AdaptHealth Breach Incident Score: Analysis & Impact (TRIADA1769117193)

In this Rankiteo incident briefing, we review the AdaptHealth breach identified under incident ID TRIADA1769117193.

The analysis begins with a detailed overview of AdaptHealth's information like the linkedin page: https://www.linkedin.com/company/adapthealth, the number of followers: 34746, the industry type: Hospitals and Health Care and the number of employees: 3210 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 766 and after the incident was 703 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 AdaptHealth and their customers.

On 10 December 2015, Adapt Integrated Health Care disclosed Data Breach issues under the banner "TriZetto Vendor Data Breach Exposes Patient Information in Third-Party Incident".

Adapt Integrated Health Care disclosed a data breach involving TriZetto, a third-party vendor providing electronic medical record services through OCHIN.

The disruption is felt across the environment, affecting TriZetto’s systems (third-party vendor), and exposing Names, Social Security numbers, dates of birth, contact details, health-related information, insurance records.

In response, and began remediation that includes Strengthening security measures, reviewing processes, and stakeholders are being briefed through Dedicated call center (844-572-2724), notification letters starting February 2026.

The case underscores how teams are taking away lessons such as Highlights risks of third-party vendor vulnerabilities in healthcare data security, with advisories going out to stakeholders covering Notification letters to be sent starting February 2026, call center support available.

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 Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating incident occurred at a subcontractor of one of its vendors (TriZetto) and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized individual gained access to one of TriZetto’s systems. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating third-party vendor providing electronic medical record services (OCHIN) and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers, health-related information compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, Social Security numbers, dates of birth, contact details compromised and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating electronic medical record services through OCHIN. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach involving TriZetto’s systems, patient information compromised. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating potentially compromised data includes health-related information and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unauthorized individual gained access to one of TriZetto’s systems. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.