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Analyze » Jackson Health System » JAC1768378265

Incident Score: Analysis & Impact (JAC1768378265)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-69
Company Score Before Incident775 / 1000
Company Score After Incident706 / 1000
INCIDENT NUMBERJAC1768378265
Type of Cyber IncidentBreach
ATTACK VECTORUnauthorized Access by Employee
DATA EXPOSEDPatient names, birth dates, addresses,...
INCIDENT DATE06/06/2025
STATUSOngoing (internal investigation completed)

Key Highlights From The Incident Analysis

  • Timeline of Jackson Health System'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 Jackson Health System 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 Jackson Health System breach identified under incident ID JAC1768378265.

The analysis begins with a detailed overview of Jackson Health System's information like the linkedin page: https://www.linkedin.com/company/jackson-health-system, the number of followers: 65759, the industry type: Hospitals and Health Care and the number of employees: 5505 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 775 and after the incident was 706 with a difference of -69 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 Jackson Health System and their customers.

Jackson Health System recently reported "Jackson Health System Insider Data Breach", a noteworthy cybersecurity incident.

An employee of Jackson Health System accessed personal data of over 2,000 patients to promote a personal healthcare business.

The disruption is felt across the environment, affecting Patient record systems, and exposing Patient names, birth dates, addresses, medical record numbers, clinical details, with nearly 2000+ records at risk.

In response, moved swiftly to contain the threat with measures like Employee termination, and stakeholders are being briefed through Public disclosure via press release.

The case underscores how Ongoing (internal investigation completed), teams are taking away lessons such as Insufficient access controls, lack of regular audits, and delayed breach detection contributed to the incident. Previous regulatory actions did not enforce corrective measures, and recommending next steps like Implement stricter access controls, conduct regular audits, enhance monitoring of employee access to sensitive data, and enforce corrective action plans post-incident, with advisories going out to stakeholders covering Public disclosure via press release.

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%), with evidence including an employee of Jackson Health System accessed personal data, and unauthorized Access by Employee. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating breach spanned nearly five years from July 2020 to May 2025. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating exploited the data to promote a personal healthcare business. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating why the unauthorized access went undetected for so long and Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (50%), supported by evidence indicating insufficient access controls and monitoring. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating an employee...accessed personal data of over 2,000 patients. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating patient names, birth dates, addresses, medical record numbers, clinical details and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating accessed personal data of over 2,000 patients. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating exploited the data to promote a personal healthcare business and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating personal business promotion suggests data transfer. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but included due to breach impact and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating personal business promotion may involve data misuse. 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%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Valid Accounts (70%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (60%)
Indicator Removal: Clear Windows Event Logs (50%)
Credential Access
Valid Accounts (90%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References