Incident Score: Analysis & Impact (MON1768995600)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Monroe University'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 Monroe University 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 Monroe University breach identified under incident ID MON1768995600.
The analysis begins with a detailed overview of Monroe University's information like the linkedin page: https://www.linkedin.com/company/monroe-university, the number of followers: 44296, the industry type: Higher Education and the number of employees: 1388 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 598 and after the incident was 515 with a difference of -83 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 Monroe University and their customers.
On 02 January 2026, Monroe University disclosed Data Breach issues under the banner "Monroe University Data Breach Exposes Personal and Health Information of Over 320,000 Individuals".
Monroe University has disclosed a significant data security incident affecting approximately 320,973 individuals, whose personal and health information may have been compromised.
The disruption is felt across the environment, affecting University’s computer systems, and exposing Personal and health information of 320,973 individuals, with nearly 320,973 records at risk.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Immediate containment efforts, and stakeholders are being briefed through Mailed notifications to affected individuals.
The case underscores how Under review, with advisories going out to stakeholders covering Mailed notifications to affected individuals on January 2, 2026.
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 confidence (60%), supported by evidence indicating unauthorized party accessed the university’s computer systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach occurred between December 9 and December 23, 2024. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating email credentials...were compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers, driver’s license numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive files containing...medical records, health insurance details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating student data...was compromised via university’s computer systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating attacker exfiltrated sensitive files...confirmed by September 30, 2025 and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no evidence of data misuse, but exfiltration occurred. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data misuse, but breach confirmed and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (20%), supported by evidence indicating incident remains under review by authorities. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate confidence (60%), supported by evidence indicating intrusion detected on December 23, 2024, after 14 days of access and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating no details on attacker’s persistence or evasion methods. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Monroe University Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/monroe-university/incident/MON1768995600
- Monroe University CyberSecurity Rating page: https://www.rankiteo.com/company/monroe-university
- Monroe University Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mon1768995600-monroe-university-breach-december-2024/
- Monroe University CyberSecurity Score History: https://www.rankiteo.com/company/monroe-university/history
- Monroe University CyberSecurity Incident Source: https://talkofthesound.com/2026/01/21/monroe-university-data-breach-exposes-information-of-about-320000-people/
- 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