Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » St. Mary's Health System » STM1768422816

Incident Score: Analysis & Impact (STM1768422816)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-83
Company Score Before Incident765 / 1000
Company Score After Incident682 / 1000
Company LinkView St. Mary's Health System Profile
INCIDENT NUMBERSTM1768422816
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, dates of birth, treatment...
INCIDENT DATE31/05/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of St. Mary's Health System'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 St. Mary's Health System 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 St. Mary's Health System breach identified under incident ID STM1768422816.

The analysis begins with a detailed overview of St. Mary's Health System's information like the linkedin page: https://www.linkedin.com/company/stmarysmaine, the number of followers: 3627, the industry type: Hospitals and Health Care and the number of employees: 867 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 765 and after the incident was 682 with a difference of -83 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. Mary's Health System and their customers.

On 14 January 2026, Central Maine Healthcare disclosed Data Breach issues under the banner "Central Maine Healthcare Data Breach".

An unauthorized third party accessed patient information at Central Maine Healthcare, which may have included names, dates of birth, treatment information, and Social Security numbers.

The disruption is felt across the environment, and exposing Names, dates of birth, treatment information, Social Security numbers, with nearly 145000 records at risk.

In response, and stakeholders are being briefed through Notified all patients whose data may have been involved in the incident.

The case underscores how with advisories going out to stakeholders covering Notified all patients whose data may have been involved in the incident.

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 (80%), supported by evidence indicating unauthorized third party accessed sensitive patient information and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating ongoing vulnerabilities in healthcare data security. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating unauthorized access leading to large-scale exposure of records. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, dates of birth, treatment information, Social Security numbers compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach affecting more than 145,000 individuals and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating large-scale exposure of personal and medical records. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating ongoing investigations into the breaches and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft risk for affected individuals. 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 (80%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References