Central Jersey Medical Center Breach Incident Score: Analysis & Impact (CEN1903019110825)

In this Rankiteo incident briefing, we review the Central Jersey Medical Center breach identified under incident ID CEN1903019110825.

The analysis begins with a detailed overview of Central Jersey Medical Center's information like the linkedin page: https://www.linkedin.com/company/centraljerseymedicalcenter, the number of followers: 461, the industry type: Health, Wellness & Fitness and the number of employees: 99 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 756 and after the incident was 660 with a difference of -96 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 Central Jersey Medical Center and their customers.

On 25 August 2025, Central Jersey Medical Center (CJMC) disclosed ransomware and data breach issues under the banner "Central Jersey Medical Center Ransomware Attack and Data Breach".

Central Jersey Medical Center (CJMC), a Federally Qualified Health Center (FQHC), suffered a ransomware attack on Aug.

The disruption is felt across the environment, affecting dental servers’ network, and exposing name, date of birth and address.

In response, teams activated the incident response plan, and stakeholders are being briefed through website notice, mail notifications to affected individuals and credit monitoring services offered.

The case underscores how ongoing (legal investigation by Shamis & Gentile P.A.), and recommending next steps like Enroll in free credit monitoring and identity protection services if offered, Monitor financial statements for suspicious activity and Place a fraud alert on credit reports, with advisories going out to stakeholders covering Data security incident notice on CJMC website and Mail notifications 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.

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 moderate to high confidence (70%), with evidence including attack vector such as network intrusion (dental servers), and high value targets such as dental servers’ network and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating network intrusion (dental servers) (implies possible abuse of valid credentials). Under the Execution tactic, the analysis identified User Execution: Malicious Link/File (Ransomware) (T1204.001) with moderate to high confidence (80%), with evidence including ransomware strain such as Sinobi, and data encryption such as yes (ransomware encryption). Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate confidence (50%), supported by evidence indicating network intrusion (dental servers) (possible backdoor for persistence). Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Local Accounts (T1078.001) with moderate confidence (60%), supported by evidence indicating dental servers’ network (lateral movement/escalation likely required). Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable/Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating ransomware (often disables security tools before encryption) and Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating data encryption such as yes (may include deletion of shadow copies). Under the Credential Access tactic, the analysis identified OS Credential Dumping: LSASS Memory (T1003.001) with moderate confidence (50%), supported by evidence indicating network intrusion (common post-exploitation for lateral movement). Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with moderate to high confidence (70%), supported by evidence indicating high value targets such as patient data (implies reconnaissance) and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating file types exposed such as patient records, dental records. Under the Lateral Movement tactic, the analysis identified Remote Services: SMB/Windows Admin Shares (T1021.001) with moderate confidence (60%), supported by evidence indicating dental servers’ network (suggests internal movement). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including data exfiltration such as yes (posted on dark web), and data compromised such as SSN, health insurance, dental records. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as yes (posted on dark web on 2025-10-10). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (100%), with evidence including ransomware strain such as Sinobi, and data encryption such as yes, Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating data_encryption (often renders data unrecoverable without key), and Data Manipulation: Staged Content (T1659) with moderate to high confidence (70%), supported by evidence indicating data exfiltration such as yes followed by posted on dark web (leverage for extortion). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.