Incident Score: Analysis & Impact (WYA1764634700)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Wyandot Behavioral Health Network'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 Wyandot Behavioral Health Network 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 Wyandot Behavioral Health Network breach identified under incident ID WYA1764634700.
The analysis begins with a detailed overview of Wyandot Behavioral Health Network's information like the linkedin page: https://www.linkedin.com/company/wyandotbhn, the number of followers: 1344, the industry type: Mental Health Care and the number of employees: 219 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 756 and after the incident was 688 with a difference of -68 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 Wyandot Behavioral Health Network and their customers.
On 19 November 2025, Wyandot Center disclosed Data Breach issues under the banner "Data Breach at Wyandot Center Exposes Sensitive PII and PHI".
Wyandot Center, a nonprofit mental health care provider based in Kansas City, Kan., experienced a data breach involving unauthorized access to its network over a two-day period.
The disruption is felt across the environment, and exposing First and last name, Address and Date of birth.
In response, teams activated the incident response plan, and stakeholders are being briefed through Began notifying affected individuals by 2025-11-05.
The case underscores how Completed review of affected data by 2025-11-05; ongoing notifications, with advisories going out to stakeholders covering 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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to portions of the organization’s network over a two-day period and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating unusual activity within its systems (no specific vector, but public-facing exposure implied). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating compromised data may include first/last name, SSN, medical record number, PHI, etc.. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating potential unauthorized access or acquisition of information (method unspecified) and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating access over a two-day period suggests systematic data collection/exfiltration. Under the Impact tactic, the analysis identified Data from Cloud Storage Object (T1598) with moderate confidence (60%), supported by evidence indicating portions of the organization’s network (possible cloud/on-prem hybrid storage access) and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no explicit destruction mentioned, but high-impact breach implies potential tampering. Under the Defense Evasion tactic, the analysis identified File Deletion: Network Share Connection Removal (T1070.004) with lower confidence (40%), supported by evidence indicating unusual activity detected post-facto (suggests possible log/trace cleanup). Under the Credential Access tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (75%), supported by evidence indicating unauthorized access to portions of the network (likely required internal credential movement). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.