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Analyze » CareNow » CAR1783427639

Incident Score: Analysis & Impact (CAR1783427639)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-88
Company Score Before Incident765 / 1000
Company Score After Incident677 / 1000
INCIDENT NUMBERCAR1783427639
Type of Cyber IncidentBreach
ATTACK VECTORTracking Technologies, Third-Party Access
DATA EXPOSEDPII, PHI, Medical Records, Social...
INCIDENT DATE19/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of CareNow'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 CareNow 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 CareNow breach identified under incident ID CAR1783427639.

The analysis begins with a detailed overview of CareNow's information like the linkedin page: https://www.linkedin.com/company/carenow, the number of followers: 5845, the industry type: Hospitals and Health Care and the number of employees: 922 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 765 and after the incident was 677 with a difference of -88 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 CareNow and their customers.

On 11 June 2024, CareNow disclosed Data Breach and Unauthorized Data Sharing issues under the banner "Healthcare Data Breaches Spark Wave of Class Action Lawsuits in Tennessee".

A series of class action lawsuits in state and federal courts are targeting major healthcare corporations for exposing patients’ personally identifiable information (PII) and protected health information (PHI).

The disruption is felt across the environment, affecting Online Appointment Platform and Dragonfly AI Platform, and exposing PII, PHI and Medical Records, with nearly 1.4 million records at risk.

In response, and stakeholders are being briefed through Denial of Allegations.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate confidence (60%), supported by evidence indicating tracking technologies embedded in its online appointment platform and Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating secretly shared patient data with Google and third-party marketing firms. Under the Collection tactic, the analysis identified Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (80%), supported by evidence indicating appointment details, physician names, treatment requests, IP addresses and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating 1.4 million patients’ PII and PHI, including medical records. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as true, 1.4 million records exposed and Data from Cloud Storage (T1530) with moderate confidence (60%), supported by evidence indicating tracking technologies transmitted data to Google accounts. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (T1557.001) with moderate confidence (50%), supported by evidence indicating cAPTCHAs prompted until first-party cookies accepted. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating failed to encrypt or redact sensitive data and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating google accounts linked to patients’ health data for targeted ads. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), supported by evidence indicating brand reputation impact such as workplace discrimination, insurance denial risk and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized data sharing for monetization. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise: Compromise Software Supply Chain (60%)
Trusted Relationship (70%)
Collection
Data from Information Repositories: Code Repositories (80%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Data from Cloud Storage (60%)
Credential Access
Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (50%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (60%)
Valid Accounts: Cloud Accounts (70%)
Impact
Defacement: Internal Defacement (50%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References