University of Pennsylvania Breach Incident Score: Analysis & Impact (UNI1764684299)

In this Rankiteo incident briefing, we review the University of Pennsylvania breach identified under incident ID UNI1764684299.

The analysis begins with a detailed overview of University of Pennsylvania's information like the linkedin page: https://www.linkedin.com/company/university-of-pennsylvania, the number of followers: 573411, the industry type: Higher Education and the number of employees: 22413 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 732 and after the incident was 665 with a difference of -67 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 Pennsylvania and their customers.

University of Pennsylvania (Penn) recently reported "University of Pennsylvania Oracle E-Business Suite Data Breach", a noteworthy cybersecurity incident.

The University of Pennsylvania (Penn) announced a data breach after attackers exploited a zero-day vulnerability in its Oracle E-Business Suite (EBS) servers in August 2025, stealing personal information of 1,488 individuals.

The disruption is felt across the environment, affecting Oracle E-Business Suite (EBS) servers and Internal systems (development and alumni activities), and exposing Personal information of 1,488 individuals (August breach) and Personal information of ~1.2 million students, alumni, and donors (October breach), with nearly ['1,488 (August breach)', '~1,200,000 (October breach)'] records at risk.

In response, and stakeholders are being briefed through Breach notification letter filed with Maine's Attorney General.

The case underscores how Ongoing (as of late October 2025), with advisories going out to stakeholders covering Breach notification letters sent 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.

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 exploited a zero-day vulnerability in the Oracle E-Business Suite (EBS) financial application and Phishing: Spearphishing via Voice (Vishing) (T1566.001) with moderate to high confidence (85%), with evidence including ivy League schools targeted by voice phishing attacks, and hacker breached systems used for development and alumni activities. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating stole documents containing personal information from Oracle E-Business Suite servers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including stole personal information belonging to 1,488 individuals, and exfiltrated personal information of ~1.2 million students, alumni, and donors. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (80%), with evidence including attackers stole documents containing personal information, and exfiltrated personal information belonging to roughly 1.2 million. Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (75%), supported by evidence indicating stole data on Penns development and alumni activities. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.