VITAS Healthcare Breach Incident Score: Analysis & Impact (VIT5334453112525)
The Rankiteo video explains how the company VITAS Healthcare has been impacted by a Breach on the date June 16, 2024.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of VITAS Healthcare'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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts VITAS Healthcare Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the VITAS Healthcare breach identified under incident ID VIT5334453112525.
The analysis begins with a detailed overview of VITAS Healthcare's information like the linkedin page: https://www.linkedin.com/company/vitas-healthcare, the number of followers: 85727, the industry type: Hospitals and Health Care and the number of employees: 6836 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 777 and after the incident was 718 with a difference of -59 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 VITAS Healthcare and their customers.
On 24 November 2025, VITAS Healthcare disclosed Data Breach issues under the banner "Data Breach at VITAS Healthcare Affecting Patient Information".
VITAS Healthcare, a Florida-based hospice provider, experienced a data breach where an unauthorized party accessed and downloaded personal information of some current and former patients.
The disruption is felt across the environment, affecting Certain VITAS network systems, and exposing True.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Systems secured immediately upon detection, and began remediation that includes Reviewing and strengthening vendor oversight and data protection protocols, and stakeholders are being briefed through {'direct_notification_to_affected_individuals': True, 'public_announcement': True, 'dedicated_hotline': '855-403-1586 (Mon-Fri, 9 AM - 9 PM ET, excluding U.S. holidays)', 'dedicated_website': 'vitasdatanotice.com', 'credit_monitoring_offered': '24 months of complimentary credit monitoring and identity protection services'}.
The case underscores how Ongoing (internal investigation with cybersecurity firm assistance; no evidence of data misuse as of disclosure), with advisories going out to stakeholders covering Dedicated hotline and website established for affected individuals; direct notifications sent to impacted patients.
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: Cloud Accounts (T1078.004) with high confidence (95%), supported by evidence indicating compromised vendor account used for unauthorized access (Sep 21โOct 27, 2025). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating vendor account compromise (implied weak credential security or exposure). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating accessed and downloaded personal information of current/former patients (PII/medical data). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (85%), supported by evidence indicating downloaded personal information via compromised vendor account (method unspecified). Under the Impact tactic, the analysis identified Data from Cloud Storage Object: Data from Health Care Provider (T1598.003) with high confidence (90%), supported by evidence indicating personal information (SSNs, medical records, addresses) exfiltrated from healthcare provider. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating leveraged compromised vendor account to bypass authentication (legitimate credentials abused). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- VITAS Healthcare Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/vitas-healthcare/incident/VIT5334453112525
- VITAS Healthcare CyberSecurity Rating page: https://www.rankiteo.com/company/vitas-healthcare
- VITAS Healthcare Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/vit5334453112525-vitas-healthcare-breach-june-2024/
- VITAS Healthcare CyberSecurity Score History: https://www.rankiteo.com/company/vitas-healthcare/history
- VITAS Healthcare CyberSecurity Incident Source: https://www.naplesnews.com/story/news/2025/11/25/vitas-hospice-in-florida-offering-patients-24-months-of-data-protection/87451542007/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





