Incident Score: Analysis & Impact (PEM1764800555)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Pembina Trails School Division'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 Pembina Trails School Division 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 Pembina Trails School Division breach identified under incident ID PEM1764800555.
The analysis begins with a detailed overview of Pembina Trails School Division's information like the linkedin page: https://www.linkedin.com/company/pembina-trails-school-division, the number of followers: 1881, the industry type: Education Administration Programs and the number of employees: 781 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 767 and after the incident was 691 with a difference of -76 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 Pembina Trails School Division and their customers.
Pembina Trails School Division recently reported "Pembina Trails School Division Cybersecurity Breach", a noteworthy cybersecurity incident.
Contact and social insurance details belonging to some students, employees’ bank account numbers and images of cheques were among the data exposed in a hack against a Winnipeg school division.
The disruption is felt across the environment, and exposing Personal and sensitive information of students and staff, including social insurance numbers, passport numbers, health card numbers, bank account numbers, and disciplinary records.
In response, and stakeholders are being briefed through Public announcement of breach details.
The case underscores how Ongoing, with advisories going out to stakeholders covering Public announcement to affected students and staff.
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 personal information accessed suggests possible account compromise and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating educational institution likely had public-facing systems. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating images of cheques and passport pages accessed and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating bank account numbers and personal data exposed. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating student/staff records from 1999-2024 accessed and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating disciplinary records and health details collected. Under the Exfiltration tactic, the analysis identified Exfiltration Over Web Service (T1567) with high confidence (90%), supported by evidence indicating data published on the dark web for sale and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed in incident details. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating ransomware details not confirmed but data exfiltrated and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating no evidence of data manipulation, but high impact noted. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Pembina Trails School Division Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/pembina-trails-school-division/incident/PEM1764800555
- Pembina Trails School Division CyberSecurity Rating page: https://www.rankiteo.com/company/pembina-trails-school-division
- Pembina Trails School Division Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/pem1764800555-pembina-trails-school-division-breach-december-2025/
- Pembina Trails School Division CyberSecurity Score History: https://www.rankiteo.com/company/pembina-trails-school-division/history
- Pembina Trails School Division CyberSecurity Incident Source: https://www.winnipegfreepress.com/breakingnews/2025/12/03/school-division-releases-findings-from-probe-into-2024-cybersecurity-breach
- 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