Incident Score: Analysis & Impact (WAK1778128534)
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 WAKE COUNTY SCHOOLS'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 WAKE COUNTY SCHOOLS 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 WAKE COUNTY SCHOOLS breach identified under incident ID WAK1778128534.
The analysis begins with a detailed overview of WAKE COUNTY SCHOOLS's information like the linkedin page: https://www.linkedin.com/company/wake-county-schools, the number of followers: 318, the industry type: Primary and Secondary Education and the number of employees: 136 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 773 and after the incident was 696 with a difference of -77 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 WAKE COUNTY SCHOOLS and their customers.
On 30 April 2024, Wake County Public School System disclosed Data Breach issues under the banner "Wake County Schools Canvas Data Breach".
The Wake County Public School System reported a cybersecurity breach involving Canvas, the education platform used by students and staff.
The disruption is felt across the environment, affecting Canvas education platform, and exposing Personal data of current students and employees.
In response, and stakeholders are being briefed through Alerted families about the breach.
The case underscores how Ongoing, teams are taking away lessons such as Need for heightened vigilance, multi-factor authentication, unique passwords, and monitoring for phishing attempts, and recommending next steps like Implement multi-factor authentication, Use unique passwords and Monitor for phishing attempts, with advisories going out to stakeholders covering State school leaders reinforced the importance of cybersecurity awareness.
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 (80%), supported by evidence indicating powerSchool contractor’s credentials were compromised (prior breach) and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating breach involving Canvas, the education platform used by students. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating canvas platform breach; likely OAuth or session token abuse and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating repeated security lapses suggest weak credential hygiene. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating personal data of current students and employees exposed via Canvas. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach potentially exposing personal data of students/employees. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware or data destruction, but breach occurred and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential unauthorized access to student/staff data in Canvas. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating contractor credentials compromised; likely used to bypass controls and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating 11-day delay between breach and detection (April 25 to April 30). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- WAKE COUNTY SCHOOLS Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/wake-county-schools/incident/WAK1778128534
- WAKE COUNTY SCHOOLS CyberSecurity Rating page: https://www.rankiteo.com/company/wake-county-schools
- WAKE COUNTY SCHOOLS Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/wak1778128534-wake-county-public-school-system-breach-april-2026/
- WAKE COUNTY SCHOOLS CyberSecurity Score History: https://www.rankiteo.com/company/wake-county-schools/history
- WAKE COUNTY SCHOOLS CyberSecurity Incident Source: https://abc11.com/post/wake-schools-notify-parents-canvas-data-breach/19054909/
- 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