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Analyze » Palomar Health Medical Group » PAL1774024568

Incident Score: Analysis & Impact (PAL1774024568)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-77
Company Score Before Incident763 / 1000
Company Score After Incident686 / 1000
INCIDENT NUMBERPAL1774024568
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (PII) and...
INCIDENT DATE22/04/2024
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of Palomar Health Medical Group'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 Palomar Health Medical Group 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 Palomar Health Medical Group breach identified under incident ID PAL1774024568.

The analysis begins with a detailed overview of Palomar Health Medical Group's information like the linkedin page: https://www.linkedin.com/company/palomarhealthmedicalgroup, the number of followers: 3678, the industry type: Hospitals and Health Care and the number of employees: 352 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 763 and after the incident was 686 with a difference of -77 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 Palomar Health Medical Group and their customers.

On 15 October 2025, Palomar Health Medical Group (PHMG) / Arch Health Partners Inc. disclosed Data Breach issues under the banner "Palomar Health Medical Group Suffers Major Data Breach Affecting Thousands".

Between April 23 and May 5, 2024, Palomar Health Medical Group (PHMG), operating as Arch Health Partners Inc., experienced a significant data breach after an unauthorized actor gained access to its computer systems.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI), with nearly Thousands records at risk.

In response, and stakeholders are being briefed through Mailed notices to affected individuals.

The case underscores how Completed, and recommending next steps like Affected individuals advised to monitor accounts and credit reports for suspicious activity over the next 12 to 24 months, with advisories going out to stakeholders covering Complimentary credit monitoring and identity restoration services through Experian, including daily credit monitoring, identity theft insurance, and restoration assistance.

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 to high confidence (80%), supported by evidence indicating unauthorized actor gained access to its computer systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating intrusion detected on May 5, 2024, after unauthorized access. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating login credentials compromised in the breach and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, driver’s license details exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating pII and PHI exposed, including medical histories, insurance data and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating breach spanned multiple locations, affecting current/former patients. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating unauthorized access between April 23 and May 5, 2024 and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating highly sensitive data exposed, likely exfiltrated. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating significant data breach with no mention of recovery and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating identity theft, medical fraud, financial exploitation risks. 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 (80%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (30%)

Sources & References