Incident Score: Analysis & Impact (KROCOL1780583387)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Columbia 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 Columbia 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 Columbia University breach identified under incident ID KROCOL1780583387.
The analysis begins with a detailed overview of Columbia University's information like the linkedin page: https://www.linkedin.com/company/columbia-university, the number of followers: 740462, the industry type: Higher Education and the number of employees: 23329 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 813 and after the incident was 749 with a difference of -64 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 Columbia University and their customers.
Columbia University recently reported "Columbia University Data Breach Exposes Unaffiliated Individuals’ Sensitive Data", a noteworthy cybersecurity incident.
In February, a data breach at Columbia University was discovered to have exposed sensitive data, including Social Security numbers, of individuals with no apparent ties to the institution.
The disruption is felt across the environment, and exposing Social Security numbers, admissions, enrollment, financial aid, and employee records.
In response, and stakeholders are being briefed through Initial notifications limited to 'members of the Columbia community'; later expanded to unaffiliated individuals.
The case underscores how Ongoing, teams are taking away lessons such as The breach underscores the risks of unchecked data aggregation by institutions, even for individuals with no direct relationship to the entity holding their information, with advisories going out to stakeholders covering Free credit monitoring via Kroll offered 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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating unauthorized access to admissions, enrollment, financial aid, and employee records and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating hacktivist behind the attack; initial breach framed as limited to community members. Under the Credential Access tactic, the analysis identified Container API (T1552.007) with lower confidence (40%), supported by evidence indicating decades of third-party data collection left sensitive data exposed and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers and other sensitive data compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating admissions, enrollment, financial aid, and employee records compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating data may trace back to standardized testing or external partnerships. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating hacktivist motivation tied to admissions policies; data breach scope unclear and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating third-party data collection and failed data-removal efforts. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating failed data-removal efforts left sensitive data exposed and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating unaffiliated individuals data exposed without explanation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Columbia University Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/columbia-university/incident/KROCOL1780583387
- Columbia University CyberSecurity Rating page: https://www.rankiteo.com/company/columbia-university
- Columbia University Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/krocol1780583387-kroll-columbia-university-breach-june-2025/
- Columbia University CyberSecurity Score History: https://www.rankiteo.com/company/columbia-university/history
- Columbia University CyberSecurity Incident Source: https://arstechnica.com/tech-policy/2026/06/my-ssn-was-exposed-in-a-breach-at-columbia-a-school-i-have-no-connection-with/
- 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