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Analyze » Madera Community Hospital » MAD1784312959

Incident Score: Analysis & Impact (MAD1784312959)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-58
Company Score Before Incident710 / 1000
Company Score After Incident652 / 1000
INCIDENT NUMBERMAD1784312959
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and protected health information
INCIDENT DATE27/05/2025
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of Madera Community Hospital'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 Madera Community Hospital 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 Madera Community Hospital breach identified under incident ID MAD1784312959.

The analysis begins with a detailed overview of Madera Community Hospital's information like the linkedin page: https://www.linkedin.com/company/madera-community-hospital, the number of followers: 1709, the industry type: Non-profit Organization Management and the number of employees: 403 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 710 and after the incident was 652 with a difference of -58 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 Madera Community Hospital and their customers.

On 14 July 2026, Madera Community Hospital disclosed Data Breach issues under the banner "Madera Community Hospital Data Breach".

Madera Community Hospital reported a data breach involving unauthorized access to its computer network over two days in late May 2025.

The disruption is felt across the environment, affecting Computer network, and exposing Personal and protected health information.

In response, teams activated the incident response plan, and stakeholders are being briefed through Notification to affected individuals, dedicated response line, identity theft protection services.

The case underscores how Completed, with advisories going out to stakeholders covering Notification letters sent to affected individuals, identity theft protection services 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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to its computer network over two days and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating access to its computer network (no specific vector disclosed). Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized third party accessed the hospital’s systems and Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating access to computer network (implied weak credential controls). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating specialized data-review firm analyzed compromised files and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating compromised files analyzed by data-review firm. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal and protected health information potentially exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating breach involved unauthorized access to computer network. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed systems (implied data exfil) and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating no details on exfil method, but PHI/PII exposed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but unauthorized access occurred and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to systems (potential for manipulation). 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 (60%)
Exploit Public-Facing Application (40%)
Credential Access
OS Credential Dumping (50%)
Unsecured Credentials (50%)
Discovery
Account Discovery (60%)
File and Directory Discovery (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References