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Analyze » Pinnacle Healthcare » PIN1772670519

Incident Score: Analysis & Impact (PIN1772670519)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-62
Company Score Before Incident710 / 1000
Company Score After Incident648 / 1000
INCIDENT NUMBERPIN1772670519
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and health-related information
INCIDENT DATE03/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Pinnacle Healthcare'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 Pinnacle Healthcare 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 Pinnacle Healthcare breach identified under incident ID PIN1772670519.

The analysis begins with a detailed overview of Pinnacle Healthcare's information like the linkedin page: https://www.linkedin.com/company/pinnacle-healthcare, the number of followers: 208, the industry type: Staffing and Recruiting and the number of employees: 50 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 648 with a difference of -62 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 Pinnacle Healthcare and their customers.

On 25 November 2024, Pinnacle disclosed Data Breach issues under the banner "Pinnacle Healthcare Data Breach Exposes Sensitive Patient Information".

Pinnacle, a healthcare services provider, recently disclosed a data breach that may have compromised sensitive personal and health-related information.

The disruption is felt across the environment, and exposing Sensitive personal and health-related information.

In response, and stakeholders are being briefed through Breach notice posted on website; affected individuals to receive breakdown of specific data impacted.

The case underscores how Ongoing, and recommending next steps like Offering complimentary credit monitoring services to affected individuals, with advisories going out to stakeholders covering Affected individuals will receive a breakdown of the specific data impacted.

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 third party accessed and potentially acquired patient data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating network disruption affecting certain systems detected on November 25, 2024. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating access to highly sensitive personal and health-related information and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers, driver’s license/state ID numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating medical records, diagnoses, treatment details, prescription information compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating health insurance information, claim and policy numbers accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data potentially acquired by unauthorized third party between Nov 11-25, 2024 and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating highly sensitive data exfiltrated; no encryption details provided. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating network disruption affecting certain systems detected and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating potential unauthorized modification of patient data. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access remained undetected for 14 days (Nov 11-25, 2024) and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating no details on attack vector or vulnerability exploited. 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 (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (30%)
Defense Evasion
Valid Accounts (60%)
Hide Artifacts (50%)

Sources & References