Episource Breach Incident Score: Analysis & Impact (EPI1769117944)

In this Rankiteo incident briefing, we review the Episource breach identified under incident ID EPI1769117944.

The analysis begins with a detailed overview of Episource's information like the linkedin page: https://www.linkedin.com/company/episource, the number of followers: 102588, the industry type: IT Services and IT Consulting and the number of employees: 3079 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 526 and after the incident was 437 with a difference of -89 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 Episource and their customers.

Episource LLC recently reported "Episource Data Breach Class Action Narrowed After Court Dismissals", a noteworthy cybersecurity incident.

A federal court in California has significantly reduced the scope of a class action lawsuit tied to a health data breach involving Episource LLC, a healthcare risk adjustment services firm.

The disruption is felt across the environment, and exposing Sensitive health data, with nearly 5.4 million records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Active (narrowed scope).

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 (T1078) with moderate confidence (60%), supported by evidence indicating sensitive health data exposed (5.4M individuals) and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating healthcare risk adjustment services firm (public-facing). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating sensitive health data compromised (high sensitivity). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 5.4M records exposed, personally identifiable information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 5.4M individuals affected, sensitive health data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating healthcare data breach (common cloud exfiltration). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating class action lawsuit seeking damages (potential data loss). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.