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Analyze » OCHIN, Inc. » TRICHAOCH1772815208

Incident Score: Analysis & Impact (TRICHAOCH1772815208)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-90
Company Score Before Incident766 / 1000
Company Score After Incident676 / 1000
INCIDENT NUMBERTRICHAOCH1772815208
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and medical data of...
INCIDENT DATE31/10/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of OCHIN, Inc.'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 OCHIN, Inc. 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 OCHIN, Inc. breach identified under incident ID TRICHAOCH1772815208.

The analysis begins with a detailed overview of OCHIN, Inc.'s information like the linkedin page: https://www.linkedin.com/company/ochin, the number of followers: 23535, the industry type: Hospitals and Health Care and the number of employees: 989 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 676 with a difference of -90 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 OCHIN, Inc. and their customers.

On 02 October 2025, TriZetto disclosed Data Breach issues under the banner "TriZetto Confirms 2024 Cyberattack Exposing 3.4 Million Patients’ Data".

TriZetto, a major U.S.

The disruption is felt across the environment, affecting TriZetto servers, and exposing Personal and medical data of over 3.4 million individuals, with nearly 3.4 million records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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%), with evidence including unauthorized access dating back to November 2024, and breach went unnoticed for nearly a year and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating triZetto processes insurance eligibility for 200M patients. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, insurance records compromised and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating patient eligibility reports extracted from servers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, dates of birth, addresses, health status details extracted and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating insurance records and provider names compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data breach affecting 3.4 million patients, and patient eligibility reports extracted and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating supply chain breach involving multiple healthcare providers. Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Command History (T1070.003) with moderate to high confidence (70%), supported by evidence indicating breach went unnoticed for nearly a year and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating no details on why the breach remained undetected. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high-impact data breach with significant identity theft risk and Defacement: Internal Defacement (T1491.001) with lower confidence (30%), supported by evidence indicating potential disruption to healthcare services. 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 (60%)
Credential Access
OS Credential Dumping (70%)
Unsecured Credentials: Credentials In Files (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (50%)
Defense Evasion
Indicator Removal: Clear Command History (70%)
Hide Artifacts: Hidden Files and Directories (60%)
Impact
Data Destruction (40%)
Defacement: Internal Defacement (30%)

Sources & References