Bon Secours Charity Health System, Inc. Breach Incident Score: Analysis & Impact (BON4302043112025)

In this Rankiteo incident briefing, we review the Bon Secours Charity Health System, Inc. breach identified under incident ID BON4302043112025.

The analysis begins with a detailed overview of Bon Secours Charity Health System, Inc.'s information like the linkedin page: https://www.linkedin.com/company/bon-secours-charity-health-system-inc-, the number of followers: 1841, the industry type: Hospitals and Health Care and the number of employees: 165 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 762 and after the incident was 671 with a difference of -91 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 Bon Secours Charity Health System, Inc. and their customers.

St. Anthony Hospital recently reported "Data Breach at St. Anthony Hospital Exposes Patient and Staff Information", a noteworthy cybersecurity incident.

A data breach at St.

The disruption is felt across the environment, and exposing Names, Addresses and Dates of birth, with nearly Small number (exact count undisclosed) records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Public statement released; dedicated helpline (877-580-4384) established for inquiries. Affected individuals to be notified if data compromise is confirmed.

The case underscores how Ongoing (external cybersecurity firm involved), and recommending next steps like Place fraud alerts or security freezes on credit files and Monitor financial account statements and credit reports regularly for irregular activity, with advisories going out to stakeholders covering Patients advised to monitor accounts and place fraud alerts/security freezes. Helpline provided for inquiries (877-580-4384, 8 AM–5 PM, Mon–Fri).

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%), with evidence including compromised a small number of employee accounts, and entry point such as Compromised employee accounts. 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 compromised employee accounts suggests credential exposure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including compromised data may include SSNs, medical records, prescription info, and protected Health Information (PHI) exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (85%), with evidence including unauthorized actor accessed employee accounts implies data extraction, and sensitivity of data such as High (SSNs, medical records) suggests targeted exfiltration. Under the Impact tactic, the analysis identified Impair Defenses: Disable or Modify Cloud Firewall (T1598.003) with moderate confidence (60%), supported by evidence indicating vulnerabilities in safeguarding patient/employee data hints at defensive gaps and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no evidence of misuse (low confidence; included for completeness). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.