University of Phoenix Breach Incident Score: Analysis & Impact (PRIORAUNI1766419165)

In this Rankiteo incident briefing, we review the University of Phoenix breach identified under incident ID PRIORAUNI1766419165.

The analysis begins with a detailed overview of University of Phoenix's information like the linkedin page: https://www.linkedin.com/company/university-of-phoenix, the number of followers: 1104540, the industry type: Higher Education and the number of employees: 7162 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 807 and after the incident was 769 with a difference of -38 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 University of Phoenix and their customers.

On 01 December 2025, University of Phoenix disclosed Data Breach, Ransomware issues under the banner "Clop Ransomware Gang Steals Data of 3.5 Million University of Phoenix Students and Staff".

The Clop ransomware gang has stolen the data of nearly 3.5 million University of Phoenix (UoPX) students, staff, and suppliers after breaching the university's network in August 2025.

The disruption is felt across the environment, affecting Oracle E-Business Suite (EBS) financial application, and exposing 3,489,274 records, with nearly 3,489,274 records at risk.

In response, and stakeholders are being briefed through Public disclosure on official website, SEC filing, notification letters to affected individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notification letters mailed to affected individuals, public disclosure on website.

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.

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 high confidence (95%), supported by evidence indicating exploitation of zero-day vulnerability (CVE-2025-61882) in Oracle E-Business Suite (EBS). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Network Device Configuration (T1552.008) with moderate to high confidence (70%), supported by evidence indicating oracle E-Business Suite (EBS) financial application breached, potential access to stored credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stolen data includes names, SSNs, bank account info, and contact details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating clop ransomware gang listed university on data leak site, confirming exfiltration. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating clop ransomware gang involved, though no explicit encryption evidence and Financial Theft (T1657) with moderate to high confidence (80%), supported by evidence indicating bank account and routing numbers compromised, $1M fraud reimbursement policy offered. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (80%), supported by evidence indicating exploitation of zero-day (CVE-2025-61882) to bypass defenses. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.