Incident Score: Analysis & Impact (VIR1767994827)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Virginia Urology'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 Virginia Urology 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 Virginia Urology breach identified under incident ID VIR1767994827.
The analysis begins with a detailed overview of Virginia Urology's information like the linkedin page: https://www.linkedin.com/company/virginia-urology, the number of followers: 1291, the industry type: Hospitals and Health Care and the number of employees: 265 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 763 and after the incident was 661 with a difference of -102 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 Virginia Urology and their customers.
On 15 December 2025, Med Atlantic, Inc. (Virginia Urology) disclosed Ransomware Attack issues under the banner "Med Atlantic (Virginia Urology) Data Breach".
Med Atlantic, Inc.
The disruption is felt across the environment, affecting Internal systems, and exposing Personally identifiable information (PII) and protected health information (PHI).
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured network, stopped unauthorized access, and began remediation that includes Forensic investigation, identity monitoring services, and stakeholders are being briefed through Public notice on website, notifications to affected individuals and regulators.
The case underscores how Ongoing (forensic investigation), and recommending next steps like Affected individuals should enroll in identity monitoring services, place fraud alerts, request credit freezes, and obtain an IRS Identity Protection PIN, with advisories going out to stakeholders covering Enrollment instructions for identity monitoring services mailed to affected individuals; guidance on fraud alerts, credit freezes, and IRS Identity Protection PIN provided.
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 unauthorized access to internal systems and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating attackers publicly claiming responsibility on dark web forum. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware attack by the group MS13-089. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating exposure of SSNs, medical records, employment data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating compromised data included PII and PHI from medical records and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating employment details processed by human resources were exposed. 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 Yes (threatened release by ransomware group). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware attack by the group MS13-089. Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (50%), supported by evidence indicating forensic investigation engaged to secure network and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating halt unauthorized access, secured network. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Virginia Urology Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/virginia-urology/incident/VIR1767994827
- Virginia Urology CyberSecurity Rating page: https://www.rankiteo.com/company/virginia-urology
- Virginia Urology Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/vir1767994827-virginia-urology-ransomware-november-2025/
- Virginia Urology CyberSecurity Score History: https://www.rankiteo.com/company/virginia-urology/history
- Virginia Urology CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/med-atlantic-dba-virginia-urology-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