Incident Score: Analysis & Impact (ARC1764959059)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Archer Health's Ransomware 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 Archer 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 Archer Health breach identified under incident ID ARC1764959059.
The analysis begins with a detailed overview of Archer Health's information like the linkedin page: https://www.linkedin.com/company/archer-health, the number of followers: 292, the industry type: Health, Wellness & Fitness and the number of employees: 7 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 661 and after the incident was 535 with a difference of -126 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 Archer Health and their customers.
On 06 November 2025, Archer Health disclosed Ransomware issues under the banner "Archer Health Data Breach".
Archer Health, a provider of onsite and on-demand healthcare services for businesses, reported a significant data breach compromising personally identifiable information (PII) and protected health information (PHI) of at least 4,285 individuals.
The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI), with nearly 4285 records at risk.
In response, and stakeholders are being briefed through Posted a notice of data privacy incident on its website and notified affected individuals.
The case underscores how and recommending next steps like Affected individuals should be vigilant for signs of identity theft, fraud, or phishing attempts, with advisories going out to stakeholders covering Notice of data privacy incident posted on the company website and notifications sent 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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating attack vector and vulnerability exploited not specified and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating ransomware attack implies possible initial access via compromised credentials. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating no direct evidence, but common in ransomware attacks and Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating no direct evidence, but plausible in healthcare breaches. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating attackers not only encrypted files but also exfiltrated data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes, threatened to publish it within seven to eight days and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating dark web publication implies data staging for exfiltration. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate confidence (60%), supported by evidence indicating ransomware implies movement within network to encrypt files. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate to high confidence (70%), supported by evidence indicating ransomware often deletes logs to evade detection and Execution Guardrails (T1480) with moderate confidence (50%), supported by evidence indicating no direct evidence, but common in ransomware. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating compromised information includes names, dates of birth, SSNs, medical info. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Archer Health Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/archer-health/incident/ARC1764959059
- Archer Health CyberSecurity Rating page: https://www.rankiteo.com/company/archer-health
- Archer Health Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/arc1764959059-archer-health-ransomware-november-2025/
- Archer Health CyberSecurity Score History: https://www.rankiteo.com/company/archer-health/history
- Archer Health CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/archer-health-2025
- 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