NYC Health + Hospitals Breach Incident Score: Analysis & Impact (NYC1774664917)

In this Rankiteo incident briefing, we review the NYC Health + Hospitals breach identified under incident ID NYC1774664917.

The analysis begins with a detailed overview of NYC Health + Hospitals's information like the linkedin page: https://www.linkedin.com/company/nyc-health-and-hospitals-corporation, the number of followers: 233587, the industry type: Hospitals and Health Care and the number of employees: 15924 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 730 and after the incident was 680 with a difference of -50 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 NYC Health + Hospitals and their customers.

On 02 February 2026, NYC Health + Hospitals disclosed Data Breach issues under the banner "NYC Health + Hospitals Major Data Breach".

NYC Health + Hospitals, the largest public healthcare system in the U.S., suffered a major data breach involving unauthorized access to its computer network and exfiltration of sensitive patient data.

The disruption is felt across the environment, affecting Computer network of NYC Health + Hospitals, and exposing Sensitive personal and medical information, including names, Social Security numbers, driver’s license numbers, health insurance details, medical records, biometric data, payment information, and online account credentials, with nearly Over a million records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to its computer network and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on breach’s origin, but network access achieved. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating online account credentials compromised and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating sensitive data accessed and exfiltrated. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating medical records, biometric data, payment info compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating health insurance details, diagnoses, medications accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data was accessed and exfiltrated and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating no details on exfil method, but data removed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but data accessed and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating medical records and treatment plans compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.