Excellent Home Care Breach Incident Score: Analysis & Impact (EXC1766441142)

In this Rankiteo incident briefing, we review the Excellent Home Care breach identified under incident ID EXC1766441142.

The analysis begins with a detailed overview of Excellent Home Care's information like the linkedin page: https://www.linkedin.com/company/excellent-home-care, the number of followers: 62, the industry type: Hospitals and Health Care and the number of employees: 88 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 769 and after the incident was 706 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 Excellent Home Care and their customers.

On 18 December 2025, Excellent Home Care disclosed Data Breach issues under the banner "Excellent Home Care Data Breach".

Excellent Home Care announced a data breach where sensitive personal identifiable information and protected health information may have been compromised.

The disruption is felt across the environment, affecting Employee email account, and exposing Sensitive personal identifiable information and protected health information.

In response, and stakeholders are being briefed through Press release and mailed data breach notification letters.

The case underscores how Completed (initial investigation), with advisories going out to stakeholders covering Data breach notification letters mailed to impacted 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 Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating unauthorized third party accessed an employee’s email account and Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (70%), supported by evidence indicating accessed an employee’s email account. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating unauthorized access to email account (implied) and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating employee email account compromise (potential credential theft). Under the Collection tactic, the analysis identified Email Collection: Remote Email Collection (T1114.002) with high confidence (90%), supported by evidence indicating accessed an employee’s email account containing sensitive data and Data from Information Repositories: Code Repositories (T1213.003) with lower confidence (40%), supported by evidence indicating medical details such as diagnoses, medications, and care plans exposed. 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 (70%), supported by evidence indicating sensitive data may have been exposed (implied exfiltration). Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating potential exposure of sensitive personal and health-related information and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating high sensitivity of compromised data (potential risk). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.