Kaiser Permanente Breach Incident Score: Analysis & Impact (KAI1768267006)

In this Rankiteo incident briefing, we review the Kaiser Permanente breach identified under incident ID KAI1768267006.

The analysis begins with a detailed overview of Kaiser Permanente's information like the linkedin page: https://www.linkedin.com/company/kaiser-permanente, the number of followers: 1049900, the industry type: Hospitals and Health Care and the number of employees: 133680 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 418 and after the incident was 273 with a difference of -145 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 Kaiser Permanente and their customers.

Kaiser Permanente recently reported "Kaiser Permanente Patient Data Breach Settlement", a noteworthy cybersecurity incident.

Kaiser Permanente reached a $46 million settlement over alleged patient data breaches involving its websites and mobile applications.

The disruption is felt across the environment, affecting Websites and Mobile applications, and exposing Confidential personal and health information, including IP addresses, names, search terms, medical histories, communications with healthcare professionals, and site navigation details, plus an estimated financial loss of $46 million (settlement fund).

In response, moved swiftly to contain the threat with measures like Removal of certain online technologies from websites and mobile applications, and began remediation that includes Implementation of additional safeguards to prevent recurrence, and stakeholders are being briefed through Informed members in 2024; official settlement notices sent in 2025.

The case underscores how Settled, teams are taking away lessons such as Importance of securing third-party integrations and ensuring explicit user consent for data sharing, and recommending next steps like Enhance monitoring of third-party tracking technologies, implement stricter data sharing policies, and conduct regular audits of data transmission practices, with advisories going out to stakeholders covering Official settlement notices sent to members in 2025; members informed in 2024 about technology removal.

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 Supply Chain Compromise (T1195) with moderate to high confidence (80%), supported by evidence indicating third-party tracking tools including code from Google, Microsoft, Meta, and Twitter/X. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating exposed data...included IP addresses, names, medical histories, search terms and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating user navigation details...transmitted sensitive information without user consent. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating transmitted sensitive information...to companies such as Google, Microsoft, Meta, and Twitter/X and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating third-party tracking tools...transmitted sensitive information without user consent. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate confidence (60%), supported by evidence indicating iP addresses, names, medical histories, search terms, and user navigation details. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating kaiser stated it removed the tracking technologies in 2024. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.