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Analyze » Hackensack Meridian Health » GREHACRWJTHE1783635866

Incident Score: Analysis & Impact (GREHACRWJTHE1783635866)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-61
Company Score Before Incident779 / 1000
Company Score After Incident718 / 1000
INCIDENT NUMBERGREHACRWJTHE1783635866
Type of Cyber IncidentBreach
ATTACK VECTORCompromised user account
DATA EXPOSEDProtected health information (PHI) including...
INCIDENT DATE26/11/2025
STATUSConcluded

Key Highlights From The Incident Analysis

  • Timeline of Hackensack Meridian Health'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 Hackensack Meridian Health 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 Hackensack Meridian Health breach identified under incident ID GREHACRWJTHE1783635866.

The analysis begins with a detailed overview of Hackensack Meridian Health's information like the linkedin page: https://www.linkedin.com/company/hackensackmeridianhealth, the number of followers: 116051, the industry type: Hospitals and Health Care and the number of employees: 24016 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 779 and after the incident was 718 with a difference of -61 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 Hackensack Meridian Health and their customers.

On 18 May 2026, Greenbaum Rowe Smith and Davis disclosed Data Breach issues under the banner "Cyberattack on New Jersey Law Firm Exposes Nearly 13,000 Patients’ Sensitive Data".

A cyberattack on New Jersey-based law firm Greenbaum Rowe Smith and Davis compromised the protected health information (PHI) of 12,801 individuals, including patients from major healthcare providers.

The disruption is felt across the environment, affecting Law firm's systems, and exposing Protected health information (PHI) including names, addresses, Social Security numbers, dates of birth, medical records, and health insurance details, with nearly 12,801 records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Password reset for compromised accounts, and began remediation that includes Strengthened cybersecurity measures, while recovery efforts such as Offering identity theft protection services and dedicated call center for impacted individuals continue, and stakeholders are being briefed through Mailed letters to affected individuals, public disclosure via HHS OCR.

The case underscores how Concluded, with advisories going out to stakeholders covering Coordination with affected healthcare providers (e.g., Hackensack Meridian Health).

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 high confidence (90%), supported by evidence indicating unauthorized access to the firm’s systems via a compromised user account. Under the Credential Access tactic, the analysis identified Default Accounts (T1078.001) with moderate to high confidence (70%), supported by evidence indicating compromised user account and Group Policy Preferences (T1552.006) with moderate confidence (50%), supported by evidence indicating password reset was required post-compromise. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (80%), supported by evidence indicating access to sensitive data including names, SSNs, medical records and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating acquired sensitive data, including medical records and health insurance details. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, addresses, SSNs, dates of birth, medical records, health insurance details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating unauthorized third party accessed and acquired sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data breach impacting 12,801 individuals. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence the stolen data has been misused or published and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft risk due to exposure of SSNs and PII. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised user account used for unauthorized access and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating strengthened cybersecurity measures post-incident. 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 (90%)
Credential Access
Default Accounts (70%)
Group Policy Preferences (50%)
Discovery
Account Discovery (80%)
Data from Local System (80%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Valid Accounts (80%)
Impair Defenses: Disable or Modify Tools (50%)