St. Anthony Regional Hospital Breach Incident Score: Analysis & Impact (ST.1767117019)

In this Rankiteo incident briefing, we review the St. Anthony Regional Hospital breach identified under incident ID ST.1767117019.

The analysis begins with a detailed overview of St. Anthony Regional Hospital's information like the linkedin page: https://www.linkedin.com/company/st.-anthony-regional-hospital-&-nursing-home, the number of followers: 1516, the industry type: Hospitals and Health Care and the number of employees: 310 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 700 with a difference of -63 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 St. Anthony Regional Hospital and their customers.

On 29 December 2025, St. Anthony Regional Hospital disclosed Data Breach issues under the banner "St. Anthony Regional Hospital Data Breach".

In late August 2024, St.

The disruption is felt across the environment, affecting A subset of the hospital’s network, and exposing Personally identifiable information (PII) and protected health information (PHI).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured network, and stakeholders are being briefed through Notice of Privacy Event posted on website, notifications mailed to affected individuals.

The case underscores how Ongoing, and recommending next steps like Sign up for free TransUnion identity theft protection services, Monitor credit reports and financial accounts for unusual activity and Be alert for phishing emails or phone calls, with advisories going out to stakeholders covering Call center set up at 833-285-0683 for affected 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.

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating direct network intrusion and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized individuals accessed a portion of the hospital’s network. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating suspicious activity on its systems detected. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating accessing or downloading certain files without authorization. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating files were accessed or downloaded without authorization. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Files were accessed or downloaded without authorization. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of ransomware, but high sensitivity of data exposed and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to sensitive patient data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.