Incident Score: Analysis & Impact (PIVPIV1778783612)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Pivot Health by Healthcare.com'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 Pivot Health by Healthcare.com 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 Pivot Health by Healthcare.com breach identified under incident ID PIVPIV1778783612.
The analysis begins with a detailed overview of Pivot Health by Healthcare.com's information like the linkedin page: https://www.linkedin.com/company/pivothealth, the number of followers: 1348, the industry type: Insurance and the number of employees: 47 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 750 and after the incident was 669 with a difference of -81 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 Pivot Health by Healthcare.com and their customers.
On 13 March 2026, Pivot Health disclosed Data Breach issues under the banner "Pivot Health Data Breach Exposes Sensitive Information of Over 1,100 Texas Residents".
Pivot Health, a tech-driven insurance provider specializing in short-term medical and supplemental health plans, confirmed a data breach after detecting suspicious activity in its Amazon Web Services (AWS) environment.
The disruption is felt across the environment, affecting Amazon Web Services (AWS) environment, and exposing Sensitive personal and health information, with nearly 1,172 records at risk.
In response, and stakeholders are being briefed through Mail and website notice to affected individuals.
The case underscores how Ongoing, with advisories going out to stakeholders covering Mail and website notice to affected individuals.
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 accessed the system between February 26 and March 13, 2026 and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity in its Amazon Web Services (AWS) environment. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating aWS environment accessed by unauthorized actor and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no details on attacker’s entry method. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating sensitive data including names, dates of birth, health insurance details and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating viewing or copying sensitive data in AWS environment. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed information includes names, dates of birth, health insurance details and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating aWS environment contained billing, payment records, financial account info. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating unauthorized actor viewed or copied sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating aWS environment breach with data exfiltration. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on attacker’s motives or actions post-exfiltration and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized actor accessed and copied sensitive data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Pivot Health by Healthcare.com Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/pivothealth/incident/PIVPIV1778783612
- Pivot Health by Healthcare.com CyberSecurity Rating page: https://www.rankiteo.com/company/pivothealth
- Pivot Health by Healthcare.com Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/pivpiv1778783612-healthcarecom-pivot-health-breach-february-2026/
- Pivot Health by Healthcare.com CyberSecurity Score History: https://www.rankiteo.com/company/pivothealth/history
- Pivot Health by Healthcare.com CyberSecurity Incident Source: https://www.claimdepot.com/investigations/pivot-health-data-breach-2026
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf