » CEN1783348397

Incident Score: Analysis & Impact (CEN1783348397)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-80
Company Score Before Incident763 / 1000
Company Score After Incident683 / 1000
INCIDENT NUMBERCEN1783348397
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and health-related data
INCIDENT DATE19/03/2026
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of Centers for Dialysis Care'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 Centers for Dialysis Care 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 Centers for Dialysis Care breach identified under incident ID CEN1783348397.

The analysis begins with a detailed overview of Centers for Dialysis Care's information like the linkedin page: https://www.linkedin.com/company/centers-for-dialysis-care, the number of followers: 1761, the industry type: Hospitals and Health Care and the number of employees: 276 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 763 and after the incident was 683 with a difference of -80 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 Centers for Dialysis Care and their customers.

On 15 May 2026, Centers for Dialysis Care disclosed Data Breach issues under the banner "Centers for Dialysis Care Data Breach".

Centers for Dialysis Care, a non-profit dialysis provider based in Shaker Heights, Ohio, disclosed a data breach impacting approximately 8,000 individuals across the U.S.

The disruption is felt across the environment, and exposing Sensitive personal and health-related data, with nearly 8000 records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Immediate steps to secure systems, and stakeholders are being briefed through Public notice on website, dedicated call center.

The case underscores how Completed, with advisories going out to stakeholders covering Dedicated call center (1-877-429-4026), operating Monday through Friday, 8:00 a.m. to 8:00 p.m. ET.

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 (70%), supported by evidence indicating unauthorized actor had accessed files containing sensitive data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity within its network (no specific vector). Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, names, dates of birth compromised and Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating access to files containing sensitive personal and health data. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating access to files containing treatment histories, health insurance data and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating unauthorized actor had accessed files containing sensitive data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating files containing sensitive personal and health-related data accessed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical records, treatment histories, health insurance data 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 approximately 8,000 individuals and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no details on exfiltration method, but data was accessed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but unauthorized access occurred and Data Manipulation (T1565) with lower confidence (20%), supported by evidence indicating no evidence of data manipulation, but sensitive data was accessed. 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 (70%)
Exploit Public-Facing Application (50%)
Credential Access
OS Credential Dumping (60%)
Unsecured Credentials (50%)
Discovery
Account Discovery (60%)
File and Directory Discovery (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation (20%)

Sources & References