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Analyze » Providence Health & Services » PRO1775673374

Incident Score: Analysis & Impact (PRO1775673374)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-63
Company Score Before Incident787 / 1000
Company Score After Incident724 / 1000
INCIDENT NUMBERPRO1775673374
Type of Cyber IncidentBreach
ATTACK VECTORMisconfiguration/Technology Issue
DATA EXPOSEDSensitive patient information including full...
INCIDENT DATE29/08/2024
STATUSCompleted (internal investigation)

Key Highlights From The Incident Analysis

  • Timeline of Providence Health & Services'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 Providence Health & Services 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 Providence Health & Services breach identified under incident ID PRO1775673374.

The analysis begins with a detailed overview of Providence Health & Services's information like the linkedin page: https://www.linkedin.com/company/providence-health-and-services, the number of followers: 145282, the industry type: Hospitals and Health Care and the number of employees: 19495 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 787 and after the incident was 724 with a difference of -63 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 Providence Health & Services and their customers.

On 11 February 2026, Providence disclosed Data Breach issues under the banner "Providence Data Breach Affecting 1,200 California Patients Due to Health Information Exchange Issue".

Providence disclosed a data breach impacting approximately 1,200 patients across California due to a 'technology issue' within Health Gorilla, a health information exchange (HIE) platform used for sharing patient data.

The disruption is felt across the environment, affecting Health Gorilla HIE platform, and exposing Sensitive patient information including full names, dates of birth, addresses, insurance information, medical diagnoses, test results, and medications, with nearly 1,200 records at risk.

In response, and began remediation that includes Review of data-sharing protocols and collaboration with technology partners, and stakeholders are being briefed through Public disclosure on February 11, 2026, with identity protection services offered to affected patients.

The case underscores how Completed (internal investigation), teams are taking away lessons such as Need for stricter access controls and monitoring of HIE platforms to prevent unauthorized data sharing, and recommending next steps like Enhance data-sharing protocols, implement stricter access controls, and improve monitoring of third-party platforms, with advisories going out to stakeholders covering Affected patients offered one year of identity protection services through IDX (contact: 1-888-202-1558).

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 Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating technology issue within Health Gorilla, a health information exchange (HIE) platform. Under the Credential Access tactic, the analysis identified Exploitation for Credential Access (T1212) with moderate confidence (60%), supported by evidence indicating hIE participants accessed or shared patient information without legitimate business need. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed data included full names, dates of birth, addresses, insurance info, medical diagnoses. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating hIE platform used to share patient data with other healthcare providers. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating certain HIE participants may have accessed or shared patient information and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of hacking or theft by third parties. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating technology issue within Health Gorilla HIE platform leading to unauthorized access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Trusted Relationship (80%)
Credential Access
Exploitation for Credential Access (60%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over Alternative Protocol (70%)
Impact
Data Manipulation: Stored Data Manipulation (50%)
Data Destruction (30%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (60%)

Sources & References