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Analyze » Excel Health » EXC1772484583

Incident Score: Analysis & Impact (EXC1772484583)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-64
Company Score Before Incident760 / 1000
Company Score After Incident696 / 1000
Company LinkView Excel Health Profile
INCIDENT NUMBEREXC1772484583
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personally identifiable information (PII)
INCIDENT DATE12/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Excel Health'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 Excel Health 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 Excel Health breach identified under incident ID EXC1772484583.

The analysis begins with a detailed overview of Excel Health's information like the linkedin page: https://www.linkedin.com/company/excelhealth, the number of followers: 606, the industry type: Hospitals and Health Care and the number of employees: 35 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 760 and after the incident was 696 with a difference of -64 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 Excel Health and their customers.

On 13 January 2026, Excel Healthcare Receivable Management & Consulting Corp. disclosed Data Breach issues under the banner "Excel Healthcare Receivable Management Corp. Data Breach".

Excel Healthcare Receivable Management & Consulting Corp., a Florida-based financial services firm specializing in revenue cycle management for healthcare providers, disclosed a data breach on January 13, 2026.

The disruption is felt across the environment, and exposing Sensitive personally identifiable information (PII).

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 confidence (60%), supported by evidence indicating financial services firm specializing in revenue cycle management and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach potentially compromised sensitive PII. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating sensitive personally identifiable information (PII) of affected individuals and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating high sensitivity of data compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personally Identifiable Information (PII) type of data compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating healthcare revenue cycle management firm. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating breach potentially compromised sensitive PII and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating high identity theft risk noted. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating potential class action lawsuit and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating sensitive PII compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Alternative Protocol (60%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (50%)

Sources & References