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Pulse Healthcare Breach Incident Score: Analysis & Impact (SPIWEAFLO1768501917)

The Rankiteo video explains how the company Pulse Healthcare has been impacted by a Ransomware on the date September 23, 2025.

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Incident Summary

Rankiteo Incident Impact
-198
Company Score Before Incident
663 / 1000
Company Score After Incident
465 / 1000
Company Link
Incident ID
SPIWEAFLO1768501917
Type of Cyber Incident
Ransomware
Primary Vector
NA
Data Exposed
Names, Social Security numbers, Government-issued ID numbers, Diagnoses, Case numbers
First Detected by Rankiteo
September 23, 2025
Last Updated Score
September 23, 2025

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Key Highlights From This Incident Analysis

  • Timeline of Pulse Healthcare's Ransomware and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Pulse Healthcare Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Pulse Healthcare breach identified under incident ID SPIWEAFLO1768501917.

The analysis begins with a detailed overview of Pulse Healthcare's information like the linkedin page: https://www.linkedin.com/company/wearepulsehealthcare, the number of followers: 25949, the industry type: Staffing and Recruiting and the number of employees: 536 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 663 and after the incident was 465 with a difference of -198 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 Pulse Healthcare and their customers.

On 29 September 2025, Spindletop Center disclosed Ransomware, Data Breach issues under the banner "Spindletop Center Ransomware and Data Breach".

Spindletop Center, a behavioral health clinic in Texas, experienced a ransomware attack in September 2025, resulting in a data breach that compromised sensitive personal information.

The disruption is felt across the environment, affecting Systems and servers were inoperable for a limited time, and exposing Names, Social Security numbers, Government-issued ID numbers, Diagnoses, Case numbers, with nearly 100,000 (claimed by Rhysida, unverified) records at risk.

In response, and stakeholders are being briefed through Notice to victims (PDF) submitted to Texas Attorney General.

The case underscores how Concluded, with advisories going out to stakeholders covering Notice to victims (PDF) submitted to Texas Attorney General.

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 confidence (50%), supported by evidence indicating unauthorized access may have occurred as early as September 23, 2025 and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating rhysida ransomware-as-a-service (RaaS) operation active since May 2023. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware attack in September 2025, resulting in a data breach. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating sensitive information...including names, Social Security numbers and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized access to sensitive information. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating records of 100,000 individuals claimed stolen by Rhysida and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating data breach compromising sensitive personal information. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, Social Security numbers, Government-issued ID numbers compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating diagnoses, case numbers, and other health information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating rhysida claimed data exfiltration of 100,000 records. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware encrypted systems, demanding 15 bitcoin ransom and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating systems and servers were inoperable for a limited time. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating rhysida ransomware-as-a-service (RaaS) operation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.