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Analyze » TriZetto Provider Solutions » TRI1772047212

Incident Score: Analysis & Impact (TRI1772047212)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-97
Company Score Before Incident676 / 1000
Company Score After Incident579 / 1000
INCIDENT NUMBERTRI1772047212
Type of Cyber IncidentBreach
ATTACK VECTORWeb portal
DATA EXPOSEDSocial Security numbers, addresses, health...
INCIDENT DATE31/10/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of TriZetto Provider Solutions'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 TriZetto Provider Solutions 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 TriZetto Provider Solutions breach identified under incident ID TRI1772047212.

The analysis begins with a detailed overview of TriZetto Provider Solutions's information like the linkedin page: https://www.linkedin.com/company/trizettoprovider, the number of followers: 9031, the industry type: IT Services and IT Consulting and the number of employees: 326 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 676 and after the incident was 579 with a difference of -97 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 TriZetto Provider Solutions and their customers.

TriZetto Provider Solutions recently reported "Massive U.S. Healthcare Data Breach Exposes Millions in Sensitive Information", a noteworthy cybersecurity incident.

A 2024 data breach at TriZetto Provider Solutions, a healthcare technology company handling over four billion insurance transactions annually, has exposed the sensitive information of 3.4 million people across the U.S.

The disruption is felt across the environment, affecting Insurance eligibility verification software, and exposing Social Security numbers, addresses, health insurance details, with nearly 3,433,965 records at risk.

In response, and stakeholders are being briefed through Customer notifications began in December 2024.

The case underscores how Ongoing, with advisories going out to stakeholders covering One year of credit monitoring services offered to affected 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.

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 Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating hacker accessed historical eligibility reports through a web portal. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating accessed historical eligibility reports through a web portal (implied valid credentials). Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating accessed historical eligibility reports containing PII and health insurance details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 3.4 million individuals sensitive data 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 high-risk identity theft due to exposed Social Security numbers. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Credential Access
Valid Accounts (80%)
Collection
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Manipulation: Stored Data Manipulation (50%)

Sources & References