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Analyze » Rocky Mountain Care » ROC1776090710

Incident Score: Analysis & Impact (ROC1776090710)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-177
Company Score Before Incident765 / 1000
Company Score After Incident588 / 1000
INCIDENT NUMBERROC1776090710
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED1.7 terabytes
INCIDENT DATE29/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Rocky Mountain Care'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 Rocky Mountain Care 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 Rocky Mountain Care breach identified under incident ID ROC1776090710.

The analysis begins with a detailed overview of Rocky Mountain Care's information like the linkedin page: https://www.linkedin.com/company/rocky-mountain-care, the number of followers: 2396, the industry type: Hospitals and Health Care and the number of employees: 709 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 588 with a difference of -177 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 Rocky Mountain Care and their customers.

On 03 April 2026, Rocky Mountain Associated Physicians, P.C. disclosed Data Breach issues under the banner "Rocky Mountain Associated Physicians Data Breach".

Rocky Mountain Associated Physicians, P.C.

The disruption is felt across the environment, and exposing 1.7 terabytes, with nearly 50,640 records at risk.

In response, and stakeholders are being briefed through Public notice on company website, dedicated notice page, and phone support.

The case underscores how with advisories going out to stakeholders covering 12 months of complimentary credit monitoring and identity restoration services through Experian IdentityWorks. Contact: 801-268-3800 (Monday–Friday, 9 a.m.–5 p.m.).

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 oneDrive files and email correspondence compromised and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating data breach impacting 50,640 individuals. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating hR records, email correspondence, and provider data compromised and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, financial data, and PINs exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 1.7 terabytes of data stolen, including OneDrive files and emails and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating business operations, HR records, and patient PII/PHI compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 1.7 terabytes of data exfiltrated by threat actor PEAR and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data breach disclosed after dark web claim by PEAR. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating 1.7 terabytes of data stolen, potential destruction post-exfiltration and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating medical records and diagnosis/treatment details compromised. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating access to OneDrive files and email correspondence implies valid accounts and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating breach detected late (January 30, 2026), dark web claim. 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%)
OS Credential Dumping (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts (60%)

Sources & References