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Analyze » Geisinger » NUAGEI1773772921

Incident Score: Analysis & Impact (NUAGEI1773772921)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-107
Company Score Before Incident567 / 1000
Company Score After Incident460 / 1000
INCIDENT NUMBERNUAGEI1773772921
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat
DATA EXPOSED1.3 million records
INCIDENT DATE27/06/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Geisinger'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 Geisinger 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 Geisinger breach identified under incident ID NUAGEI1773772921.

The analysis begins with a detailed overview of Geisinger's information like the linkedin page: https://www.linkedin.com/company/geisinger, the number of followers: 84447, the industry type: Hospitals and Health Care and the number of employees: 15511 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 567 and after the incident was 460 with a difference of -107 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 Geisinger and their customers.

On 28 June 2024, Geisinger Health disclosed Data Breach issues under the banner "$5 Million Settlement Approved in Geisinger-Nuance Medical Data Breach Affecting 1.3 Million Patients".

A Pennsylvania judge has approved a $5 million settlement resolving a class-action lawsuit against Geisinger Health and Nuance Communications following the theft of 1.3 million patient records by a former Nuance employee.

The disruption is felt across the environment, and exposing 1.3 million records, with nearly 1.3 million records at risk, plus an estimated financial loss of $5,000,000 (settlement).

Formal response steps have not been shared publicly yet.

The case underscores how with advisories going out to stakeholders covering Victims have until March 18 to file claims; complimentary credit monitoring offered.

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 Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (T1557.001) with lower confidence (30%), supported by evidence indicating third-party data handling within the healthcare sector and Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating breach stemmed from Geisinger’s partnership with Nuance. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating former Nuance employee...theft of 1.3 million patient records and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating nuance, a Microsoft subsidiary...AI-driven clinical documentation tools. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed sensitive data...names, birthdates, addresses, medical record numbers and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating treatment details, and insurance information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating theft of 1.3 million patient records by a former Nuance employee and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating nuance Communications, a Microsoft subsidiary. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence that the stolen data has surfaced on the dark web and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating identity theft risk such as Yes. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (30%)
Trusted Relationship (90%)
Credential Access
Credentials from Password Stores (70%)
Valid Accounts: Cloud Accounts (80%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (20%)
Data Manipulation: Transmitted Data Manipulation (30%)