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Analyze » Insight Hospital and Medical Center » INS1776227401

Incident Score: Analysis & Impact (INS1776227401)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-64
Company Score Before Incident763 / 1000
Company Score After Incident699 / 1000
INCIDENT NUMBERINS1776227401
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive patient information, including Social...
INCIDENT DATE31/07/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Insight Hospital and Medical Center'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 Insight Hospital and Medical Center 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 Insight Hospital and Medical Center breach identified under incident ID INS1776227401.

The analysis begins with a detailed overview of Insight Hospital and Medical Center's information like the linkedin page: https://www.linkedin.com/company/insightchicago, the number of followers: 3096, the industry type: Hospitals and Health Care and the number of employees: 328 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 699 with a difference of -64 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 Insight Hospital and Medical Center and their customers.

On 01 August 2023, Insight Hospital and Medical Care Center disclosed Data Breach issues under the banner "Bronzeville Hospital Data Breach Exposes Patient Information After Nine-Month Delay".

A data breach at Insight Hospital and Medical Care Center in Chicago’s Bronzeville neighborhood potentially exposed sensitive patient information, including Social Security numbers, financial account details, and health insurance data.

The disruption is felt across the environment, and exposing Sensitive patient information, including Social Security numbers, financial account details, and health insurance data.

In response, and stakeholders are being briefed through Advised patients to monitor credit reports, place fraud alerts, freeze credit files, and review account statements.

The case underscores how Ongoing, teams are taking away lessons such as Delayed notification hindered proactive measures to mitigate harm, particularly for vulnerable patients. Smaller hospitals often lack robust cybersecurity resources, making them prime targets for attacks, and recommending next steps like Hospitals should prioritize preventative security measures, enhance monitoring, and ensure timely breach notifications to affected individuals, with advisories going out to stakeholders covering Monitor credit reports, place fraud alerts, freeze credit files, and review account statements 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.

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 confidence (60%), supported by evidence indicating unauthorized individuals accessed their systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating smaller hospitals often lack the resources for robust cybersecurity. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, financial account details, health insurance data exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive patient information...potentially exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating 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 unauthorized individuals accessed their systems and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach...potentially exposed sensitive patient information. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating exact number of affected individuals...remains unclear and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating compromised data could be exploited for fraudulent insurance claims. 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 (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)

Sources & References