University of Southern California Breach Incident Score: Analysis & Impact (UNIPRE1766527872)

In this Rankiteo incident briefing, we review the University of Southern California breach identified under incident ID UNIPRE1766527872.

The analysis begins with a detailed overview of University of Southern California's information like the linkedin page: https://www.linkedin.com/company/university-of-southern-california, the number of followers: 699372, the industry type: Higher Education and the number of employees: 23757 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 812 and after the incident was 781 with a difference of -31 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 Southern California and their customers.

On 23 December 2025, Premier Auto Credit disclosed Ransomware Attack issues under the banner "Premier Auto Credit Data Breach Investigation".

Premier Auto Credit experienced a significant data breach between Jan.

The disruption is felt across the environment, and exposing 156 GB.

In response, and stakeholders are being briefed through Disclosed to California and Massachusetts Attorney General's offices.

The case underscores how Ongoing, and recommending next steps like Sign up for free Cyberscout credit monitoring and identity theft protection services, Monitor financial statements regularly for suspicious activity and Request a fraud alert or credit report from major credit bureaus, with advisories going out to stakeholders covering Affected individuals notified and advised to take protective measures.

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 moderate confidence (60%), supported by evidence indicating attack vector unspecified, but ransomware suggests initial access via exploit and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating financial services supply chain risk noted (supply chain such as true). Under the Execution tactic, the analysis identified Ransomware execution likely via malicious payload (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware attack by Cloak group detected. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware attack resulting in data exposure. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating 156 GB of data published on the dark web and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration confirmed (data exfiltration such as Yes). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating sSNs and full names compromised (high-sensitivity data). Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating ransomware attack implies evasion of defenses. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.