Kaiser Permanente Breach Incident Score: Analysis & Impact (KAI1768267117)

In this Rankiteo incident briefing, we review the Kaiser Permanente breach identified under incident ID KAI1768267117.

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 311 and after the incident was 166 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 lawsuit settlement over alleged patient data breaches involving Kaiser websites and mobile applications.

The disruption is felt across the environment, affecting Kaiser Permanente websites and mobile applications, and exposing Confidential personal and health information, including IP addresses, names, search terms, medical histories, communications with healthcare professionals, and 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 measures to safeguard against recurrence, and stakeholders are being briefed through Notices sent to members in 2024 and settlement notices in 2025.

The case underscores how Settled, teams are taking away lessons such as Need for stricter oversight of third-party tracking technologies and enhanced data protection measures, and recommending next steps like Remove unauthorized third-party tracking code, implement expert-guided safeguards, and ensure compliance with data privacy regulations, with advisories going out to stakeholders covering Settlement notices sent to members.

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: Compromise Software Supply Chain (T1195.002) with moderate confidence (60%), supported by evidence indicating third-party tracking code transmitted confidential personal and health information. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating medical histories, communications with healthcare professionals compromised and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating iP addresses, names, search terms, navigation details collected. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data transmitted to companies like Google, Microsoft, Meta, and Twitter/X and Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating sensitive information shared with third-party tracking tools. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate confidence (50%), supported by evidence indicating user navigation details and IP addresses collected via tracking tools. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential reputational damage due to alleged data breach. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.